Research Article Strategic Wholesale Pricing and Commonality Strategy in a Supply Chain with Quality Segmentation

Size: px
Start display at page:

Download "Research Article Strategic Wholesale Pricing and Commonality Strategy in a Supply Chain with Quality Segmentation"

Transcription

1 indawi Publihing Corporation Matheatical Proble in Engineering Volue 015 Article ID page Reearch Article Strategic Wholeale Pricing and Coonality Strategy in a Supply Chain with Quality Segentation Tiantian Xu Tiaojun Xiao and Chen Tian School of Manageent Science and Engineering Nanjing Univerity Nanjing China Correpondence hould be addreed to Tiaojun Xiao; xiaotj@nju.edu.cn Received 6 Septeber 014; Accepted 19 March 015 Acadeic Editor: Ben T. Nohara Copyright 015 Tiantian Xu et al. Thi i an open acce article ditributed under the Creative Coon Attribution icene which perit unretricted ue ditribution and reproduction in any ediu provided the original work i properly cited. We develop two gae odel of a one-upplier and one-anufacturer upply chain to invetigate the upplier trategic wholeale pricing deciion and the anufacturer coonality trategy. The anufacturer ha three coonality trategie for the highend and low-end product: coon high-quality coponent coon low-quality coponent and dedicated coponent. We conider both wholeale price firt cenario and coonality trategy firt cenario. Under the wholeale price firt cenario we identify the range of each coonality trategy and find that (i) the coon low-quality coponent trategy i harful to the upplier; (ii) if the quality of low-quality coponent and the unit production cot of high-quality coponent are ufficiently low the upplier induce the coon high-quality coponent trategy by trategically decreaing the unit wholeale price of highquality coponent while if they are ufficiently high the upplier induce the dedicated coponent trategy by increaing the unit wholeale price of high-quality coponent and decreaing that of low-quality one. Under the coonality trategy firt cenario the coon low-quality coponent trategy ay exit. By coparing the two cenario we find that (i) if the unit production cot of low-quality coponent i ediu the equilibriu outcoe under both cenario are identical; (ii) there exit a firt-over advantage for the two player. 1. Introduction In reality conuer are heterogeneou following their valuation over product quality. To target different conuer anufacturer provide variant product with different quality level. For exaple enovo offer two ain erie IdeaPad and ThinkPad laptop and provide ix different type for each erie. When deigning product line one of the iportantprobleforanageriwhethertoueacooncoponent acro different product or not. In practice coon coponent ha been widely ued a a buine trategy; for exaple General Motor ue the ae engine and platfor acro exu and Cary [1]. In 013 Apple ued Cellular and Wirele Diplay eadphone and Connector a coon coponent within the new product iphone 5 and iphone 5c. Soe anufacturer purchae key coponent fro the uptrea upplier and then ue the to aeble different product with their own aterial and production kill. When purchaing key coponent the anufacturer ue dedicated coponent to differentiate the product or adopt a coon coponent for a high quality-price perforance. For exaple in coputer indutry Tohiba ue the ae type of Intel CPU to produce coputer uch a 40- AC05W1 and C40-Q-AT01W1 together with Tohiba own hard dik. owever when releaing a new product T40 enovo offer two verion with different Intel CPU: I3 and I5. Product line configuration of the anufacturer affect product ubtitutability a well a the price copetition between the product within a product line. Further it affect the uptrea upplier wholeale price deciion. In thi paper we will invetigate the trategic wholeale pricing deciion of the upplier. The extant literature about coon coponent conider the anufacturer coonality trategy [] where the upplier wholeale price behavior i ignored. owever the coonality trategy affect the order quantitie of key coponent a well a the profit of the upplier providing key coponent. When the anufacturer chooe a coonality trategy to axiize hi profit the upplier benefit ay be hared. Thu the upplier will trategically adjut her

2 Matheatical Proble in Engineering unit wholeale price to induce the anufacturer to chooe the coonality trategy that axiize the upplier profit. The anufacturer coonality trategy coplicate the upplier wholeale price deciion. Thi paper will invetigate how the upplier trategically ake the wholeale price deciion when the anufacturer decide whether to ue a coon coponent. To be pecific we develop two gae odel of a oneupplier and one-anufacturer upply chain to invetigate the upplier wholeale pricing trategy and the anufacturer coonality trategy where the anufacturer produce two product. Each product i aebled fro two key coponent where one i purchaed fro the upplier while theotheriproducedin-houe.theanufacturerdecide whethertobuytheaecoponent.iftheanufacturer chooe a coon coponent then the anufacturer decide to chooe the coon high-quality coponent or the coon low-quality one fro the upplier. We derive the deandfunctionfrotheconuer utilitywhichiinfluenced by the quality level and price of the product. We conider two cenario: wholeale price firt (WPF) cenario and coonality trategy firt (CSF) cenario. Under WPF cenario the upplier trategically offer a unit wholeale price to induce a coonality trategy. We identify the range of each coonality trategy and find that the coon low-quality coponent trategy i not an equilibriu becaue product differentiation can iprove the upplier profit uch that the upplier trategically offer a unit wholeale price to induce dedicated coponent trategy. Under CSF cenario the anufacturer chooe coonality trategy before the upplier offer the unit wholeale price. We give the range of uing a coonality trategy and find that the coon lowquality coponent trategy exit when the unit production cot of the low-quality coponent i ediu which i inconitent with that under WPF cenario; the upplier profit under WPF cenario i higher than under CSF cenario while the anufacturer profit under WPF cenario i lower.. iterature Review Thi paper i cloely related to the literature that exaine the iplication of coon coponent in product line deign proble. Whether to ue coon coponent acro product [ 3] and uing which kind of coon coponent [4] are two very iportant deciion. Berntein et al. [5] deontrate that the coonality deciion will not affect equilibriu deciion when the coponent i ued in the whole line while it can influence the optial deciion when the coponent i ued in part of line. Coon coponent ay benefit the low-end product while har the high-end one [6]. Uing coon coponent ay be accopanied with econoie of cale [7 8] and deign cot reduction effect [1 9]. Deai et al. [1] jut conider one kind of deign cot while eee and Swainathan[9] replenih their work with everal cot for. Subraanian et al. [10] tudy the ipact of reanufacturing on the coonality trategy. There are two review done by abro [11]andFixon[1]. The above odel focu on coonality iue fro the anufacturer perpective and tudy the trade-off between the cot reduction and cannibalization effect. owever we tudy the coonality trategy fro the upply chain perpective epecially the vertical interaction between the upplier and the anufacturer. Our paper i alo related to product line deign proble. Within a product line product can be vertically or horizontally different. There are odel that integrate both horizontal and vertical differentiation to olve the product line deign proble [1 8 13]. For the horizontal one oe reearcher how the optial variety level through aking the trade-off between arket deand and production cot [14 16]. The other conider the product line deciion in the upply chain etting to how the relationhip between variety and double arginalization effect [17 19]. The vertical differentiationodelipioneeredbymuaandroen[0] and extended by Moorthy [1]. After that variou product line deign proble of the anufacturer are conidered uch a facing a downtrea ditributor [] coon coponent [1 8] pecial developent intenive product with fixed cot [3] and different production cot [4]. Thee odel ainly aue that there are two exogenou arket egent. Market egentation can be influenced by oe arket tool uch a product poitioning [5] and operationrelated cot [6]. We invetigate when a coon coponent hould be ued in a upply chain where there are two arket egent. Thi paper i alo related to the trategic wholeale pricing deciion. Although the wholeale price i a very coon deciion in a upply chain odel trategic wholeale pricing deciion i rarely tudied. Strategic wholeale pricing ean that the upplier can trategically offer a unit wholeale price to induce the downtrea fir or the potential entrant upplier to chooe a trategy that i beneficial to the upplier. For exaple the upplier can trategically chooe the unit wholeale price to deter or allow the entry of the potential entrant upplier [7]. That i the uptrea upplier can induce the downtrea fir to chooe a trategy through adjuting the unit wholeale price. In thi paper we invetigate how the upplier offer a trategic wholeale pricing deciion to induce a coonality trategy. In uary thi paper contribute to the literature by conidering the trategic wholeale pricing and coonality deciion in a one-upplier and one-anufacturer upply chain. We invetigate how the upplier ake the wholeale price deciion when facing a downtrea anufacturer who ha three potential product line configuration trategie. We conider WPF cenario and CSF cenario. We exaine the effect of gae equence on equilibriu outcoe and profit by coparing the two cenario. 3. The Baic Model (Wholeale Price Firt (WPF) Scenario) Conider a upply chain coniting of one upplier (he) and one anufacturer (he) where the anufacturer purchae

