EOQ Model with Time Induced Demand, Trade Credits and Price Discount on Shortages: A Periodic Review

Size: px
Start display at page:

Download "EOQ Model with Time Induced Demand, Trade Credits and Price Discount on Shortages: A Periodic Review"

Transcription

1 Global Journal of Pure and Applied Mahemaics. ISSN Volume 3, Number 8 (07, pp Research India Publicaions hp:// EOQ Model wih ime Induced Demand, rade Credis and Price Discoun on Shorages: A Periodic Review *H.S.Shukla, R.P.ripahi and *A. Siddiqui Deparmen of Mahemaics, Graphic Era Universiy, Dehradun (UK India *Deparmen of Mahemaics and Saisics, DDU Gorakhpur Universiy, Gorakhpur (UP India Auhor corresponding Absrac Invenory conrol is he mos imporan applicaion of operaions research. In radiional EOQ models demand rae is considered consan. Bu in acual pracice or any ype of business ransacion i is in dynamic sage. In his sudy a periodic review invenory model wih ime induced demand and is nonincreasing funcion of ime under rade credis is developed. We formulae and analyze he mehod of deermining he opimal order quaniy and oal profi. Invenory manager offers price discoun when here is no sock in hand o cusomer who is ineresed o backorder heir demand. Shorages are allowed and fully backlogged. he model maximizes he oal profi. Numerical examples are provided o illusrae he model. Sensiiviy analysis has also been provided wih he help of several key parameers. he second and hird order approximaions are used o find closed from soluion. Keywords: Invenory model; shorage; price discoun; rade credis; imedependen demand. INRODUCION In he radiion EOQ models i was considered ha buyer mus pay for purchase producs suddenly receiving hem. Bu in pracice a vendor frequenly offers heir reailers a rade credis for seling he amoun owed o hem. Generally, here is no ineres charged, if he ousanding amoun is paid wihin he rade credi. he rade

2 396 H.S.Shukla, R.P.ripahi and A. Siddiqui credi is beneficial for seller as well buyer. During he pas few decades several invenory modelers have sudied heir invenory models wih permissible delay in paymens. Goyal [] explored an EOQ model under rade credis. eng [] provided an appropriae pricing and lo- sizing model for a reailer when he supplier gives a rade credis. Aggarwal & Jaggi [3] generalized Goyal s model for deerioraing producs. Hwang and Shinn [4] esablished he opimal pricing and lo sizing for he reailer under he condiion of rade credis. Khanra e al [5] considered an economic order quaniy model for a deerioraing iem wih ime induced demand under permissible delay in paymens. eng e al. [6] esablished an EOQ under rade credi financing wih increasing demand. Chung [7] explored an alernaive approach o deermine he economic order quaniy under permissible delay in paymens. Relaed research papers can be found in Chung [8], Chung & Liao [9], eng and Chang [0],Huang and Hsu [], Liao e al [], Ouyang e al. [3], eng and Chung [4], Soni [5], ripahi and Kumar [6] and here references. In Classical invenory model demand rae is considered consan. However, in realiy he demand is in dynamic sae. Silver & Meal [7] considered an EOQ model for variable demand. Donaldon [8] was o firs o provide a fully analyical soluion o he problem of invenory replenishmen wih a linearly ime dependen demand. ripahi and Pandey [9] considered an invenory model for deerioraing iems wih Weibull disribuion ime- dependen demand rae under permissible delay in paymens. Min e al. [0] developed a lo- sizing model for deerioraing iems wih a curren sock- dependen demand and delay in paymen. ripahi & omar [] esablished he possible effecs of a emporary price discoun offered by a supplier on a reailer s replenishmen policy for deerioraing iems wih linear ime- dependen demand rae. Research work in his direcion came from Dave & Pael [], Chung & ing [3], Gowsami & Chaudhuri [4], Jalan e al. [5], Lin e al [6] and ohers. Generally, buyers have o wai for some daily life useful producs in case of unavailabiliy. he reason is he ousanding qualiy of he iem or specific characerisics. Ghiami e al [7] invesigaed a wo echelon supply chain model for deerioraing invenory in which he reailer s warehouse has a limied capaciy. Pal & Chandra [8] sudied a periodic review invenory model wih sock- dependen demand under shorages and rade credis. ripahi [9] developed an EOQ model for deerioraing iem wih linearly ime dependen demand rae under inflaion and ime discouning over a finie planning horizon under shorages. Yang [30], Law and Wee [3], Dye [3], Jaggi e al [33], Ouyang & Chang [34], Wee e al [35], Luong& Karim [36] developed heir EOQ models under shorages.

3 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun NOAIONS AND ASSUMPION he following noaions are adoped: A p C C β0 β Ie Ip s : ordering cos/ order : purchase cos/ uni/uni ime : back order cos/ uni/ uni ime : cos of a los sale : marginal profi/ uni : price discoun on uni backorder offered : ineres earned/ uni ime : ineres payable/ uni ime beyond he rade credi (Ip > Ie : selling price/ uni α0 : upper bound on backorder raio, 0 α0 α : fracion of he demand during sock-ou ime which is acceped o be backlogged Im Ib Q( λ : ime aken from sock in hand 0 : lengh of a replenishmen cycle : maximum sock heigh in a replenishmen cycle : maximum shorage (backorder : invenory level a ime : deerioraion rae he assumpions are as follows: (i Lead ime is negligible (ii Shorages are allowed and fracion α of unme demands in he sock ou is backlogged. (iii Demand rae D( a ime is (iv Single iem is considered. a b, for, 0, a 0, a > b > 0 D (. a, for, (v Back order fracion α is proporional o he price discoun β offered by vendor. hus 0, where 0 β β0. 0

4 3964 H.S.Shukla, R.P.ripahi and A. Siddiqui 3. MAHEMAICAL MODEL AND OPIMAL SOLUION Le us consider ha he saring of he firs reorder ime, he sock level is zero before ordering, he order quaniy during he period (0, is Im. he planning horizon is divided ino reorder ime inervals, each of lengh. Orders are placed a ime poins,, 3, , he order quaniy being jus sufficien o bring he sock heigh o a cerain level Im. Decrease of invenory level Q( occurs due o boh demand and deerioraion in inerval (0,. he shorages occurs during (, in which a fracion α is backlogged. he change of invenory level wih respec o ime is considered as: dq( Q( ( a b., 0 ( d and dq( d a, ( under he condiion Q( = 0 (3 he soluion of ( and ( wih he help of (3 are b ( ( Q a e b ( e and Q( a ( (5 respecively. b I Q a e b e hus m (0 And Ib Q( a ( (7 he sales revenue SR during [0, ] is b s a b d a d s a a ( ( (8 0 he holding cos HC during [0,] h b e e h Q( d a b (9 0 oal number of backorders BO during [, ] is (4 (6

5 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun C Q( d (0 a C ( oal number of los sales LS during [, ] is C a( ( ( wo cases may arise regarding he permissible delay in paymens (m and m > Case I (m Since credi period is shorer han ime for sock in hand, hus vendor can use he sales revenue o earn ineres a rae Ie in [0, ]. he ineres earned IE by he buyer is si e b e e sie Q( d a b ( 0 and he ineres payable IP by he vendor beyond he fixed credi period is ( m e m ( m pi r b e pir Q( d a ( m b (3 m herefore, he oal profi P(, per uni cycle ime is P (, SR A HC BO LS IP IE (4 Case II (m > Since credi period is longer han, seller pays no ineres, bu earns ineres IE wih rae Ie. hus m b e e a m ( ( e (5 IE sie Q d a m d si a b 0 Hence, he oal profi P(, per uni cycle ime is P (, SR A HC BO LS IE (6 Wih he help of above discussion we ge he following properies: Propery : he opimal cycle ime is an increasing funcion of ime for posiive invenory: Proof: I is obvious from (A5, (A3 and (A33.

6 3966 H.S.Shukla, R.P.ripahi and A. Siddiqui Propery : he opimal cycle ime is convex funcion of. Proof: I is obvious from (A6, (A3 and (A34. Propery 3: If α =, he oal profi is greaer han ha of 0 < α <. Proof: In case of α =, LS = 0. he oal profi for boh cases become P (, SR A HC BO IP IE (7 P (, SR A HC BO IE (8 From (4 and (7, we ge LS P (, P (, 0 P (, P (, (9 From (6 and (8, we ge (, (, LS P P 0 P (, P (, (0 4. NUMERICAL EXAMPLES Case I: Consider he parameer values s = 50, a = 5, b =.5, α = 0.7, θ = 0.05, C = 50, C = 0, h = 40, Ie = 0.03, Ir = 0.05, A = 00, p = 50, m = 0. in appropriae unie. We ge, * = year, * = year, Q = unis, P* = $ Case II: Consider he parameer values s = 50, a = 5, b =.5, α = 0.7, θ = 0.05, C = 50, C = 0, h = 400, Ie = 0.03, Ir = 0.05, A = 00, p = 50, m = 0. in appropriae unie. We ge * = year, * = year, Q = unis and P* = $ he following figures (Case & and show ha he oal profi is concave wih respec o cycle ime: Fig (Case can be drawn considering he following parameer values s = 50, a = 5, b =.5, α = 0.7, λ = 0.05, C = 50, C = 0, h = 50, Ie = 0.03, Ir = 0.05, A = 00, p = 50, m = 0., = 0., in appropriae unis.

7 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun Fig : (Case : Graph beween cycle ime and oal profi P Fig (Case consider he following parameer values s = 00, a = 0, b =.5, α = 0.7, λ = 0.05, C = 50, C = 0, h = 50, Ie = 0.03, Ir = 0.05, A = 00, p = 50, m = 0., = 0.05 in appropriae unis. Fig.. (Case Graph beween cycle ime and oal profi P

8 3968 H.S.Shukla, R.P.ripahi and A. Siddiqui 5. SENSIIVIY ANALYSIS In real life he and business managemen he fuure planning is uncerain. Seller wans o more profi for he producs kep in hand. he sensiiviy analysis is beneficial for vendor and buyer boh. We consider he variaion of,, Q and P wih he variaion of s, h, A, C, C,m and p. he numerical dae is aken from numerical examples and for case I and II respecively keeping remaining parameers same. able : Variaion of,, Q and P wih several parameers Case I Case II s Q P s Q P h Q P a Q P A Q P C Q P m Q P C Q P

9 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun C Q P h Q P C Q P A Q P p Q P m Q P From he above discussion he inferences can be made: Increase in, P and decrease in, Q wih he increase in s. Decrease in, P, and Q wih increase in h and p respecively. Increase in, and decrease in P,, Q wih increase in C and C respecively. Increase in,, Q and decrease in P wih increase in A. Decrease in, and increase in Q, P, wih increase in a. 6. CONCLUSION I is difficul for invenory manager o decide when and how many iems are kep in he shop. I depends on he siuaion and public demand. In mos of he cases he demand in dynamic sae. In his sudy, we have considered he demand in ime dependen and deerioraion is consan. Shorages are allowed. wo differen cases have been considered. Mahemaical model is provided for finding opimal soluion. based on he opimal soluion wo properies have been obained based on he opimal

10 3970 H.S.Shukla, R.P.ripahi and A. Siddiqui soluion. We have proved ha he oal profi in concave wih cycle ime. From managerial poin of view he oal profi have decrease wih increase of uni holding cos, back order cos, los sell cos and purchase cos, bu increase wih he increase of iniial demand, selling price and ordering cos. he possible exension of he model for including weibull disribuion deerioraion. We may also add he adverisemens charges and freigh charges. APPENDIX ( SR / s b ( SR / s a a b a a,, ( SR / sb s b ( SR / a a 3 ( SR / s, a a b ( HC / h( a b e. HC h b e e a 3 b ( / ( HC / h a b e (, ( HC / h a b e b e (. ( BO / a C ( LS / Ca, ( LS / C a, ( BO / a C ( LS / 0. ( IE / sie a b e,, ( BO / a C( and ( LS / Ca ( BO / a C and ( IE / sie a b e b e ( IE/ si e e b e a b..

11 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun ( IE/ si e e b e a 3 b ( IE / sie a b e. ( m ( IP / pi ( r b e m ( m a e b e ( IP / pi r ( m ( m ( m ae be e e ( m ( IP / pir b ( m ( m a e b e ( m ( IP/ pi ( r b e m m a e m b ( IE / si e b e a e b e a m ( IE / si e ae be e a ( IE / si e b e a e b e a m ( IP / s b a a a b a C( Ca ( m pi ( r b e m m a e m b (A ( IP / 0, gives h si e b e e.,

12 397 H.S.Shukla, R.P.ripahi and A. Siddiqui b a C( sa a a b C a h si e b e e ( m pi ( r b e m m a e m b 0 Differeniaing (A w.r.. wo imes, we ge ( a b s( a b a ( ( m h si e e d pir e a C a C Ca( = 0 d (A 3 sb ( h si ae b b( e - pi r (A 4 e ae b b( e ( m ( m From (A 3 and (A 4, we ge d d = 0. d d a C a C a C ( m e r d * ( a b ( h si e pi e s( a b a a C Ca( d ac > 0 (A 5 and d ( m ( m r * ( h sie ( a b e b e pi ( a b e b e d ac Again ( sb ac ac d d > 0 (A 6 ac ( h si ( a b e ( IP / s( a b a e ac ( Ca( pi r ( ( m a b e (A 6 (A ( IP / 0, gives