3 Matheatical Proble in Engineering 3 one of key coponent denoted by A frotheupplier. The anufacturer produce the product with coponent A and hi own coponent B. Totargetdifferentconuer egent the anufacturer provide high-end product () and low-end product () We refer to product a egent i i =.FollowingDeaietal.[1] we aue that the product quality perceived by conuer can be expreed a q i i=whereq i i the product quality of egent i; q >q >0.Providingqualityq Ai for coponent A in egent i incur a arginal cot c Ai to the upplier; c A >c A.To focu on trategic factor we noralize the anufacturer arginal cot for coponent B in egent to zero. et the anufacturer arginal cot for coponent B in egent be c B >0. The anufacturer can chooe one or two type of coponent A to finih the production of the end product together with hi own coponent B. The anufacturer ha three coonality trategie: (a) coon low-quality coponent A ; (b) coon high-quality coponent A ;(c)two different quality level for coponent A to provide dedicated product (dedicated coponent). For exaple we ue upercript to repreent coonality trategy. The quality of the end product depend on it configuration profile.theproductqualitycanbeperceivedbyconuera q i =ω A q Ai +ω B q Bi i=whereω A and ω B are iportance weight that conuer endow to coponent A and B repectively. If the anufacturer chooe trategy the qualitie are q i =ω A q A +ω B q Bi while quality level can be expreed a q i =ω A q A +ω B q Bi if the anufacturer adopt trategy.sowehaveq =q q =q andq q =ω B (q B q B )=q q. We conider a arket in which conuer have heterogeneou valuation over quality. et the quality valuation of conuer be θ and the retail price of product i be p i. The utility function of the conuer buying product i i U(θ p i q i )=θq i p i. We noralize arket ize to one. Following Chayet et al. [5] and Yu[6] we aue that quality valuation θ i uniforly ditributed over the interval [0 1]. A conuer buy a product when the conuer can achieve the axial poitive utility. The conuer buy the high-end product only when θq p θq p and θq p 0 where θq p θq p i equivalent to θ θ 1 = (p p )/(q q ) and the conuer buy the low-end product when θq p θq p and θq p 0; explicitly θ (p /q θ 1 ).SiilartoYu[6] we can depict Figure 1. Defineθ = p /q (> 0). Froθ > θ 1 > θ it follow that θq p 0; that i the participation contraint of the conuer with θ>θ 1 i atified. The conuer with θ [θ 1 1]will buy the high-end product while the conuer with θ [θ θ 1 ) will buy the low-end product. Further the deand for the high-end product i D =1 θ 1 and that for the low-end one i D =θ 1 θ. 0<θ <θ 1 <1hould be atifiedtoenurebothproducthavepoitivedeand. Fro the definition of θ 1 and θ weobtainp =q θ 1 + q (θ θ 1 ) and p = θ q.thuwecanubtituteθ 1 and θ for p and p a the deciion variable. If the anufacturer chooe trategy (i.e. uing low- (high-) quality U(θ) U(θ) = θq p U(θ) = θq p 0 θ θ 1 1 p p Figure 1: Utility of conuer veru quality valuation. coponent A and B to produce low- (high-) quality product) the upplier profit i π (θ 1 θ w A w A ) =(1 θ 1 )(w A c A )+(θ 1 θ )(w A c A ) and the anufacturer profit i π (θ 1θ w A w A ) =(1 θ 1 )[q θ 1 +q (θ θ 1 ) w A c B ] +(θ 1 θ )(θ q w A ). If the anufacturer chooe trategy the upplier profit i π (θ 1 θ w A )=(1 θ )(w A c A ) (3) where 1 θ repreent the total purchaing quantity for uing coon low-quality coponent A. The anufacturer profit i π (θ 1θ w A ) =(1 θ 1 )[q θ 1 +q (θ θ 1 ) w A c B ] +(θ 1 θ )(q θ w A ) where the firt-ter i the anufacturer profit fro the high-end product while the econd-ter i the profit fro the low-end one. If the anufacturer chooe trategy the upplier profit i π (θ 1 θ w A )=(1 θ )(w A c A ) (5) and the anufacturer profit i π (θ 1θ w A ) =(1 θ 1 )[q θ 1 +q (θ θ 1 ) w A c B ] +(θ 1 θ )(q θ w A ). θ (1) () (4) (6)

4 4 Matheatical Proble in Engineering According to the tie equence of the unit wholeale price and coonality deciion we divide the dicuion into two cenario: WPF cenario and CSF cenario. Under WPF cenario the anufacturer chooe coonality trategy only when he oberve the unit wholeale price. Specificallythetieequenceofthegaeiafollow. (i) The upplier deterine the unit wholeale price of coponent A(w A w A ). (ii) Oberving the unit wholeale price the anufacturer firt chooe coonality trategy or and then decide the retail price. By uing backward induction technique we can olve the ubgae perfect Nah equilibriu (SPNE). 4. Equilibriu Analyi 4.1. Reaction of the Manufacturer. Given the unit wholeale price we can obtain the retail price reaction of the anufacturer (θ 1 and θ ). Furtherore we can obtain the deand and retail price of the high-end and the low-end product which are uarized in Propoition 1. Toenurethatthe deand for each product i poitive we aue that product differentiation i very large throughout thi paper: q q > c B. According to the definition of product quality we have q q >q q =q q. Propoition 1. (i) Under trategy the deand are D D (w Aw A )= 1 c B +(w A w A ) (q q ) (w Aw A )= c Bq and the retail price are p +w A q w A q q (w A) = (c B +q (q q ) +w A) p (w A )= (q +w A ) ; (ii) under trategy the deand function are (7) (8) (iii) under trategy the deand are D (w A )= and the retail price are p D (q =D c B q (w A) =p (w A) ) w A q p (w A )= (q +w A ). (11) (1) Propoition 1 iplie that if the anufacturer ue trategy the deand of the high-end product increae with product differentiation (the difference between the product quality level). When product differentiation increae oe conuer who buy the low-end product ay turn to buy the high-end one. The deand of the low-end product increae with it quality level while it decreae with the quality of high-end product. That i when the quality level of the low-end product increae the total deand of the two product increae while the deand of the high-end one decreae. owever when the quality of the high-end product increae the deand of the low-end one decreae becaue oe conuer are attracted to buy the high-end product. When the unit production cot of coponent B increae the deand of the high-end product decreae while the low-end one increae. If the anufacturer chooe a coon coponent the deand of the high-end product only relate to quality difference and the unit production cot of coponent B.Froq =q q we ee that the deand of the q high-end product under trategy i equal to that under trategy ;thatid =D. Fro Propoition 1 we know that the retail price of the high-end product increae with it own quality the unit production cot of coponent B and the unit wholeale price. The retail price of the high-end product under trategie and are identical becaue of q = q.iftheanufacturer ue trategy theretailpriceilowerduetothe lower quality. Siilarly we can know that the retail price of the low-end product under trategie and are identical which i lower than that under trategy. The deand of both high-end and low-end product hould be poitive. ea give the valid paraeter etting. and the retail price are D = 1 c B (q q ) D (w c A) = B (q q ) w A q p +w A) (w A) = (c B +q p (w A) =p (w A ); (9) (10) ea. If the unit wholeale price atify w A [(q q ) c B] <w A < c Bq q w A q c B <w A < c Bq q q q q then the anufacturer will provide two end product. (13) Under trategy or when the unit wholeale price increae the deand of the low-end one will decreae due

5 Matheatical Proble in Engineering 5 w A w A0 w A =w A +Δw I w A = (w A B 1 )/A 1 II w A0 III w A = q /q w A +q q q w A Figure : Coonality trategy veru the unit wholeale price. to a higher retail price. Fro ea weknowthatthe unit wholeale price hould be ufficiently low (w A < (c B q /(q q )) w A < c B q /(q q ))when the anufacturer ue coon coponent. By inerting the reaction function into () (4) and(6) we can obtain the profit function of the anufacturer: π (w Aw A ) π (w A) and π (w A). ea 3 decribe the effect of the unit wholeale price on the anufacturer profit. ea 3. (i) Under trategy the anufacturer profit i a convex and decreaing function of the unit wholeale price in each egent; (ii) under trategy or theanufacturer profitiaconvexanddecreaingfunctionoftheunitwholeale price. ea 3 iplie that within the feaible region given by ea the decreaing peed of the anufacturer profit in the unit wholeale price becoe fater. The anufacturer deterine the coonality trategy baed on the profit under different condition. Define F 1 = π (w Aw A ) π (w A) F = π (w Aw A ) π (w A) andf 3 = π (w A) π (w A). Theanufacturer will ue trategy if F 1 0 and F 0the anufacturerwouldliketouetrategy if F <0and F 3 0 and the anufacturer would like to ue trategy if F 1 <0and F 3 <0. Propoition 4 uarize the coonality trategy of the anufacturer given the unit wholeale price w A w A ; alo ee Figure. Propoition 4. If (w A w A ) Itheanufacturerue trategy ; if (w A w A ) II the anufacturer will ue trategy while the anufacturer ue trategy if (w A w A ) III where region I={(w A w A ) w A +Δw w A (w A B 1 ) A 1 } II = {(w A w A ) w A > ax {w A +Δw w A }} B 1 A 1 = q = q c B w A = q (q q q q + (q Δw =((q ) (q q w A +q q )(q q q q q q q )(q (q q ) )q q q q c B )(q q ) (q q c B ) (q (q q ) 1. q )(q q )) )q q (14) Propoition 4 not only anwer how the anufacturer react to the unit wholeale price but alo how guidance about how the upplier hould et her optial unit wholeale price. Figure how that threhold w A0 and w A0 are iportant value and the anufacturer ue trategy only when both unit wholeale price are lower than thee threhold. Fro ea 3 we know that a high unit wholeale price of the high-quality coponent A will lead to a low profit for the anufacturer under trategy while it doe not change the profit of the anufacturer uing trategy. So the upplier can et a ufficiently high unit wholeale price w A to induce the anufacturer to only purchae the lowquality coponent A. Siilarly when the upplier offer a ufficiently high unit wholeale price w A theanufacturer will ue trategy. When the unit wholeale price i high enough (w A >w A0 or w A >w A0 ) the anufacturer get a higher profit fro uing a coon coponent. Fro Proof of Propoition 4 we know that the lope of the line w A =(w A B 1 )/A 1 i the larget and that of the line w A =w A +Δw i the allet. 4.. The Unit Wholeale Price of the Supplier. The anufacturer coonality trategy depend on the unit wholeale price. In thi ubection we focu on the unit wholeale price deciion. Conidering the reaction function of the anufacturer the profit function in different region (I II and III) can be expreed a follow: π I (w Aw A ) ={q (w A c A )(q q c B w A +w A ) +(w A c A )[(c B +w A )q w A q ]} III = {(w A w A ) w A < in { (w A B 1 ) A 1 w A }} [q (q q )] 1 (15)