13 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun ( m r s( a b a ( h si ( a b e ac ( C a( pi ( a b e = 0 (A e Differeniaing (A w.r.. wo imes we ge d sb ( h si b be ( a b e ac ac e d pi b be ( a b e 0 r ( m ( m (A ( m ( m e r e r d ( a b ( h si e pi e b ( h si e pi e ac 0 (A d From (A and (A, we ge ( m ( m r d * ( h sie ae b b( e pi ae b b( e ( sb ac d ac > 0 (A 3 and d d Again * ( ( m a b b ( h sie e piee > 0 (A 3 a C ( P / s b ( h si e e b e a a a b d ac ac si a m ( P / 0 d e, gives b ( h si e b e e a C s a a a b siea ( m Ca( 0 (A 3 Differeniaing (A 3 wo imes wih respec o, we ge ( h si d s a b a a b e ac ac e d C a( si a( m 0 (A 3 e

14 3974 H.S.Shukla, R.P.ripahi and A. Siddiqui ( h si d d ( e 0 d d e sb ae b b e a C a C a C si a (A 3 From Equaions (A 3 and (A 3, we ge d * ( h sie( a b ( e s( a b a a C Ca( siea ( m d ac and d d (A 34 > 0 (A 33 * ( ( h sie ae b b e sb ac siea ac d ac > 0 d REFERENCES [] Goyal, S.K. (985. Economic Order Quaniy under condiions of permissible delay in paymens. Journal of Operaional Research Sociey, 36, [] eng, J.. Chang, C.. and Goyal, S.K. (005. Opimal pricing and ordering policy under permissible delay in paymens. Inernaional Journal of Producion Economics, 97, -9. [3] Aggarwal, S.P. and Jaggi, C.K. (995. Ordering policies of deerioraing iems under permissible delay in paymens. Journal of Operaional Research Sociey, 46, [4] Hwang, H. and Shinn, S.W. (997. Reailer s pricing and lo sizing policy for exponenially deerioraing producs under he condiion of permissible delay in paymens. Compuers and Operaions Research, 4, [5] Khanra, S. Ghosh, S.K. and Chaudhuri, K.S. (0. An EOQ model for a deerioraing iem wih ime dependen quadraic demand under permissible delay in paymen. Applied Mahemaics and Compuaion, 8, -9. [6] eng, J.. Min, J. and Pan, Q. (0. Economic order quaniy model wih rade credi financing for non- decreasing demands. Omega, 40, [7] Chung,K.J. (998. A heorem on he deerminaion of economic order quaniy under condiions of permissible delay in paymens. Compuers and Operaions Research, 5, [8] Chung,K.J. (008. Commen on he EPQ model under reailer parial rade credi policy in he supply chain. Inernaional Journal of Producion Economics, 4,

15 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun [9] Chung, K.J. and Liao, J.J. (004. Lo- sizing decisions under rade credi depending on he order quaniy. Compuers and Operaions Research, 3, [0] Goyal, S.K. eng, J.. and Chung, C.. (007.Opimal ordering policies when he supplier provides a progressive ineres payable- scheme. European Journal of Operaional Research, 79, [] Huang, Y.F. and Hsu, K.H. (008. An EOQ model under reailer parial rade credi policy in rade credi policy in supply chain. Inernaional Journal of Producion Economics,, [] Liao, H.C. sai, C.H. and Su, C.. (000. An invenory model wih deerioraing iems under inflaion when delay in paymen is permissible. Inernaional Journal of Producion Economics, 63, [3] Ouyang, L.Y. Chang, C.. and eng, J.. (005. An EOQ model for decaying iems under rade credis. Journal of Operaional Research Sociey, 5, [4] eng, J.. and Chang, C.. (009. Opimal manufacurer s replenishmen policies in he EPQ model under wo levels of rade credi policy. European Journal of Operaional Research, 95, [5] Soni, H.N. (03.Opimal replenishmen policies for non- insananeous deerioraing iems wih price and sock- sensiive demand under permissible delay in paymens. Inernaional Journal of Producion Economics, 46, [6] ripahi, R.P. and Kumar, A.K. (004. EOQ model wih cash flow oriened and quaniy dependen under rade credis. Inernaional Journal of Engineering, 7(7, 09-. [7] Silver, E.A. and Meal, H.C. (969. A simple modificaion of EOQ for he case of a varying demand rae. Producion and Invenory Managemen, 0(4, [8] Silver,E.A. (979. A single invenory replenishmen decision rule for a linear rend in demand. Journal of Operaional Research Sociey, 30, [9] ripahi, R.P. and Pandey, H.S. (03. An EOQ model for deerioraing iem wih Weibull ime- dependen demand rae under rade credis. Inernaional Journal of Informaion and Managemen Sciences, 4, [0] Min, J. Zhou, Y.W. and Zhao, J. (00. An invenory model for deerioraing iems under sock- dependen demand and wo level rade credi. Applied Mahemaical Modelling, 34, [] ripahi, R.P. and omar, S.S. (05. Opimal order policy for deerioraing iems wih ime- dependen demand in response o emporary price discoun linked o order quaniy. Inernaional Journal of Mahemaical Analysis, 9(3,

16 3976 H.S.Shukla, R.P.ripahi and A. Siddiqui [] Dave, U. and Pael, L.K. (98. (, Si policy invenory model for deerioraing iems wih ime- proporion demand. Journal of Operaional Research Sociey 3, [3] Chung, K.J. and ing, P.S. (993. A heurisic for replenishmen of deerioraing iems wih a linear rend in demand. Journal of Operaional Research Sociey, 44 (, [4] Goswami, A. and Chaudhuri, K.S. (99. An EOQ model for deerioraing iems wih a linear rend in demand. Journal of Operaional Research Sociey, 4(, [5] Jalan, A.K. Giri, K.S. and Chaudhuri, K.S. (996. EOQ model for iem wih Weibull disribuion deerioraion, shorages and rended demand. Inernaional Journal of Sysem Science, 7(9, [6] Lin,C. an,b. and Lee, W.C.(000. An EOQ model for deerioraing iems wih ime varying demand and shorages. Inernaional Journal of Sysem Science, 3(3, [7] Ghiami, Y. Williams,. and Wu, Y. (03 A wo- echelon invenory model for a deerioraing iem wih sock- dependen demand, parial backlogging and capaciy consrains. European Journal of Operaional Research, 3, [8] Pal, M. and Chandra, S. (04 A periodic review invenory model wih sock dependen demand, permissible delay in paymens and price discoun on backorders. Yugoslav Journal of Operaions Research, 4(, [9] ripahi, R.P. (06 Economic order quaniy for deerioraing iems wih nondecreasing demand and shorages under inflaion and ime discouning. Inernaional Journal of Engineering, 8(9, [30] Yang,H.L. (005 A comparision among various parial backlogging invenory lo-size models for deerioraing iems on he basis of maximum profi. Inernaional Journal of Producion Economics, 96, 9-8. [3] Law, S.. and Wee, H.M. (000. An inegraed producion invenory model for amelioraing and deerioraing iems aking accoun of ime discouning. Mahemaics and Compuer Modelling, 43, [3] Dye, C.Y. (007. Join pricing and ordering policy for a deerioraing invenory wih parial backlogging. he Inernaional Journal of Managemen Science, 35, [33] Jaggi, C.K. Goel, S.K. and Mial, M. (03. Credi financing in economic ordering policies for defecive iem wih allowable shorages. Applied Mahemaics

17 EOQ Model wih ime Induced Demand, rade Credis and Price Discoun and Compuaion, 9, [34] Ouyang,L.Y. and Chang, C.. (03. Opimal producion lo wih imperfec producion process under permissible delay in paymens and complee backlogging. Inernaional Journal of Producion Economics, 44, [35] Wee, H.M. Huang, Y.D. Wang, W.. and Chang, Y.L. (04. An EPQ model wih parial backorders considering wo backordering coss. Applied Mahemaics and Compuaion, 3, [36] Luong, H.. & Karim, R.(07. An inegraed producion invenory model of deerioraing iems subjec o random machine breakdown wih a sochasic repair ime. Inernaional Journal of Indusrial Engineering Compuaions, 8, 7-36.

18 3978 H.S.Shukla, R.P.ripahi and A. Siddiqui

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 6, Nov-Dec 2015

International Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 6, Nov-Dec 2015 Inernaional Journal of Compuer Science Trends and Technology (IJCST) Volume Issue 6, Nov-Dec 05 RESEARCH ARTICLE OPEN ACCESS An EPQ Model for Two-Parameer Weibully Deerioraed Iems wih Exponenial Demand

More information

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging

An Inventory Model for Time Dependent Weibull Deterioration with Partial Backlogging American Journal of Operaional Research 0, (): -5 OI: 0.593/j.ajor.000.0 An Invenory Model for Time ependen Weibull eerioraion wih Parial Backlogging Umakana Mishra,, Chaianya Kumar Tripahy eparmen of

More information

An Inventory Model with Variable Demand Rate for Deteriorating Items under Permissible Delay in Payments

An Inventory Model with Variable Demand Rate for Deteriorating Items under Permissible Delay in Payments Inernaional Journal of Compuer Applicaions echnology Research Volume 4 Issue, 947-95, 05, ISSN: 9 85 An Invenory Model wih Variable Dem Rae for Deerioraing Iems under Permissible Delay in Paymens Ajay

More information

Deteriorating Inventory Model with Time. Dependent Demand and Partial Backlogging

Deteriorating Inventory Model with Time. Dependent Demand and Partial Backlogging Applied Mahemaical Sciences, Vol. 4, 00, no. 7, 36-369 Deerioraing Invenory Model wih Time Dependen Demand and Parial Backlogging Vinod Kumar Mishra Deparmen of Compuer Science & Engineering Kumaon Engineering

More information

International Journal of Supply and Operations Management

International Journal of Supply and Operations Management Inernaional Journal of Supply and Operaions Managemen IJSOM May 05, Volume, Issue, pp 5-547 ISSN-Prin: 8-59 ISSN-Online: 8-55 wwwijsomcom An EPQ Model wih Increasing Demand and Demand Dependen Producion

More information

Production Inventory Model with Different Deterioration Rates Under Shortages and Linear Demand

Production Inventory Model with Different Deterioration Rates Under Shortages and Linear Demand Inernaional Refereed Journal of Engineering and Science (IRJES) ISSN (Online) 39-83X, (Prin) 39-8 Volume 5, Issue 3 (March 6), PP.-7 Producion Invenory Model wih Differen Deerioraion Raes Under Shorages

More information

Inventory Control of Perishable Items in a Two-Echelon Supply Chain

Inventory Control of Perishable Items in a Two-Echelon Supply Chain Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan

More information

An Inventory Model for Constant Deteriorating Items with Price Dependent Demand and Time-varying Holding Cost

An Inventory Model for Constant Deteriorating Items with Price Dependent Demand and Time-varying Holding Cost Inernaional Journal of Compuer Science & Communicaion An Invenory Model for Consan Deerioraing Iems wih Price Dependen Demand and ime-varying Holding Cos N.K.Sahoo, C.K.Sahoo & S.K.Sahoo 3 Maharaja Insiue

More information

On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration

On a Discrete-In-Time Order Level Inventory Model for Items with Random Deterioration Journal of Agriculure and Life Sciences Vol., No. ; June 4 On a Discree-In-Time Order Level Invenory Model for Iems wih Random Deerioraion Dr Biswaranjan Mandal Associae Professor of Mahemaics Acharya

More information

A Study of Inventory System with Ramp Type Demand Rate and Shortage in The Light Of Inflation I

A Study of Inventory System with Ramp Type Demand Rate and Shortage in The Light Of Inflation I Inernaional Journal of Mahemaics rends and echnology Volume 7 Number Jan 5 A Sudy of Invenory Sysem wih Ramp ype emand Rae and Shorage in he Ligh Of Inflaion I Sangeea Gupa, R.K. Srivasava, A.K. Singh

More information

Key words: EOQ, Deterioration, Stock dependent demand pattern

Key words: EOQ, Deterioration, Stock dependent demand pattern An Invenory Model Wih Sock Dependen Demand, Weibull Disribuion Deerioraion R. Babu Krishnaraj Research Scholar, Kongunadu Ars & Science ollege, oimbaore 64 9. amilnadu, INDIA. & K. Ramasamy Deparmen of

More information

Deteriorating Inventory Model When Demand Depends on Advertisement and Stock Display

Deteriorating Inventory Model When Demand Depends on Advertisement and Stock Display Inernaional Journal of Operaions Research Inernaional Journal of Operaions Research Vol. 6, No. 2, 33 44 (29) Deerioraing Invenory Model When Demand Depends on Adverisemen and Sock Display Nia H. Shah,

More information

MANUFACTURER-SUPPLIER COOPERATIVE INVENTORY MODEL FOR DETERIORATING ITEM WITH TRAPEZOIDAL TYPE DEMAND

MANUFACTURER-SUPPLIER COOPERATIVE INVENTORY MODEL FOR DETERIORATING ITEM WITH TRAPEZOIDAL TYPE DEMAND Yugoslav Journal of Operaions Research 6 (6) Number, 3- DOI:.98/YJOR4S MANUFACURER-SUPPLIER COOPERAIVE INVENORY MODEL FOR DEERIORAING IEM WIH RAPEZOIDAL YPE DEMAND Narayan SINGH Deparmen of Mahemaics D.N.