6 6 Matheatical Proble in Engineering π II π III (w A )= [ w A +(c A +q )w A c A q ] (q ) (16) (w A )= [ w A +(c A +q )w A c A q ] (q ). (17) The upplier will axiize her profit acro all feaible region. Fro (15) (17) we can derive the following. Propoition 5. (i) The upplier ell two kind of coponent A to the anufacturer if π I (wi A wi A ) ax {πii with the SPNE unit wholeale price (w I A wi A )= { where w I A =(q (w I A1 wi A1 ) { {(w A0 w A0 ) (w II A )πiii (w III A )} (18) if (wi A1 wi A1 ) I (w I A wi A ) if wi A1 +Δw w I A1 w I A1 < (wi A1 B 1) A 1 w I A <w A0 (w I A3 wi A3 ) if wi A1 +Δw <w I A1 w I A1 (wi A1 B 1) A 1 w I A3 <w A0 otherwie ) w I A1 =wi A3 = (c A +q w I A1 = (q +c A c B ) w I A3 =wi A3 +Δw w A0 = (B 1 +A 1 Δw ) (1 A 1 ) w A0 = (Δw +B 1 ) (1 A 1 ) w I A =A 1w I A +B 1 (B 1 +c A c A c B +q q ) +A 1 ( B 1 q ((A 1 q +c Aq +q A 1 q )) 1 ; c Aq +c B q )) (19) (0) (1) (ii) if π II (wii A ) ax{πi (wi A wi A ) πiii (w III A )} theupplier only offer low-quality coponent A with the SPNE unit wholeale price w II A =(c A +q )/; theunitwholealeprice of the high-quality one would be any value that atifie w II A > ax{w II A +Δw q /q wii A +(q q q )}; (iii) if π III (w III A ) ax{πi (wi A wi A ) πii (wii A )} theupplier only offer high-quality coponent A with the SPNE unit wholeale price w III A = (c A +q )/; theunitwholeale price of the low-quality one hould atify w III ax{ q /q wiii A ( q q q ) B 1 +A 1 w III A > A }. Fro Propoition 5 we know that if the upplier provide two quality level of coponent A he deterine the unit wholeale price (w I A1 wi A1 ) if (wi A1 wi A1 ) I.Ifthe upplier can get a higher profit fro only providing one coponent he will try to induce the anufacturer to ue a coon coponent. The unit wholeale price of a coon coponent increae with it unit production cot and the quality level of the low-end product. If the quality of coponent B increae the anufacturer can get a higher unit profit o the upplier can increae the unit wholeale price to gain a larger unit profit. We copare the equilibriu outcoe when the anufacturer ue coon coponent which i uarized in Corollary 6. Corollary 6. (i) w III A D if c A/c A > q >wii A ;(ii)d +D <D + /q ;(iii)theuppliercangaina higher profit under trategy than under trategy only if q (q c A ) q (q c A). Fro Corollary 6weknowthattheunitwholealeprice for the coon high-quality coponent i higher than that for the coon low-quality one. When uing a coon coponent the deand of high-end product under trategie and are identical uch that the total deand depend on the low-end one. The retail price of the lowend product increae with the unit production cot of the low-quality coponent A uch that ore conuer do not buy any product. On the other hand a higher product quality for the low-end product attract ore conuer. A a reult the total deand under trategy i higher than that under trategy iftherelativeunitproductioncotoflow-quality coponent A i ufficiently low. Since the optial wholeale price of the upplier under dedicated coponent are coplex we illutrate the onotonicity of the unit wholeale price by eploying nuerical exaple. Figure 3 7 how how the quality and the unit production cot ay affect the optial wholeale price and the coonality trategy. ere the default value of the paraeter are ued a: c A =1.5 c A =.5 c B = q A = 0 q A =5 q B =1 q B =18 ω A =0.6andω B = 0.4. Fro Figure 3 and 4 we know that the upplier profit under trategy i higher than that under trategy which iplie that the upplier ha no incentive to offer a unit wholeale price to induce trategy. Intuitivelythe lowquality coponent A ha a lower cot which i beneficial to

7 Matheatical Proble in Engineering π III ( wa III ) π I ( wi A wi A ) w A Profit π II ( wii A ) q A Wholeale price w A 1.6 Figure 3: The upplier profit veru the quality of coponent A in egent q B =18 q B =0 c A Figure 6: The unit wholeale price veru q B and c A π III ( wa III ) Profit π I ( wi A wi A ) c A π II ( wii A ) Figure 4: The upplier profit veru the unit production cot of high-quality coponent A. Wholeale price wa wa q B Wholeale price w A c B = c B =.3 w A q A Figure 5: The unit wholeale price veru q A and c B. the upplier. On the other hand the quality of the high-end product under trategy i lower than that under trategy which i harful to the upplier due to a lower arket deand. Moreover uing trategy decreae product differentiation which increae the price copetition. A a reultrelativetotrategy the negative effect of uing trategy on the upplier outweigh it poitive effect. The upplier will encourage the anufacturer to ue trategy or. c A = 1.5 c A = Figure 7: The unit wholeale price veru q B and c A. Figure 3 iplie that the upplier will induce trategy if the quality of the low-quality coponent A i ufficiently low;otherwietheupplierwillinducetrategy. Intuitively under trategy a higher quality of coponent A in egent increae the upplier profit becaue it reduce the quality diadvantage. Moreover product differentiation under trategy i larger than under trategy. A a reult the upplier profit under trategy i higher if the quality of coponent A in egent i ufficiently high. Figure 4 iplie that the upplier ha an incentive to induce trategy if the unit production cot of coponent A in egent i ufficiently low. Intuitively the negative effect of the unit production cot c A on the upplier under trategy i larger than that under trategy uch that the upplier can obtain a higher profit under trategy if it i very all. Moreover a pointed out earlier the upplier prefer trategy to trategy. Figure 5 7 illutratetheipactofthequalityandunit production cot on the optial wholeale price. In Figure 5 the firt interval atche trategy while thefollowing one relate to trategy. Figure 5 iplie that when the quality

8 8 Matheatical Proble in Engineering of coponent A in egent i ufficiently high the upplier will trategically increae the unit wholeale price of coponent A in egent and decreae that in egent which induce the anufacturer to chooe trategy. In addition we find that the unit wholeale price doe not increae with the unit production cot of coponent B. In Figure 6 the two interval atch trategie and repectively. The upplier will be reluctant to induce the anufacturer to ue when the unit production cot of coponent A in egent i ufficiently high. When the unit production cot increae the upplier charge a higher wholeale price for high-quality coponent A. In order to encourage the anufacturer to ue trategy the upplier alo raie the unit wholeale price of the low-quality coponent. The firt interval relate to trategy while the econd one correpond to trategy in Figure 7. When the quality of coponent B in egent i high enough the upplier will induce the anufacturer to ue trategy ;the upplier trategically decreae the unit wholeale price for the high-quality coponent A to induce trategy ; however whether to increae the unit wholeale price for the lowquality coponent A depend on it unit production cot. 5. Equilibriu Outcoe under Coonality Strategy Firt (CSF) Scenario Under CSF cenario the upplier et the unit wholeale price after the product line configuration i deigned [8]. Specifically the tie equence of the gae i a follow. (i) The anufacturer chooe coonality trategy: or. (ii) Oberving coonality trategy the upplier deterine the unit wholeale price. (iii) Oberving the unit wholeale price the anufacturer et the retail price. Siilar to Propoition 5 wecanhowthatthespne deciion are the ae a thoe under WPF cenario if the anufacturer ue a coon coponent A;thatitheunit and that under trategy i w III A. Under trategy theunitwholealeprice are (w I A1 wi A1 ).Notethatiftheanufactureruetrategy the upplier charge the ae wholeale price a that under trategy ; if the anufacturer ue trategy he will pay ore for the high-quality coponent A. Corollary 7 give out the condition under which the equilibriu deciion under WPF and CSF cenario are identical. wholeale price under trategy i w II A Corollary 7. If c A [q q c B Δw +c A (q + c A c B )A 1 +B 1 q ]productlinedeignandpricing deciion under WPF and CSF cenario are identical. Corollary 7 iplie that the tie equence of deciion doe not affect the equilibriu deciion if the unit production cot for the low-quality coponent A i ediu. The ain caue i that within the range the upplier can optiize her wholeale price under WPF cenario becaue the anufacturer ha an incentive to chooe trategy. Thu thetieequenceofdeciiondoenotaffectthepricing deciion under trategy. Moreover we know that the tie equence doe not change the pricing deciion under the other trategie. A a conequence the pricing deciion and coonality trategie under two cenario are identical. owever if the unit production cot c A i either too high or low the tie equence affect the pricing deciion a well a coonality trategy. Under CSF cenario the anufacturer profit are π =(q π π [4 (q c A (q c B) +q (16q (q q )) 1 =(q [4c B +(q c A (q (16q =(q [(q c A)(q q )) q (8c B 7q +3q )] ) (4q c A )(q q )) (q q )) 1 8c B 3q )] c B) +q (c A +c B q ) +c A (c A +c B q )] c A (c A q (16q (q q )) 1. +c B q c A q )) () ere the upercript repreent CSF cenario. Define Δπ 1 =π π Δπ =π π and Δπ 3 = π π.whenbothδπ 1 and Δπ are negative the anufacturer will ue trategy. Propoition 8 uarize the coonality trategy. Propoition 8. Under CSF cenario we have the following. (i) The anufacturer chooe trategy for c A [c A1 in{c A1+ c A3 }]. (ii)theanufacturerchooetrategy if c A± exit and c A [ax{c A c A3 } c A+ ]. (iii) Otherwie the anufacturer chooe trategy where c A1± =c A +c B q +q ±(q q c B) (q q ) (q q )

9 Matheatical Proble in Engineering 9 c A± = B ± B +4A q c A3 =q (q q q q c A ) q (q q ) (q q ) q (3) π π π A =q {q [c B (3q 6c B (q +3(q c A c B q +c A (q +q 4q ) q q )(q ) (q (q q ) q )(q q ) q )] q q )} Figure 8: The upplier profit veru the unit production cot of the low-quality coponent A c A B =q q (c A +c B )(q q ). (4) π π Propoition 8 identifie the condition under which the anufacturer chooe a coonality trategy. Fro Propoition 8 we can ee that trategy i poible under CSF cenario. Thi reult i inconitent with that under WPF cenario in a tatitical ene (ee Figure 3 and 4) which iplie that the tie equence of deciion affect the exitence of trategy. Specifically trategy i ore prevalent under CSF cenario. To better undertand the effect of the tie equence of deciion on the player profit we depict Figure 8 and 9 where the default value are the ae a in Figure 3 7. Fro Figure 8 and 9 we ee that the upplier profit under WPF cenario i higher than that under CSF cenario; however the anufacturer profit under CSF cenario i higher. That i there exit a firt-over advantage for the two player. Specifically under WPF cenario the upplier can trategically offer a unit wholeale price to induce the coonality trategy that axiize her profit. Under CSF cenario the anufacturer can ue the retail price (o order quantity) to avoid the upplier holdup behavior and chooe the coonality trategy to axiize hi profit. We exaine the other default value of paraeter and find that the ain inight i unchanged. 6. Concluion Mot paper on coonality trategy in product line deign only conider anufacturer level. In reality the upplier ay take the anufacturer behavior into conideration to decide the unit wholeale price. The vertical interaction between the upplier and the anufacturer play an iportant role in aking coonality trategy for the anufacturer. In thi paper we develop two gae odel to invetigate how the vertical interaction affect coonality trategy and tudy how the upplier trategically decide the unit wholeale π Figure 9: The anufacturer profit veru the unit production cot of low-quality coponent A. price. ere the anufacturer provide low-end product and high-end product following quality egentation. Under WPF cenario the upplier firt decide the unit wholeale price and then the anufacturer deterine coonality trategy. We explore how the upplier trategically offer a unit wholeale price to induce the anufacturer to chooe the optial coonality trategy for the upplier. We give the wholeale price range of each coonality trategy and find that (i) the total deand of uing coon low-quality coponent A ay be higher than that of uing coon high-quality coponent A; (ii) the upplier can achieve a higher profit under trategy than under trategy becaue the price copetition i weaker; (iii) coonality equilibriu i either trategy or trategy ; (iv)when the quality of coponent A in egent and the unit productioncotofthehigh-qualitycoponenta are ufficiently low the upplier will trategically decreae the unit wholeale price of the high-quality coponent A and increae that of thelow-qualityonetoinducetrategy. Under CSF cenario the anufacturer firt decide coonality trategy and then the upplier offer the unit wholeale price. ere the coonality trategy i regarded a a trategy tool of the anufacturer. We give the unit production cot range of each coonality trategy and find that when the unit production cot of the low-quality coponent A i ediu the equilibriu outcoe i the ae a that under WPF cenario. In addition we find that a c A