More information

An Inventory Model for Weibull Time-Dependence. Demand Rate with Completely Backlogged. Shortages

An Inventory Model for Weibull Time-Dependence. Demand Rate with Completely Backlogged. Shortages Inernaional Mahemaial Forum, 5, 00, no. 5, 675-687 An Invenory Model for Weibull Time-Dependene Demand Rae wih Compleely Baklogged Shorages C. K. Tripahy and U. Mishra Deparmen of Saisis, Sambalpur Universiy

More information

A STUDY OF INFLATION EFFECTS ON AN EOQ MODEL FOR WEIBULL DETERIORATING/AMELIORATING ITEMS WITH RAMP TYPE OF DEMAND AND SHORTAGES

A STUDY OF INFLATION EFFECTS ON AN EOQ MODEL FOR WEIBULL DETERIORATING/AMELIORATING ITEMS WITH RAMP TYPE OF DEMAND AND SHORTAGES Yugoslav Journal of Operaions Research 3 (3) Numer 3, 44-455 DOI:.98/YJOR838V A SUDY OF INFLAION EFFECS ON AN EOQ MODEL FOR WEIBULL DEERIORAING/AMELIORAING IEMS WIH RAMP YPE OF DEMAND AND SHORAGES M. VALLIAHAL

More information

Inventory Models with Weibull Deterioration and Time- Varying Holding Cost

Inventory Models with Weibull Deterioration and Time- Varying Holding Cost Inernaional Journal of Scienific and Research Publicaions, Volume 5, Issue 6, June 05 ISSN 50-5 Invenory Models wih Weibull Deerioraion and ime- Varying Holding Cos Riu Raj *, Naresh Kumar Kaliraman *,

More information

International Journal of Industrial Engineering Computations

International Journal of Industrial Engineering Computations Inernaional Journal of Indusrial Engineering Compuaions 5 (214) 497 51 Conens liss available a GrowingScience Inernaional Journal of Indusrial Engineering Compuaions homepage: www.growingscience.com/ijiec

More information

Research Article The Optimal Replenishment Policy under Trade Credit Financing with Ramp Type Demand and Demand Dependent Production Rate

Research Article The Optimal Replenishment Policy under Trade Credit Financing with Ramp Type Demand and Demand Dependent Production Rate Discree Dynamics in Naure and Sociey, Aricle ID 839418, 18 pages hp://dx.doi.org/1.1155/214/839418 Research Aricle he Opimal Replenishmen Policy under rade Credi Financing wih Ramp ype Demand and Demand

More information

Two New Uncertainty Programming Models of Inventory with Uncertain Costs

Two New Uncertainty Programming Models of Inventory with Uncertain Costs Journal of Informaion & Compuaional Science 8: 2 (211) 28 288 Available a hp://www.joics.com Two New Uncerainy Programming Models of Invenory wih Uncerain Coss Lixia Rong Compuer Science and Technology

More information

An EPQ Inventory Model with Variable Holding Cost and Shortages under the Effect of Learning on Setup Cost for Two Warehouses

An EPQ Inventory Model with Variable Holding Cost and Shortages under the Effect of Learning on Setup Cost for Two Warehouses ISSN 394 3386 Augus 07 An EPQ Invenory Model wih Variable Holding Cos and Shorages under he Effec of Learning on Seup Cos for Two Warehouses Monika Vishnoi*, S.R.Singh C.C.S.Universiy, Meeru, U.P., India

More information

An Inventory Model of Repairable Items with Exponential Deterioration and Linear Demand Rate

An Inventory Model of Repairable Items with Exponential Deterioration and Linear Demand Rate IOSR Journal of Mahemaics (IOSR-JM) e-issn: 78-578, p-issn: 19-765X. Volume 1, Issue Ver. IV (May - June 017), PP 75-8 www.iosrjournals.org An Invenory Model of Repairable Iems wih Exponenial Deerioraion

More information

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Capacity Constraints

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Capacity Constraints IJCSI Inernaional Journal of Compuer Science Issues, Vol 9, Issue 1, No 1, January 2012 wwwijcsiorg 18 Applying Geneic Algorihms for Invenory Lo-Sizing Problem wih Supplier Selecion under Sorage Capaciy

More information

Excel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand

Excel-Based Solution Method For The Optimal Policy Of The Hadley And Whittin s Exact Model With Arma Demand Excel-Based Soluion Mehod For The Opimal Policy Of The Hadley And Whiin s Exac Model Wih Arma Demand Kal Nami School of Business and Economics Winson Salem Sae Universiy Winson Salem, NC 27110 Phone: (336)750-2338

More information

An EOQ Inventory Model for Deteriorating Items with Linear Demand, Salvage Value and Partial Backlogging

An EOQ Inventory Model for Deteriorating Items with Linear Demand, Salvage Value and Partial Backlogging Inernaional Journal of Applied Engineering Research ISSN 97-6 Volume Number 9 (6) pp 679-68 Research India Publicaions hp://wwwripublicaioncom An EOQ Inenory Model for Deerioraing Iems wih Linear Dem Salage

More information

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS

CENTRALIZED VERSUS DECENTRALIZED PRODUCTION PLANNING IN SUPPLY CHAINS CENRALIZED VERSUS DECENRALIZED PRODUCION PLANNING IN SUPPLY CHAINS Georges SAHARIDIS* a, Yves DALLERY* a, Fikri KARAESMEN* b * a Ecole Cenrale Paris Deparmen of Indusial Engineering (LGI), +3343388, saharidis,dallery@lgi.ecp.fr

More information

An EOQ Model with Verhulst s Demand and Time-Dependent Deterioration Rate

An EOQ Model with Verhulst s Demand and Time-Dependent Deterioration Rate An EOQ Model wih Verhuls s Demand and Time-Dependen Deerioraion Rae Yuan-Chih Huang Kuo-Hsien Wang Deparmen of Business Managemen, Takming niversiy of Science and Technology, Taiwan Yu-Je Lee, Deparmen

More information

Optimal Replenishment Policy for Ameliorating Item with Shortages under Inflation and Time Value of Money using Genetic Algorithm

Optimal Replenishment Policy for Ameliorating Item with Shortages under Inflation and Time Value of Money using Genetic Algorithm Inernaional Journal of Compuer Applicaions (975 8887) Volume 7 No., Augus Opimal Replenishmen Policy for Amelioraing Iem wih Shorages under Inflaion and ime Value of Money using Geneic Algorihm S.R. Singh