10 10 Matheatical Proble in Engineering firt-over advantage exit for the two player; that i the upplier prefer WPF cenario while the anufacturer prefer CSF cenario. Thi paper doe not conider the effect of coonality on arginal cot. Greater coonality can reduce arginal cot [9]. One can extend to invetigate how the cot reduction effectofcoonalityaffectthecoonalitytrategyina upply chain. We aue that the anufacturer purchae two type of coponent A frotheaeupplier.soetie high-quality and low-quality coponent are provided by different upplier where the upplier play a price gae. In thi cae the coonality trategy ay be intereting. Appendix Proof of Propoition 1. The eian atrix of π (θ 1θ w A w A ) over (θ 1 θ ) i ( (q q ) 0 0 q ) whichinegatively definite becaue of q > q.solvingthefirt- order condition π (θ 1θ w A w A )/ θ 1 = 0 and π (θ 1θ w A w A )/ θ =0for (θ 1 θ )wehave 1 (w A w A )= c B +q θ (w A w A )= q θ q +w A w A (q q ) +w A q. (A.1) Inerting θ 1 and θ into D D andp =q θ 1 + q (θ θ 1 ) p = θ q we obtain the deand and retail price of the anufacturer. Siilarly we can obtain the reaction function when the anufacturer ue a coon coponent. Proof of ea. Fro D (w Aw A )>0and D w A )>0wehave (q q ) (w A w A ) >c B > q Siilarly we have the following: q q >c B > (q q q q >c B > (q q )w A q q w A q. )w A w A. (w A (A.) (A.3) By conidering (A.) and (A.3) togetherwe can have theunit wholeale price interval. Proof of ea 3. Differentiating π (w Aw A ) repect to w A wehave π (w Aw A ) w A = c B q +q +w A w A (q q ) = D (w Aw A )<0 and π (w Aw A )/ w A =1/[(q Siilarly uing ea and q how the other reult. Proof of Propoition 4. Fro q that F 1 (Δw) =((q q (q q +[(q (4(q )Δw +[c B (q )Δw q )(q q q q with (A.4) )] > 0. >c B wecan =q ()and(4)itfollow q )(q q )) 1 q )] ) c B ](q q )) (A.5) where Δw = w A w A. By differentiating F 1 (Δw) with repect to Δw twice we have F 1 (Δw)/ Δw =1/[(q q )] > 0. SolvingF 1(Δw) = 0 wecanobtaintwopoitive olution Δw ± where Δw ± =((q ±(q q c B )(q q ) q (q q ) 1. c B ) (q q )(q q )) (A.6) Solving the firt-order condition F 1 (Δw)/ Δw = 0 for ΔwwehaveΔw 1 =q q c B.Froea weknow that Δw < Δw 1.SoF 1 (Δw) 0 i equivalent to Δw Δw. Uing q =q weobtainf 0 =F 4q q (q )(q )where q q F 0 (w A w A ) =q q (q q )w A (q (c B +w A )w A +c B q q +c B q w A +(q (q q )(q q (q q ) +q q )q q )q w A q )q (A.7)

11 Matheatical Proble in Engineering 11 which i a convex function of w A. F 0i equivalent to F 0 0.TherearetwoolutionforF 0 (w A w A ) = 0 w A±.Fro F 0 (w A w A )/ w A =0wecanhavew A1 = q (c B+w A )/q.froea weeew A <q (c B+ w A )/q. Further it follow that F (w A w A ) 0 i equivalent to w A w A =A 1 w A +B 1.Siilarlyfro q q >c B q =q q +q andea it follow that F 3 (w A w A ) 0i equivalent to w A w A where w A i given by Propoition 4. Uing q q =q q q q =q q q q =q =q (A.8) we can find that w A w A =Δw w A =w A andw A = w A interect in one point (w A0 w A0 ).Froq >q and q > q weeea 1 < 1.Nowwehowthat 1/A 1 > q /q (q q )(q atified becaue of q q + (q <(q +q >1 which i equivalent to q q + ) < q. Thi inequality i q q )(q )+(q q ) q )+(q q )=q. (A.9) Thu we can differentiate the feaible region for the unit wholealepriceintothethreeregion:ι II and III. Further we can coplete the proof of Propoition 4. Proof of Propoition 5. Fro (15)itfollowthatπ I (w Aw A ) i concave over (w A w A ) becaue the eian atrix i negatively definite. Solving the firt-order condition π I / w A = 0 and π I / w A = 0weobtainw I A1 = (c A +q )/ w I A1 =(q +c A c B )/ when we ignore the unit wholeale price contraint. Solving w A =(w A B 1 )/A 1 and w A =w A +Δw we obtain w A0 and w A0 givenbypropoition 5. Fro Propoition 4weknowthatonlywhen(w I A1 wi A1 ) Ithe anufacturer will buy two quality level for coponent A.If w I A1 +Δw w I A1 and wi A1 <(wi A1 B 1)/A 1 theupplier ha equilibriu wholeale price at the boundary w A = A 1 w A +B 1 becauef (w A w A ) decreae with w A. Inerting w A = A 1 w A +B 1 into π I (w Aw A )wehave π I (w A) which i a concave of w A.Byolvingthefirt-order condition we have w I A.IfwI A <w A0theunitwholeale price are (A 1 w I A +B 1w I A ). Siilarly we can obtain the other olution; thu in region I the unit wholeale price for the upplier are ) given by Propoition 5. (w I A wi A Fro (16) and (17) itfollowthatπ II (w A) i a concave function of w A while π III (w A ) i a concave function of w A. So the optial wholeale price in the two region are w II A = (c A +q )/ and wiii A =(c A +q )/. Furtherorewe can have π III (w III A )=(q c A ) (8q ) c A) π II (w II A )=(q (8q ). (A.10) Proof of Corollary 6. Part (i) i obviou. Part (ii) i a follow: by ubtituting w II A and wiii A into D (w A) and D (w A) we can obtain D = (c B q (q q )(c A + q ))/[4q (q q )] and D = (c B q (q q )(c A+q ))/[4q (q q )].Froq q =q q it follow that D < D i equivalent to c A /c A > q /q.uingd =D wecancopletetheproof. Fro (A.10) we can how part (iii). Proof of Corollary 7. Fro Propoition 5 wecanhavethat w I A1 +Δw w I A1 i equivalent to (q q c B) Δw + c A c A while w I A1 (w I A1 B 1)/A 1 i equal to (c A +q c B)A 1 +B 1 q c A.Sowehave c A [(q q c B ) Δw +c A (c A +q c B)A 1 +B 1 q ] if (w I A1 wi A1 ) I. (A.11) Fro Propoition 5 we ee that the SPNE deciion under two cenario are identical if the anufacturer ue coon coponent A. We can coplete the proof. Proof of Propoition 8. Uing q obtain Δπ 1 = c B (4q q 3q ) 16 (q q )(q q ) =q and q +((c A c A ) (q q c A +c A ) c B (c A c A +3q 3q )) (16 (q q )) 1 + 4q q 16 3q =q we (A.1)

12 1 Matheatical Proble in Engineering which i a concave function of c A becaue of q >q c B >0.SolvingΔπ 1 =0for c A wehave q q c A1± =c A +c B q +q ±(q q c B) (q q ) (q q ). Thu we ee Δπ 1 0for c A [c A1 c A1+ ]. Uing q =q and q =q weobtain Δπ = A +B c A q 16q q (q q q (q )(q q )c A which i a concave function of c A becaue of q Solving Δπ =0for c A weobtain c A± = B ± B +4A q q q q (q q.note (A.13) q ) (A.14) >q. (q q ) ). (A.15) Thu we have Δπ 0 when c A± exit and c A [c A c A+ ];otherwieδπ <0. Uing q =q q +q weobtain Δπ 3 =(q [c A c Aq +q +q q c A q c A ) (16q q ) 1 (q q )] (A.16) which i an increaing and concave function of c A becaue of w I A1 >c A.SolvingΔπ 3 =0for c A weobtainc A3 =q (q c A ) q /q. Further we ee that Δπ 3 0 i equivalent to c A c A3. Conflict of Interet The author declare that there i no conflict of interet regarding the publication of thi paper. Acknowledgent Thi reearch wa upported in part by (i) China National Fund for Ditinguihed Young Scientit under Grant and (ii) the National Natural Science Foundation of China under Grant Reference [1] P. Deai S. Kekre S. Radhakrihnan and K. Srinivaan Product differentiation and coonality in deign: balancing revenue and cot driver Manageent Sciencevol.47 no.1pp [] A. K. Chakravarty and N. Balakrihnan Achieving product variety through optial choice of odule variation IIE Tranactionvol.33no.7pp [3] U. W. Thoneann and M.. Brandeau Optial coonality in coponent deign Operation Reearch vol.58no.1pp [4] M. Fiher K. Rada and K. Ulrich Coponent haring in the anageent of product variety: a tudy of autootive braking yte Manageent Science vol. 45 no. 3 pp [5] F. Berntein A. G. Kökand.Xie Theroleofcoponent coonality in product aortent deciion Manufacturing & Service Operation Manageent vol.13no.pp [6] P. C. Verhoef K.. Pauwel and M. A. Tuk Aeing conequence of coponent haring acro brand in the vertical product line in the autootive arket Product Innovation Manageentvol.9no.4pp [7] D. P. Rutenberg Deign coonality to reduce ulti-ite inventory: optial depth of a product line Operation Reearchvol.19no.pp [8] K.KiD.ChhajedandY.iu Cancoonalityrelievecannibalization in product line deign? Marketing Sciencevol.3 no.3pp [9]. S. eee and J. M. Swainathan Product line deign with coponent coonality and cot-reduction effort Manufacturing & Service Operation Manageentvol.8no.pp [10] R. Subraanian M. E. Ferguon and. Beril Toktay Reanufacturing and the coponent coonality deciion Production and Operation Manageentvol.no.1pp [11] E. abro The cot effect of coponent coonality: a literature review through a anageent-accounting len Manufacturing & Service Operation Manageentvol.6no.4 pp [1] S. K. Fixon Modularity and coonality reearch: pat developent and future opportunitie Concurrent Engineering Reearch and Application vol. 15 no. pp [13] P. acourbe A odel of product line deign and introduction equence with reervation utility European Operational Reearchvol.0no.pp [14] G. Van Ryzin and S. Mahajan On the relationhip between inventory cot and variety benefit in retail aortent Manageent Science vol. 45 no. 11 pp [15] U. W. Thoneann and J. R. Bradley The effect of product variety on upply-chain perforance European Operational Reearchvol.143no.3pp [16] T. Xiao and T. Xu Pricing and product line trategy in a upply chainwithrik-avereplayer International Production Econoicvol.156pp [17] Y. C. iu and T.. Cui The length of product line in ditribution channel Marketing Science vol. 9 no. 3 pp [18] S. Rajagopalan and N. Xia Product variety pricing and differentiation in a upply chain European Operational Reearchvol.17no.1pp [19]T.XiaoT.M.ChoiandT.C.Cheng Productvarietyand channel tructure trategy for a retailer-stackelberg upply chain European Operational Reearchvol.33no.1 pp

13 Matheatical Proble in Engineering 13 [0] M. Mua and S. Roen Monopoly and product quality Econoic Theoryvol.18no.pp [1] K. S. Moorthy Market egentation elf-election and product line deign Marketing Science vol. 3 no. 4 pp [] J. M. Villa-Boa Product line deign for a ditribution channel Marketing Science vol. 17 no. pp [3] V. Krihnan and W. Zhu Deigning a faily of developentintenive product Manageent Sciencevol.5no.6pp [4] S. Neteine and T. A. Taylor Product line deign and production technology Marketing Science vol. 6 no. 1 pp [5]S.ChayetP.KouveliandD.Z.Yu Productvarietyand capacity invetent in congeted production yte Manufacturing & Service Operation Manageentvol.13no.3pp [6] D. Z. Yu Product variety and vertical differentiation in a batch production yte International Production Econoicvol.138no.pp [7] T. Xiao and X. Qi Strategic wholeale pricing in a upply chain with a potential entrant European Operational Reearchvol.0no.pp [8] Y. iu and R. K. Tyagi The benefit of copetitive upward channel decentralization Manageent Science vol. 57 no. 4 pp [9] K. Ki and D. Chhajed Coonality in product deign: cot aving valuation change and cannibalization European Journal of Operational Reearchvol.15no.3pp

14 Advance in Operation Reearch indawi Publihing Corporation Advance in Deciion Science indawi Publihing Corporation Applied Matheatic Algebra indawi Publihing Corporation indawi Publihing Corporation Probability and Statitic The Scientific World Journal indawi Publihing Corporation indawi Publihing Corporation International Differential Equation indawi Publihing Corporation Subit your anucript at International Advance in Cobinatoric indawi Publihing Corporation Matheatical Phyic indawi Publihing Corporation Coplex Analyi indawi Publihing Corporation International Matheatic and Matheatical Science Matheatical Proble in Engineering Matheatic indawi Publihing Corporation indawi Publihing Corporation indawi Publihing Corporation Dicrete Matheatic indawi Publihing Corporation Dicrete Dynaic in Nature and Society Function Space indawi Publihing Corporation Abtract and Applied Analyi indawi Publihing Corporation indawi Publihing Corporation International Stochatic Analyi Optiization indawi Publihing Corporation indawi Publihing Corporation

Research Article An Extension of Cross Redundancy of Interval Scale Outputs and Inputs in DEA

Research Article An Extension of Cross Redundancy of Interval Scale Outputs and Inputs in DEA Hindawi Publihing Corporation pplied Matheatic Volue 2013, rticle ID 658635, 7 page http://dx.doi.org/10.1155/2013/658635 Reearch rticle n Extenion of Cro Redundancy of Interval Scale Output and Input

More information

Coordinating Leader-Follower Supply Chain with Sustainable Green Technology Innovation on Their Fairness Concerns

Coordinating Leader-Follower Supply Chain with Sustainable Green Technology Innovation on Their Fairness Concerns International Journal of Environental Reearch and Public Health Article Coordinating Leader-Follower Supply Chain with Sutainable Green Technology Innovation on Their Fairne Concern Biheng Du 1,, *, Qing

More information

THE BICYCLE RACE ALBERT SCHUELLER

THE BICYCLE RACE ALBERT SCHUELLER THE BICYCLE RACE ALBERT SCHUELLER. INTRODUCTION We will conider the ituation of a cyclit paing a refrehent tation in a bicycle race and the relative poition of the cyclit and her chaing upport car. The

More information

Investment decision for supply chain resilience based on Evolutionary Game theory

Investment decision for supply chain resilience based on Evolutionary Game theory Invetent deciion for upply chain reilience baed on Evolutionary Gae theory Xiaowei Ji(jixw@hut.edu.cn), Haijun Wang Manageent School Huazhong Univerity of Science and Technology Wuhan, Hubei, 4374, China

More information

Scale Efficiency in DEA and DEA-R with Weight Restrictions

Scale Efficiency in DEA and DEA-R with Weight Restrictions Available online at http://ijdea.rbiau.ac.ir Int. J. Data Envelopent Analyi (ISSN 2345-458X) Vol.2, No.2, Year 2014 Article ID IJDEA-00226, 5 page Reearch Article International Journal of Data Envelopent

More information

The Extended Balanced Truncation Algorithm

The Extended Balanced Truncation Algorithm International Journal of Coputing and Optiization Vol. 3, 2016, no. 1, 71-82 HIKARI Ltd, www.-hikari.co http://dx.doi.org/10.12988/ijco.2016.635 The Extended Balanced Truncation Algorith Cong Huu Nguyen

More information

Cooperative Innovation in a Supply Chain with Different Market Power Structures

Cooperative Innovation in a Supply Chain with Different Market Power Structures Aerican Journal of Operation Reearch, 16, 6, 173-1 Publihed Online March 16 in SciRe http://wwwcirporg/journal/ajor http://ddoiorg/136/ajor166 Cooperative Innovation in a Supply Chain with ifferent Market

More information

An inventory model with temporary price discount when lead time links to order quantity

An inventory model with temporary price discount when lead time links to order quantity 80 Journal of Scientific & Indutrial Reearch J SCI IN RES VOL 69 MARCH 00 Vol. 69 March 00 pp. 80-87 An inventory model with temporary price dicount when lead time link to order quantity Chih-Te Yang Liang-Yuh

More information

Research Article Numerical and Analytical Study for Fourth-Order Integro-Differential Equations Using a Pseudospectral Method

Research Article Numerical and Analytical Study for Fourth-Order Integro-Differential Equations Using a Pseudospectral Method Matheatical Proble in Engineering Volue 213, Article ID 43473, 7 page http://d.doi.org/1.11/213/43473 Reearch Article Nuerical and Analytical Study for Fourth-Order Integro-Differential Equation Uing a

More information

On the Use of High-Order Moment Matching to Approximate the Generalized-K Distribution by a Gamma Distribution

On the Use of High-Order Moment Matching to Approximate the Generalized-K Distribution by a Gamma Distribution On the Ue of High-Order Moent Matching to Approxiate the Generalized- Ditribution by a Gaa Ditribution Saad Al-Ahadi Departent of Syte & Coputer Engineering Carleton Univerity Ottawa Canada aahadi@ce.carleton.ca

More information

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations International Scholarly Reearch Network ISRN Mathematical Analyi Volume 20, Article ID 85203, 9 page doi:0.502/20/85203 Reearch Article Exitence for Nonocillatory Solution of Higher-Order Nonlinear Differential

More information

Problem Set 8 Solutions

Problem Set 8 Solutions Deign and Analyi of Algorithm April 29, 2015 Maachuett Intitute of Technology 6.046J/18.410J Prof. Erik Demaine, Srini Devada, and Nancy Lynch Problem Set 8 Solution Problem Set 8 Solution Thi problem

More information

Topic 7 Fuzzy expert systems: Fuzzy inference

Topic 7 Fuzzy expert systems: Fuzzy inference Topic 7 Fuzzy expert yte: Fuzzy inference adani fuzzy inference ugeno fuzzy inference Cae tudy uary Fuzzy inference The ot coonly ued fuzzy inference technique i the o-called adani ethod. In 975, Profeor

More information

Image Denoising Based on Non-Local Low-Rank Dictionary Learning

Image Denoising Based on Non-Local Low-Rank Dictionary Learning Advanced cience and Technology Letter Vol.11 (AT 16) pp.85-89 http://dx.doi.org/1.1457/atl.16. Iage Denoiing Baed on Non-Local Low-Rank Dictionary Learning Zhang Bo 1 1 Electronic and Inforation Engineering

More information

Ranking DEA Efficient Units with the Most Compromising Common Weights

Ranking DEA Efficient Units with the Most Compromising Common Weights The Sixth International Sypoiu on Operation Reearch and It Application ISORA 06 Xiniang, China, Augut 8 12, 2006 Copyright 2006 ORSC & APORC pp. 219 234 Ranking DEA Efficient Unit with the Mot Coproiing

More information

Investigation of application of extractive distillation method in chloroform manufacture

Investigation of application of extractive distillation method in chloroform manufacture Invetigation of application of etractive ditillation ethod in chlorofor anufacture Proceeding of uropean Congre of Cheical ngineering (CC-6) Copenhagen, 16-20 Septeber 2007 Invetigation of application