More information

Competitive and Cooperative Inventory Policies in a Two-Stage Supply-Chain

Competitive and Cooperative Inventory Policies in a Two-Stage Supply-Chain Compeiive and Cooperaive Invenory Policies in a Two-Sage Supply-Chain (G. P. Cachon and P. H. Zipkin) Presened by Shruivandana Sharma IOE 64, Supply Chain Managemen, Winer 2009 Universiy of Michigan, Ann

More information

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,

More information

Research Article Order Level Inventory Models for Deteriorating Seasonable/Fashionable Products with Time Dependent Demand and Shortages

Research Article Order Level Inventory Models for Deteriorating Seasonable/Fashionable Products with Time Dependent Demand and Shortages Hindawi Publishing Corporaion Mahemaical Problems in Engineering Volume 29, Aricle ID 679736, 24 pages doi:.55/29/679736 Research Aricle Order Level Invenory Models for Deerioraing Seasonable/Fashionable

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

An Inventory Model with Time-Varying Demand for Non- Instantaneous Deteriorating Items with Maximum Life Time

An Inventory Model with Time-Varying Demand for Non- Instantaneous Deteriorating Items with Maximum Life Time nernaional Journal of Applie Engineering esearch SSN 097-456 Volume, Number 9 08 pp. 76-767 esearch nia Publicaions. hp://www.ripublicaion.com An nvenory Moel wih ime-varying Deman for Non- nsananeous

More information

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

Stochastic Model for Cancer Cell Growth through Single Forward Mutation

Stochastic Model for Cancer Cell Growth through Single Forward Mutation Journal of Modern Applied Saisical Mehods Volume 16 Issue 1 Aricle 31 5-1-2017 Sochasic Model for Cancer Cell Growh hrough Single Forward Muaion Jayabharahiraj Jayabalan Pondicherry Universiy, jayabharahi8@gmail.com

More information

AN INVENTORY MODEL FOR DETERIORATING ITEMS WITH EXPONENTIAL DECLINING DEMAND AND PARTIAL BACKLOGGING

AN INVENTORY MODEL FOR DETERIORATING ITEMS WITH EXPONENTIAL DECLINING DEMAND AND PARTIAL BACKLOGGING Yugoslav Journal of Operaions Researh 5 (005) Number 77-88 AN INVENTORY MODEL FOR DETERIORATING ITEMS WITH EXPONENTIAL DECLINING DEMAND AND PARTIAL BACKLOGGING Liang-Yuh OUYANG Deparmen of Managemen Sienes

More information

Errata (1 st Edition)

Errata (1 st Edition) P Sandborn, os Analysis of Elecronic Sysems, s Ediion, orld Scienific, Singapore, 03 Erraa ( s Ediion) S K 05D Page 8 Equaion (7) should be, E 05D E Nu e S K he L appearing in he equaion in he book does

More information

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions Muli-Period Sochasic Models: Opimali of (s, S) Polic for -Convex Objecive Funcions Consider a seing similar o he N-sage newsvendor problem excep ha now here is a fixed re-ordering cos (> 0) for each (re-)order.

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

Math 333 Problem Set #2 Solution 14 February 2003

Math 333 Problem Set #2 Solution 14 February 2003 Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial

More information

Exponentially Weighted Moving Average (EWMA) Chart Based on Six Delta Initiatives

Exponentially Weighted Moving Average (EWMA) Chart Based on Six Delta Initiatives hps://doi.org/0.545/mjis.08.600 Exponenially Weighed Moving Average (EWMA) Char Based on Six Dela Iniiaives KALPESH S. TAILOR Deparmen of Saisics, M. K. Bhavnagar Universiy, Bhavnagar-36400 E-mail: kalpesh_lr@yahoo.co.in

More information

A Deterministic Inventory Model for Deteriorating Items with Price Dependent Demand and Time Varying Holding Cost under Trade Credit

A Deterministic Inventory Model for Deteriorating Items with Price Dependent Demand and Time Varying Holding Cost under Trade Credit Inernaional Journal of Sof Comuing and Engineering (IJSCE) ISSN: 3-37, Volume-, Issue-, March A Deerminisic Invenory Model for Deerioraing Iems wih Price Deenden Demand and ime Varying Holding Cos under

More information

Title: Leadtime Management in a Periodic-Review Inventory System: A State-Dependent Base-Stock Policy

Title: Leadtime Management in a Periodic-Review Inventory System: A State-Dependent Base-Stock Policy Elsevier Ediorial Sysem(m) for European Journal of Operaional Research Manuscrip Draf Manuscrip Number: Tile: Leadime Managemen in a Periodic-Review Invenory Sysem: A Sae-Dependen Base-Sock Policy Aricle

More information

Probabilistic Models for Reliability Analysis of a System with Three Consecutive Stages of Deterioration

Probabilistic Models for Reliability Analysis of a System with Three Consecutive Stages of Deterioration Yusuf I., Gaawa R.I. Volume, December 206 Probabilisic Models for Reliabiliy Analysis of a Sysem wih Three Consecuive Sages of Deerioraion Ibrahim Yusuf Deparmen of Mahemaical Sciences, Bayero Universiy,

More information

Evaluation of Mean Time to System Failure of a Repairable 3-out-of-4 System with Online Preventive Maintenance

Evaluation of Mean Time to System Failure of a Repairable 3-out-of-4 System with Online Preventive Maintenance American Journal of Applied Mahemaics and Saisics, 0, Vol., No., 9- Available online a hp://pubs.sciepub.com/ajams/// Science and Educaion Publishing DOI:0.69/ajams--- Evaluaion of Mean Time o Sysem Failure

More information

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling?

not to be republished NCERT MATHEMATICAL MODELLING Appendix 2 A.2.1 Introduction A.2.2 Why Mathematical Modelling? 256 MATHEMATICS A.2.1 Inroducion In class XI, we have learn abou mahemaical modelling as an aemp o sudy some par (or form) of some real-life problems in mahemaical erms, i.e., he conversion of a physical

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

CHAPTER 2 Signals And Spectra

CHAPTER 2 Signals And Spectra CHAPER Signals And Specra Properies of Signals and Noise In communicaion sysems he received waveform is usually caegorized ino he desired par conaining he informaion, and he undesired par. he desired par

More information

2017 3rd International Conference on E-commerce and Contemporary Economic Development (ECED 2017) ISBN:

2017 3rd International Conference on E-commerce and Contemporary Economic Development (ECED 2017) ISBN: 7 3rd Inernaional Conference on E-commerce and Conemporary Economic Developmen (ECED 7) ISBN: 978--6595-446- Fuures Arbirage of Differen Varieies and based on he Coinegraion Which is under he Framework

More information

Stochastic Perishable Inventory Systems: Dual-Balancing and Look-Ahead Approaches

Stochastic Perishable Inventory Systems: Dual-Balancing and Look-Ahead Approaches Sochasic Perishable Invenory Sysems: Dual-Balancing and Look-Ahead Approaches by Yuhe Diao A hesis presened o he Universiy Of Waerloo in fulfilmen of he hesis requiremen for he degree of Maser of Applied

More information

FINM 6900 Finance Theory

FINM 6900 Finance Theory FINM 6900 Finance Theory Universiy of Queensland Lecure Noe 4 The Lucas Model 1. Inroducion In his lecure we consider a simple endowmen economy in which an unspecified number of raional invesors rade asses

More information

Lecture 20: Riccati Equations and Least Squares Feedback Control

Lecture 20: Riccati Equations and Least Squares Feedback Control 34-5 LINEAR SYSTEMS Lecure : Riccai Equaions and Leas Squares Feedback Conrol 5.6.4 Sae Feedback via Riccai Equaions A recursive approach in generaing he marix-valued funcion W ( ) equaion for i for he

More information

Examples of Dynamic Programming Problems

Examples of Dynamic Programming Problems M.I.T. 5.450-Fall 00 Sloan School of Managemen Professor Leonid Kogan Examples of Dynamic Programming Problems Problem A given quaniy X of a single resource is o be allocaed opimally among N producion

More information

Lecture Notes 5: Investment

Lecture Notes 5: Investment Lecure Noes 5: Invesmen Zhiwei Xu (xuzhiwei@sju.edu.cn) Invesmen decisions made by rms are one of he mos imporan behaviors in he economy. As he invesmen deermines how he capials accumulae along he ime,

More information

Comparing Theoretical and Practical Solution of the First Order First Degree Ordinary Differential Equation of Population Model

Comparing Theoretical and Practical Solution of the First Order First Degree Ordinary Differential Equation of Population Model Open Access Journal of Mahemaical and Theoreical Physics Comparing Theoreical and Pracical Soluion of he Firs Order Firs Degree Ordinary Differenial Equaion of Populaion Model Absrac Populaion dynamics

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

Mathematical Theory and Modeling ISSN (Paper) ISSN (Online) Vol 3, No.3, 2013

Mathematical Theory and Modeling ISSN (Paper) ISSN (Online) Vol 3, No.3, 2013 Mahemaical Theory and Modeling ISSN -580 (Paper) ISSN 5-05 (Online) Vol, No., 0 www.iise.org The ffec of Inverse Transformaion on he Uni Mean and Consan Variance Assumpions of a Muliplicaive rror Model

More information

Cash Flow Valuation Mode Lin Discrete Time

Cash Flow Valuation Mode Lin Discrete Time IOSR Journal of Mahemaics (IOSR-JM) e-issn: 2278-5728,p-ISSN: 2319-765X, 6, Issue 6 (May. - Jun. 2013), PP 35-41 Cash Flow Valuaion Mode Lin Discree Time Olayiwola. M. A. and Oni, N. O. Deparmen of Mahemaics

More information

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan

Ground Rules. PC1221 Fundamentals of Physics I. Kinematics. Position. Lectures 3 and 4 Motion in One Dimension. A/Prof Tay Seng Chuan Ground Rules PC11 Fundamenals of Physics I Lecures 3 and 4 Moion in One Dimension A/Prof Tay Seng Chuan 1 Swich off your handphone and pager Swich off your lapop compuer and keep i No alking while lecure

More information

Single-Pass-Based Heuristic Algorithms for Group Flexible Flow-shop Scheduling Problems

Single-Pass-Based Heuristic Algorithms for Group Flexible Flow-shop Scheduling Problems Single-Pass-Based Heurisic Algorihms for Group Flexible Flow-shop Scheduling Problems PEI-YING HUANG, TZUNG-PEI HONG 2 and CHENG-YAN KAO, 3 Deparmen of Compuer Science and Informaion Engineering Naional

More information

The Optimal Stopping Time for Selling an Asset When It Is Uncertain Whether the Price Process Is Increasing or Decreasing When the Horizon Is Infinite

The Optimal Stopping Time for Selling an Asset When It Is Uncertain Whether the Price Process Is Increasing or Decreasing When the Horizon Is Infinite American Journal of Operaions Research, 08, 8, 8-9 hp://wwwscirporg/journal/ajor ISSN Online: 60-8849 ISSN Prin: 60-8830 The Opimal Sopping Time for Selling an Asse When I Is Uncerain Wheher he Price Process

More information

An introduction to the theory of SDDP algorithm

An introduction to the theory of SDDP algorithm An inroducion o he heory of SDDP algorihm V. Leclère (ENPC) Augus 1, 2014 V. Leclère Inroducion o SDDP Augus 1, 2014 1 / 21 Inroducion Large scale sochasic problem are hard o solve. Two ways of aacking

More information

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Space

Applying Genetic Algorithms for Inventory Lot-Sizing Problem with Supplier Selection under Storage Space Inernaional Journal of Indusrial and Manufacuring Engineering Applying Geneic Algorihms for Invenory Lo-Sizing Problem wih Supplier Selecion under Sorage Space Vichai Rungreunganaun and Chirawa Woarawichai

More information

in Engineering Prof. Dr. Michael Havbro Faber ETH Zurich, Switzerland Swiss Federal Institute of Technology

in Engineering Prof. Dr. Michael Havbro Faber ETH Zurich, Switzerland Swiss Federal Institute of Technology Risk and Saey in Engineering Pro. Dr. Michael Havbro Faber ETH Zurich, Swizerland Conens o Today's Lecure Inroducion o ime varian reliabiliy analysis The Poisson process The ormal process Assessmen o he

More information

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM Economic Growh & Developmen: Par 4 Verical Innovaion Models By Kiminori Masuyama Updaed on 20-04-4 :0:54 AM Page of 7 Inroducion In he previous models R&D develops producs ha are new ie imperfec subsiues

More information

This document was generated at 7:34 PM, 07/27/09 Copyright 2009 Richard T. Woodward

This document was generated at 7:34 PM, 07/27/09 Copyright 2009 Richard T. Woodward his documen was generaed a 7:34 PM, 07/27/09 Copyrigh 2009 Richard. Woodward 15. Bang-bang and mos rapid approach problems AGEC 637 - Summer 2009 here are some problems for which he opimal pah does no

More information

MATHEMATICAL DESCRIPTION OF THEORETICAL METHODS OF RESERVE ECONOMY OF CONSIGNMENT STORES

MATHEMATICAL DESCRIPTION OF THEORETICAL METHODS OF RESERVE ECONOMY OF CONSIGNMENT STORES MAHEMAICAL DESCIPION OF HEOEICAL MEHODS OF ESEVE ECONOMY OF CONSIGNMEN SOES Péer elek, József Cselényi, György Demeer Universiy of Miskolc, Deparmen of Maerials Handling and Logisics Absrac: Opimizaion

More information

6.2 Transforms of Derivatives and Integrals.

6.2 Transforms of Derivatives and Integrals. SEC. 6.2 Transforms of Derivaives and Inegrals. ODEs 2 3 33 39 23. Change of scale. If l( f ()) F(s) and c is any 33 45 APPLICATION OF s-shifting posiive consan, show ha l( f (c)) F(s>c)>c (Hin: In Probs.