More information

1-D SEDIMENT NUMERICAL MODEL AND ITS APPLICATION. Weimin Wu 1 and Guolu Yang 2

1-D SEDIMENT NUMERICAL MODEL AND ITS APPLICATION. Weimin Wu 1 and Guolu Yang 2 U-CHINA WORKHOP ON ADVANCED COMPUTATIONAL MODELLING IN HYDROCIENCE & ENGINEERING epteber 9-, Oxford, Miiippi, UA -D EDIMENT NUMERICAL MODEL AND IT APPLICATION Weiin Wu and Guolu Yang ABTRACT A one dienional

More information

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004 18.997 Topic in Combinatorial Optimization April 29th, 2004 Lecture 21 Lecturer: Michel X. Goeman Scribe: Mohammad Mahdian 1 The Lovaz plitting-off lemma Lovaz plitting-off lemma tate the following. Theorem

More information

An Exact Solution for the Deflection of a Clamped Rectangular Plate under Uniform Load

An Exact Solution for the Deflection of a Clamped Rectangular Plate under Uniform Load Applied Matheatical Science, Vol. 1, 007, no. 3, 19-137 An Exact Solution for the Deflection of a Claped Rectangular Plate under Unifor Load C.E. İrak and İ. Gerdeeli Itanbul Technical Univerity Faculty

More information

Lecture 2 DATA ENVELOPMENT ANALYSIS - II

Lecture 2 DATA ENVELOPMENT ANALYSIS - II Lecture DATA ENVELOPMENT ANALYSIS - II Learning objective To eplain Data Envelopent Anali for ultiple input and ultiple output cae in the for of linear prograing .5 DEA: Multiple input, ultiple output

More information

Clustering Methods without Given Number of Clusters

Clustering Methods without Given Number of Clusters Clutering Method without Given Number of Cluter Peng Xu, Fei Liu Introduction A we now, mean method i a very effective algorithm of clutering. It mot powerful feature i the calability and implicity. However,

More information

Lecture 2 Phys 798S Spring 2016 Steven Anlage. The heart and soul of superconductivity is the Meissner Effect. This feature uniquely distinguishes

Lecture 2 Phys 798S Spring 2016 Steven Anlage. The heart and soul of superconductivity is the Meissner Effect. This feature uniquely distinguishes ecture Phy 798S Spring 6 Steven Anlage The heart and oul of uperconductivity i the Meiner Effect. Thi feature uniquely ditinguihe uperconductivity fro any other tate of atter. Here we dicu oe iple phenoenological

More information

Reputation and Multiproduct-firm Behavior: Product line and Price Rivalry Among Retailers

Reputation and Multiproduct-firm Behavior: Product line and Price Rivalry Among Retailers Reputation and Multiproduct-firm Behavior: Product line and Price Rivalry Among Retailer Shaoyan Sun and Henry An Department of Reource Economic and Environmental Sociology, Univerity of Alberta, Canada

More information

Conservation of Energy

Conservation of Energy Add Iportant Conervation of Energy Page: 340 Note/Cue Here NGSS Standard: HS-PS3- Conervation of Energy MA Curriculu Fraework (006):.,.,.3 AP Phyic Learning Objective: 3.E.., 3.E.., 3.E..3, 3.E..4, 4.C..,

More information

4 Conservation of Momentum

4 Conservation of Momentum hapter 4 oneration of oentu 4 oneration of oentu A coon itake inoling coneration of oentu crop up in the cae of totally inelatic colliion of two object, the kind of colliion in which the two colliding

More information

Research Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation

Research Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation Hindawi Function Space Volume 2017, Article ID 7916730, 8 page http://doi.org/10.1155/2017/7916730 Reearch Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation Huahui Zhan 1 and Bifen Xu

More information

s s 1 s = m s 2 = 0; Δt = 1.75s; a =? mi hr

s s 1 s = m s 2 = 0; Δt = 1.75s; a =? mi hr Flipping Phyic Lecture Note: Introduction to Acceleration with Priu Brake Slaing Exaple Proble a Δv a Δv v f v i & a t f t i Acceleration: & flip the guy and ultiply! Acceleration, jut like Diplaceent

More information

μ + = σ = D 4 σ = D 3 σ = σ = All units in parts (a) and (b) are in V. (1) x chart: Center = μ = 0.75 UCL =

μ + = σ = D 4 σ = D 3 σ = σ = All units in parts (a) and (b) are in V. (1) x chart: Center = μ = 0.75 UCL = Our online Tutor are available 4*7 to provide Help with Proce control ytem Homework/Aignment or a long term Graduate/Undergraduate Proce control ytem Project. Our Tutor being experienced and proficient

More information

Beta Burr XII OR Five Parameter Beta Lomax Distribution: Remarks and Characterizations

Beta Burr XII OR Five Parameter Beta Lomax Distribution: Remarks and Characterizations Marquette Univerity e-publication@marquette Mathematic, Statitic and Computer Science Faculty Reearch and Publication Mathematic, Statitic and Computer Science, Department of 6-1-2014 Beta Burr XII OR

More information

Assignment for Mathematics for Economists Fall 2016

Assignment for Mathematics for Economists Fall 2016 Due date: Mon. Nov. 1. Reading: CSZ, Ch. 5, Ch. 8.1 Aignment for Mathematic for Economit Fall 016 We now turn to finihing our coverage of concavity/convexity. There are two part: Jenen inequality for concave/convex

More information

Improving Efficiency Scores of Inefficient Units. with Restricted Primary Resources

Improving Efficiency Scores of Inefficient Units. with Restricted Primary Resources Applied Matheatical Science, Vol. 3, 2009, no. 52, 2595-2602 Iproving Efficienc Score of Inefficient Unit with Retricted Priar Reource Farhad Hoeinzadeh Lotfi * Departent of Matheatic, Science and Reearch

More information

Codes Correcting Two Deletions

Codes Correcting Two Deletions 1 Code Correcting Two Deletion Ryan Gabry and Frederic Sala Spawar Sytem Center Univerity of California, Lo Angele ryan.gabry@navy.mil fredala@ucla.edu Abtract In thi work, we invetigate the problem of

More information

LOAD AND RESISTANCE FACTOR DESIGN APPROACH FOR FATIGUE OF MARINE STRUCTURES

LOAD AND RESISTANCE FACTOR DESIGN APPROACH FOR FATIGUE OF MARINE STRUCTURES 8 th ACE pecialty Conference on Probabilitic Mechanic and tructural Reliability PMC2000-169 LOAD AND REITANCE FACTOR DEIGN APPROACH FOR FATIGUE OF MARINE TRUCTURE Abtract I.A. Aakkaf, G. ACE, and B.M.

More information

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays

Gain and Phase Margins Based Delay Dependent Stability Analysis of Two- Area LFC System with Communication Delays Gain and Phae Margin Baed Delay Dependent Stability Analyi of Two- Area LFC Sytem with Communication Delay Şahin Sönmez and Saffet Ayaun Department of Electrical Engineering, Niğde Ömer Halidemir Univerity,

More information

Convergence of a Fixed-Point Minimum Error Entropy Algorithm

Convergence of a Fixed-Point Minimum Error Entropy Algorithm Entropy 05, 7, 5549-5560; doi:0.3390/e7085549 Article OPE ACCESS entropy ISS 099-4300 www.dpi.co/journal/entropy Convergence of a Fixed-Point Miniu Error Entropy Algorith Yu Zhang, Badong Chen, *, Xi Liu,

More information

Lecture 7: Testing Distributions

Lecture 7: Testing Distributions CSE 5: Sublinear (and Streaming) Algorithm Spring 014 Lecture 7: Teting Ditribution April 1, 014 Lecturer: Paul Beame Scribe: Paul Beame 1 Teting Uniformity of Ditribution We return today to property teting

More information

Question 1 Equivalent Circuits

Question 1 Equivalent Circuits MAE 40 inear ircuit Fall 2007 Final Intruction ) Thi exam i open book You may ue whatever written material you chooe, including your cla note and textbook You may ue a hand calculator with no communication

More information

Research Article A Method to Construct Generalized Fibonacci Sequences

Research Article A Method to Construct Generalized Fibonacci Sequences Applied Mathematic Volume 6, Article ID 497594, 6 page http://dxdoiorg/55/6/497594 Reearch Article A Method to Contruct Generalized Fibonacci Sequence Adalberto García-Máynez and Adolfo Pimienta Acota

More information

Multi Constrained Optimization model of Supply Chain Based on Intelligent Algorithm Han Juan School of Management Shanghai University

Multi Constrained Optimization model of Supply Chain Based on Intelligent Algorithm Han Juan School of Management Shanghai University 5th nternational Conference on Advanced Material and Computer cience (CAMC 206) Multi Contrained Optimization model of upply Chain Baed on ntelligent Algorithm Han Juan chool of Management hanghai Univerity

More information

STOCHASTIC GENERALIZED TRANSPORTATION PROBLEM WITH DISCRETE DISTRIBUTION OF DEMAND

STOCHASTIC GENERALIZED TRANSPORTATION PROBLEM WITH DISCRETE DISTRIBUTION OF DEMAND OPERATIONS RESEARCH AND DECISIONS No. 4 203 DOI: 0.5277/ord30402 Marcin ANHOLCER STOCHASTIC GENERALIZED TRANSPORTATION PROBLEM WITH DISCRETE DISTRIBUTION OF DEMAND The generalized tranportation problem

More information

Practice Problems Solutions. 1. Frame the Problem - Sketch and label a diagram of the motion. Use the equation for acceleration.

Practice Problems Solutions. 1. Frame the Problem - Sketch and label a diagram of the motion. Use the equation for acceleration. Chapter 3 Motion in a Plane Practice Proble Solution Student Textbook page 80 1. Frae the Proble - Sketch and label a diagra of the otion. 40 v(/) 30 0 10 0 4 t () - The equation of otion apply to the

More information

Fair scheduling in cellular systems in the presence of noncooperative mobiles

Fair scheduling in cellular systems in the presence of noncooperative mobiles 1 Fair cheduling in cellular yte in the preence of noncooperative obile Veeraruna Kavitha +, Eitan Altan R. El-Azouzi + and Rajeh Sundarean Maetro group, INRIA, 2004 Route de Luciole, Sophia Antipoli,

More information

time? How will changes in vertical drop of the course affect race time? How will changes in the distance between turns affect race time?

time? How will changes in vertical drop of the course affect race time? How will changes in the distance between turns affect race time? Unit 1 Leon 1 Invetigation 1 Think About Thi Situation Name: Conider variou port that involve downhill racing. Think about the factor that decreae or increae the time it take to travel from top to bottom.

More information

This is a repository copy of Overcoming the Downs-Thomson Paradox by transit subsidy policies.

This is a repository copy of Overcoming the Downs-Thomson Paradox by transit subsidy policies. Thi i a repoitory copy of Overcoing the Down-Thoon Paradox by tranit ubidy policie. White Roe Reearch Online URL for thi paper: http://eprint.whiteroe.ac.uk/540/ Verion: Accepted Verion Article: Wang,

More information

Technical Appendix: Auxiliary Results and Proofs

Technical Appendix: Auxiliary Results and Proofs A Technical Appendix: Auxiliary Reult and Proof Lemma A. The following propertie hold for q (j) = F r [c + ( ( )) ] de- ned in Lemma. (i) q (j) >, 8 (; ]; (ii) R q (j)d = ( ) q (j) + R q (j)d ; (iii) R

More information

Equilibria on the Day-Ahead Electricity Market

Equilibria on the Day-Ahead Electricity Market Equilibria on the Day-Ahead Electricity Market Margarida Carvalho INESC Porto, Portugal Faculdade de Ciências, Universidade do Porto, Portugal argarida.carvalho@dcc.fc.up.pt João Pedro Pedroso INESC Porto,

More information

The Home Market Effect and Patterns of Trade Between Rich and Poor Countries. Kiminori Matsuyama Northwestern University.

The Home Market Effect and Patterns of Trade Between Rich and Poor Countries. Kiminori Matsuyama Northwestern University. Kiinori Matuyaa, HME and Trade Between Rich & Poor The Hoe Maret Effect and Pattern of Trade Between Rich and Poor Countrie Kiinori Matuyaa Northwetern niverity Deceber 5 Page of 39 Kiinori Matuyaa, HME

More information

Hybrid technique based on chirp effect and phase shifts for spectral Talbot effect in sampled fiber Bragg gratings (FBGs)

Hybrid technique based on chirp effect and phase shifts for spectral Talbot effect in sampled fiber Bragg gratings (FBGs) Optica Applicata, Vol. XLI, No. 1, 011 Hybrid technique baed on chirp effect and phae hift for pectral Talbot effect in apled fiber Bragg grating (FBG) GUO DENG *, WEI PAN Center for Inforation Photonic

More information

Preemptive scheduling on a small number of hierarchical machines

Preemptive scheduling on a small number of hierarchical machines Available online at www.ciencedirect.com Information and Computation 06 (008) 60 619 www.elevier.com/locate/ic Preemptive cheduling on a mall number of hierarchical machine György Dóa a, Leah Eptein b,

More information

Stochastic Perishable Inventory Control in a Service Facility System Maintaining Inventory for Service: Semi Markov Decision Problem

Stochastic Perishable Inventory Control in a Service Facility System Maintaining Inventory for Service: Semi Markov Decision Problem Stochatic Perihable Inventory Control in a Service Facility Sytem Maintaining Inventory for Service: Semi Markov Deciion Problem R.Mugeh 1,S.Krihnakumar 2, and C.Elango 3 1 mugehrengawamy@gmail.com 2 krihmathew@gmail.com

More information

A third sector in the core-periphery model: non-tradable goods

A third sector in the core-periphery model: non-tradable goods Ann Reg Sci 013 50:71 108 DOI 101007/00168-011-0479-8 ORIGINAL PAPER A third ector in the core-periphery odel: non-tradable good Vaco Leite Sofia B S D Catro João Correia-da-Silva Received: Noveber 010

More information

Online Appendix for Corporate Control Activism

Online Appendix for Corporate Control Activism Online Appendix for Corporate Control Activim B Limited veto power and tender offer In thi ection we extend the baeline model by allowing the bidder to make a tender offer directly to target hareholder.

More information

Global Production Decisions with Demand Uncertainty and Tax Cross-Crediting

Global Production Decisions with Demand Uncertainty and Tax Cross-Crediting Submitted to Manufacturing & Service Operation Management manucript (Pleae, provide the manucript number!) Global Production Deciion with Demand Uncertainty and Tax Cro-Crediting The U.S. tax law taxe

More information

Reliability Analysis of Embedded System with Different Modes of Failure Emphasizing Reboot Delay

Reliability Analysis of Embedded System with Different Modes of Failure Emphasizing Reboot Delay International Journal of Applied Science and Engineering 3., 4: 449-47 Reliability Analyi of Embedded Sytem with Different Mode of Failure Emphaizing Reboot Delay Deepak Kumar* and S. B. Singh Department

More information

Research Article Efficiency Bounds for Two-Stage Production Systems

Research Article Efficiency Bounds for Two-Stage Production Systems Matheatical Proble in Engineering Volue 2018, Article I 2917537, 9 page http://doi.org/10.1155/2018/2917537 Reearch Article Efficiency Bound for Two-Stage Production Syte Xiao Shi School of Finance, Shandong

More information

FINANCIAL RISK. CHE 5480 Miguel Bagajewicz. University of Oklahoma School of Chemical Engineering and Materials Science

FINANCIAL RISK. CHE 5480 Miguel Bagajewicz. University of Oklahoma School of Chemical Engineering and Materials Science FINANCIAL RISK CHE 5480 Miguel Bagajewicz Univerity of Oklahoma School of Chemical Engineering and Material Science 1 Scope of Dicuion We will dicu the definition and management of financial rik in in

More information

Practice Midterm #1 Solutions. Physics 6A

Practice Midterm #1 Solutions. Physics 6A Practice Midter # Solution Phyic 6A . You drie your car at a peed of 4 k/ for hour, then low down to k/ for the next k. How far did you drie, and what wa your aerage peed? We can draw a iple diagra with

More information

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat

Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Online Appendix for Managerial Attention and Worker Performance by Marina Halac and Andrea Prat Thi Online Appendix contain the proof of our reult for the undicounted limit dicued in Section 2 of the paper,

More information

Chemistry I Unit 3 Review Guide: Energy and Electrons

Chemistry I Unit 3 Review Guide: Energy and Electrons Cheitry I Unit 3 Review Guide: Energy and Electron Practice Quetion and Proble 1. Energy i the capacity to do work. With reference to thi definition, decribe how you would deontrate that each of the following

More information

Research Article Reliability of Foundation Pile Based on Settlement and a Parameter Sensitivity Analysis

Research Article Reliability of Foundation Pile Based on Settlement and a Parameter Sensitivity Analysis Mathematical Problem in Engineering Volume 2016, Article ID 1659549, 7 page http://dxdoiorg/101155/2016/1659549 Reearch Article Reliability of Foundation Pile Baed on Settlement and a Parameter Senitivity

More information

Unavoidable Cycles in Polynomial-Based Time-Invariant LDPC Convolutional Codes

Unavoidable Cycles in Polynomial-Based Time-Invariant LDPC Convolutional Codes European Wirele, April 7-9,, Vienna, Autria ISBN 978--87-4-9 VE VERLAG GMBH Unavoidable Cycle in Polynomial-Baed Time-Invariant LPC Convolutional Code Hua Zhou and Norbert Goertz Intitute of Telecommunication

More information

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem Chapter 5 Conitency, Zero Stability, and the Dahlquit Equivalence Theorem In Chapter 2 we dicued convergence of numerical method and gave an experimental method for finding the rate of convergence (aka,

More information

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 REVISTA DE LA UNIÓN MATEMÁTICA ARGENTINA Vol. 57, No. 1, 2016, Page 71 83 Publihed online: March 3, 2016 NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 JINHUA QIAN AND YOUNG HO KIM Abtract. We tudy

More information

Optimal Strategies for Utility from Terminal Wealth with General Bid and Ask Prices

Optimal Strategies for Utility from Terminal Wealth with General Bid and Ask Prices http://doi.org/10.1007/00245-018-9550-5 Optimal Strategie for Utility from Terminal Wealth with General Bid and Ak Price Tomaz Rogala 1 Lukaz Stettner 2 The Author 2018 Abtract In the paper we tudy utility

More information

Mechanics. Free rotational oscillations. LD Physics Leaflets P Measuring with a hand-held stop-clock. Oscillations Torsion pendulum

Mechanics. Free rotational oscillations. LD Physics Leaflets P Measuring with a hand-held stop-clock. Oscillations Torsion pendulum Mechanic Ocillation Torion pendulum LD Phyic Leaflet P.5.. Free rotational ocillation Meauring with a hand-held top-clock Object of the experiment g Meauring the amplitude of rotational ocillation a function

More information

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order Computer and Mathematic with Application 64 (2012) 2262 2274 Content lit available at SciVere ScienceDirect Computer and Mathematic with Application journal homepage: wwweleviercom/locate/camwa Sharp algebraic

More information

THE STOCHASTIC SCOUTING PROBLEM. Ana Isabel Barros

THE STOCHASTIC SCOUTING PROBLEM. Ana Isabel Barros THE STOCHASTIC SCOUTING PROBLEM Ana Iabel Barro TNO, P.O. Box 96864, 2509 JG The Hague, The Netherland and Faculty of Military Science, Netherland Defence Academy, P.O. Box 10000, 1780 CA Den Helder, The

More information

Using Latin Hypercube Sampling to Improve Solution for a Supply Chain Network Design Problem

Using Latin Hypercube Sampling to Improve Solution for a Supply Chain Network Design Problem Uing Latin Hypercube Sampling to Improve Solution for a Supply Chain Network Deign Problem Kantapit Kaewuwan Department of Indutrial Engineering, Faculty of Engineering King Mongkut Intitute of Technology

More information

Research Article An Adaptive Regulator for Space Teleoperation System in Task Space

Research Article An Adaptive Regulator for Space Teleoperation System in Task Space Abtract and Applied Analyi, Article ID 586, 7 page http://dx.doi.org/.55/24/586 Reearch Article An Adaptive Regulator for Space Teleoperation Syte in Tak Space Chao Ge, Weiwei Zhang, Hong Wang, and Xiaoyi

More information

Call Centers with a Postponed Callback Offer

Call Centers with a Postponed Callback Offer Call Center with a Potponed Callback Offer Benjamin Legro, Sihan Ding, Rob Van Der Mei, Oualid Jouini To cite thi verion: Benjamin Legro, Sihan Ding, Rob Van Der Mei, Oualid Jouini. Call Center with a

More information

Bogoliubov Transformation in Classical Mechanics

Bogoliubov Transformation in Classical Mechanics Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How

More information

AP CHEM WKST KEY: Atomic Structure Unit Review p. 1

AP CHEM WKST KEY: Atomic Structure Unit Review p. 1 AP CHEM WKST KEY: Atoic Structure Unit Review p. 1 1) a) ΔE = 2.178 x 10 18 J 1 2 nf 1 n 2i = 2.178 x 10 18 1 1 J 2 2 6 2 = 4.840 x 10 19 J b) E = λ hc λ = E hc = (6.626 x 10 34 J )(2.9979 x 10 4.840 x

More information

ONLINE APPENDIX FOR HOUSING BOOMS, MANUFACTURING DECLINE,

ONLINE APPENDIX FOR HOUSING BOOMS, MANUFACTURING DECLINE, ONLINE APPENDIX FOR HOUSING BOOS, ANUFACTURING DECLINE, AND LABOR ARKET OUTCOES Kerwin Kofi Charle Erik Hurt atthew J. Notowidigdo July 2017 A. Background on Propertie of Frechet Ditribution Thi ection

More information

(b) Is the game below solvable by iterated strict dominance? Does it have a unique Nash equilibrium?

(b) Is the game below solvable by iterated strict dominance? Does it have a unique Nash equilibrium? 14.1 Final Exam Anwer all quetion. You have 3 hour in which to complete the exam. 1. (60 Minute 40 Point) Anwer each of the following ubquetion briefly. Pleae how your calculation and provide rough explanation

More information

Social Studies 201 Notes for November 14, 2003

Social Studies 201 Notes for November 14, 2003 1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

V = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr

V = 4 3 πr3. d dt V = d ( 4 dv dt. = 4 3 π d dt r3 dv π 3r2 dv. dt = 4πr 2 dr 0.1 Related Rate In many phyical ituation we have a relationhip between multiple quantitie, and we know the rate at which one of the quantitie i changing. Oftentime we can ue thi relationhip a a convenient

More information

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang

More information

Optimal Coordination of Samples in Business Surveys

Optimal Coordination of Samples in Business Surveys Paper preented at the ICES-III, June 8-, 007, Montreal, Quebec, Canada Optimal Coordination of Sample in Buine Survey enka Mach, Ioana Şchiopu-Kratina, Philip T Rei, Jean-Marc Fillion Statitic Canada New

More information

5.5. Collisions in Two Dimensions: Glancing Collisions. Components of momentum. Mini Investigation

5.5. Collisions in Two Dimensions: Glancing Collisions. Components of momentum. Mini Investigation Colliion in Two Dienion: Glancing Colliion So ar, you have read aout colliion in one dienion. In thi ection, you will exaine colliion in two dienion. In Figure, the player i lining up the hot o that the

More information

A Modified Benders Decomposition Algorithm for Supply Chain Network Design under Risk Consideration

A Modified Benders Decomposition Algorithm for Supply Chain Network Design under Risk Consideration Journal of Quality Engineering and Production Optimization Vol., No., PP. 55-66, 205 A odified Bender Decompoition Algorithm for Supply Chain Network Deign under Rik Conideration Nima Hamta, ohammad Fattahi,

More information

Secretary problems with competing employers

Secretary problems with competing employers Secretary problem with competing employer Nicole Immorlica 1, Robert Kleinberg 2, and Mohammad Mahdian 1 1 Microoft Reearch, One Microoft Way, Redmond, WA. {nickle,mahdian}@microoft.com 2 UC Berkeley Computer

More information

Promise or Requirement? Quality-Based Supplier Selection with Asymmetric Information

Promise or Requirement? Quality-Based Supplier Selection with Asymmetric Information Promie or Requirement? Quality-Baed Supplier Selection with Aymmetric Information Xinghao Yan Hui Zhao Kwei Tang Krannert School of Management, Purdue Univerity 403 W. State Street Wet Lafayette, IN 47907

More information

Research Article Triple Positive Solutions of a Nonlocal Boundary Value Problem for Singular Differential Equations with p-laplacian

Research Article Triple Positive Solutions of a Nonlocal Boundary Value Problem for Singular Differential Equations with p-laplacian Abtract and Applied Analyi Volume 23, Article ID 63672, 7 page http://dx.doi.org/.55/23/63672 Reearch Article Triple Poitive Solution of a Nonlocal Boundary Value Problem for Singular Differential Equation

More information

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall Beyond Significance Teting ( nd Edition), Rex B. Kline Suggeted Anwer To Exercie Chapter. The tatitic meaure variability among core at the cae level. In a normal ditribution, about 68% of the core fall

More information

New bounds for Morse clusters

New bounds for Morse clusters New bound for More cluter Tamá Vinkó Advanced Concept Team, European Space Agency, ESTEC Keplerlaan 1, 2201 AZ Noordwijk, The Netherland Tama.Vinko@ea.int and Arnold Neumaier Fakultät für Mathematik, Univerität

More information

Predicting the Performance of Teams of Bounded Rational Decision-makers Using a Markov Chain Model

Predicting the Performance of Teams of Bounded Rational Decision-makers Using a Markov Chain Model The InTITuTe for ytem reearch Ir TechnIcal report 2013-14 Predicting the Performance of Team of Bounded Rational Deciion-maer Uing a Marov Chain Model Jeffrey Herrmann Ir develop, applie and teache advanced

More information

A First Digit Theorem for Square-Free Integer Powers

A First Digit Theorem for Square-Free Integer Powers Pure Matheatical Science, Vol. 3, 014, no. 3, 19-139 HIKARI Ltd, www.-hikari.co http://dx.doi.org/10.1988/p.014.4615 A Firt Digit Theore or Square-Free Integer Power Werner Hürliann Feldtrae 145, CH-8004

More information

Advanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment

Advanced D-Partitioning Analysis and its Comparison with the Kharitonov s Theorem Assessment Journal of Multidiciplinary Engineering Science and Technology (JMEST) ISSN: 59- Vol. Iue, January - 5 Advanced D-Partitioning Analyi and it Comparion with the haritonov Theorem Aement amen M. Yanev Profeor,

More information

CDMA Signature Sequences with Low Peak-to-Average-Power Ratio via Alternating Projection

CDMA Signature Sequences with Low Peak-to-Average-Power Ratio via Alternating Projection CDMA Signature Sequence with Low Peak-to-Average-Power Ratio via Alternating Projection Joel A Tropp Int for Comp Engr and Sci (ICES) The Univerity of Texa at Autin 1 Univerity Station C0200 Autin, TX

More information

RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS

RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS www.arpapre.com/volume/vol29iue1/ijrras_29_1_01.pdf RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS Sevcan Demir Atalay 1,* & Özge Elmataş Gültekin

More information

OPTIMAL STOPPING FOR SHEPP S URN WITH RISK AVERSION

OPTIMAL STOPPING FOR SHEPP S URN WITH RISK AVERSION OPTIMAL STOPPING FOR SHEPP S URN WITH RISK AVERSION ROBERT CHEN 1, ILIE GRIGORESCU 1 AND MIN KANG 2 Abtract. An (m, p) urn contain m ball of value 1 and p ball of value +1. A player tart with fortune k

More information

Avoiding Forbidden Submatrices by Row Deletions

Avoiding Forbidden Submatrices by Row Deletions Avoiding Forbidden Submatrice by Row Deletion Sebatian Wernicke, Jochen Alber, Jen Gramm, Jiong Guo, and Rolf Niedermeier Wilhelm-Schickard-Intitut für Informatik, niverität Tübingen, Sand 13, D-72076

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS Matheatic Reviion Guide Introduction to Differential Equation Page of Author: Mark Kudlowki MK HOME TUITION Matheatic Reviion Guide Level: A-Level Year DIFFERENTIAL EQUATIONS Verion : Date: 3-4-3 Matheatic

More information

Stochastic Neoclassical Growth Model

Stochastic Neoclassical Growth Model Stochatic Neoclaical Growth Model Michael Bar May 22, 28 Content Introduction 2 2 Stochatic NGM 2 3 Productivity Proce 4 3. Mean........................................ 5 3.2 Variance......................................

More information

The Features For Dark Matter And Dark Flow Found.

The Features For Dark Matter And Dark Flow Found. The Feature For Dark Matter And Dark Flow Found. Author: Dan Vier, Alere, the Netherland Date: January 04 Abtract. Fly-By- and GPS-atellite reveal an earth-dark atter-halo i affecting the orbit-velocitie

More information

The Hassenpflug Matrix Tensor Notation

The Hassenpflug Matrix Tensor Notation The Haenpflug Matrix Tenor Notation D.N.J. El Dept of Mech Mechatron Eng Univ of Stellenboch, South Africa e-mail: dnjel@un.ac.za 2009/09/01 Abtract Thi i a ample document to illutrate the typeetting of

More information

Practice Problem Solutions. Identify the Goal The acceleration of the object Variables and Constants Known Implied Unknown m = 4.

Practice Problem Solutions. Identify the Goal The acceleration of the object Variables and Constants Known Implied Unknown m = 4. Chapter 5 Newton Law Practice Proble Solution Student Textbook page 163 1. Frae the Proble - Draw a free body diagra of the proble. - The downward force of gravity i balanced by the upward noral force.

More information

Social Studies 201 Notes for March 18, 2005

Social Studies 201 Notes for March 18, 2005 1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

Optimization model in Input output analysis and computable general. equilibrium by using multiple criteria non-linear programming.

Optimization model in Input output analysis and computable general. equilibrium by using multiple criteria non-linear programming. Optimization model in Input output analyi and computable general equilibrium by uing multiple criteria non-linear programming Jing He * Intitute of ytem cience, cademy of Mathematic and ytem cience Chinee

More information

Source slideplayer.com/fundamentals of Analytical Chemistry, F.J. Holler, S.R.Crouch. Chapter 6: Random Errors in Chemical Analysis

Source slideplayer.com/fundamentals of Analytical Chemistry, F.J. Holler, S.R.Crouch. Chapter 6: Random Errors in Chemical Analysis Source lideplayer.com/fundamental of Analytical Chemitry, F.J. Holler, S.R.Crouch Chapter 6: Random Error in Chemical Analyi Random error are preent in every meaurement no matter how careful the experimenter.

More information