More information

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims Problem Se 5 Graduae Macro II, Spring 2017 The Universiy of Nore Dame Professor Sims Insrucions: You may consul wih oher members of he class, bu please make sure o urn in your own work. Where applicable,

More information

Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing

Application of a Stochastic-Fuzzy Approach to Modeling Optimal Discrete Time Dynamical Systems by Using Large Scale Data Processing Applicaion of a Sochasic-Fuzzy Approach o Modeling Opimal Discree Time Dynamical Sysems by Using Large Scale Daa Processing AA WALASZE-BABISZEWSA Deparmen of Compuer Engineering Opole Universiy of Technology

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

More information

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations ADVANCED MATHEMATICS FOR ECONOMICS - /3 Shee 3: Di erenial equaions Check ha x() =± p ln(c( + )), where C is a posiive consan, is soluion of he ODE x () = Solve he following di erenial equaions: (a) x

More information

Math 111 Midterm I, Lecture A, version 1 -- Solutions January 30 th, 2007

Math 111 Midterm I, Lecture A, version 1 -- Solutions January 30 th, 2007 NAME: Suden ID #: QUIZ SECTION: Mah 111 Miderm I, Lecure A, version 1 -- Soluions January 30 h, 2007 Problem 1 4 Problem 2 6 Problem 3 20 Problem 4 20 Toal: 50 You are allowed o use a calculaor, a ruler,

More information

Maintenance Models. Prof. Robert C. Leachman IEOR 130, Methods of Manufacturing Improvement Spring, 2011

Maintenance Models. Prof. Robert C. Leachman IEOR 130, Methods of Manufacturing Improvement Spring, 2011 Mainenance Models Prof Rober C Leachman IEOR 3, Mehods of Manufacuring Improvemen Spring, Inroducion The mainenance of complex equipmen ofen accouns for a large porion of he coss associaed wih ha equipmen

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION ECON 841 T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 211 EXAMINATION This exam has wo pars. Each par has wo quesions. Please answer one of he wo quesions in each par for a

More information

SZG Macro 2011 Lecture 3: Dynamic Programming. SZG macro 2011 lecture 3 1

SZG Macro 2011 Lecture 3: Dynamic Programming. SZG macro 2011 lecture 3 1 SZG Macro 2011 Lecure 3: Dynamic Programming SZG macro 2011 lecure 3 1 Background Our previous discussion of opimal consumpion over ime and of opimal capial accumulaion sugges sudying he general decision

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

Seminar 4: Hotelling 2

Seminar 4: Hotelling 2 Seminar 4: Hoelling 2 November 3, 211 1 Exercise Par 1 Iso-elasic demand A non renewable resource of a known sock S can be exraced a zero cos. Demand for he resource is of he form: D(p ) = p ε ε > A a

More information

On the Optimal Policy Structure in Serial Inventory Systems with Lost Sales

On the Optimal Policy Structure in Serial Inventory Systems with Lost Sales On he Opimal Policy Srucure in Serial Invenory Sysems wih Los Sales Woonghee Tim Huh, Columbia Universiy Ganesh Janakiraman, New York Universiy May 21, 2008 Revised: July 30, 2008; December 23, 2008 Absrac

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

PROOF FOR A CASE WHERE DISCOUNTING ADVANCES THE DOOMSDAY. T. C. Koopmans

PROOF FOR A CASE WHERE DISCOUNTING ADVANCES THE DOOMSDAY. T. C. Koopmans PROOF FOR A CASE WHERE DISCOUNTING ADVANCES THE DOOMSDAY T. C. Koopmans January 1974 WP-74-6 Working Papers are no inended for disribuion ouside of IIASA, and are solely for discussion and informaion purposes.

More information

IB Physics Kinematics Worksheet

IB Physics Kinematics Worksheet IB Physics Kinemaics Workshee Wrie full soluions and noes for muliple choice answers. Do no use a calculaor for muliple choice answers. 1. Which of he following is a correc definiion of average acceleraion?

More information

Measuring the Bullwhip Effect: Discrepancy and Alignment between Information and Material Flows

Measuring the Bullwhip Effect: Discrepancy and Alignment between Information and Material Flows Measuring he Bullwhip Effec: Discrepancy and Alignmen beween Informaion and Maerial Flows i Chen Wei uo Kevin Shang S.C. Johnson Graduae School of Managemen, Cornell Universiy, Ihaca, New York 14853, USA

More information

Problem Set on Differential Equations

Problem Set on Differential Equations Problem Se on Differenial Equaions 1. Solve he following differenial equaions (a) x () = e x (), x () = 3/ 4. (b) x () = e x (), x (1) =. (c) xe () = + (1 x ()) e, x () =.. (An asse marke model). Le p()

More information

Introduction to Probability and Statistics Slides 4 Chapter 4

Introduction to Probability and Statistics Slides 4 Chapter 4 Inroducion o Probabiliy and Saisics Slides 4 Chaper 4 Ammar M. Sarhan, asarhan@mahsa.dal.ca Deparmen of Mahemaics and Saisics, Dalhousie Universiy Fall Semeser 8 Dr. Ammar Sarhan Chaper 4 Coninuous Random

More information

1.6. Slopes of Tangents and Instantaneous Rate of Change

1.6. Slopes of Tangents and Instantaneous Rate of Change 1.6 Slopes of Tangens and Insananeous Rae of Change When you hi or kick a ball, he heigh, h, in meres, of he ball can be modelled by he equaion h() 4.9 2 v c. In his equaion, is he ime, in seconds; c represens

More information

Intermediate Macro In-Class Problems

Intermediate Macro In-Class Problems Inermediae Macro In-Class Problems Exploring Romer Model June 14, 016 Today we will explore he mechanisms of he simply Romer model by exploring how economies described by his model would reac o exogenous

More information

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

Lecture 4 Notes (Little s Theorem)

Lecture 4 Notes (Little s Theorem) Lecure 4 Noes (Lile s Theorem) This lecure concerns one of he mos imporan (and simples) heorems in Queuing Theory, Lile s Theorem. More informaion can be found in he course book, Bersekas & Gallagher,

More information

Effect of shortage level constraint on finite production rate model with rework

Effect of shortage level constraint on finite production rate model with rework Journal of Scienific & Indusrial Research J SCI IND RES VOL 67 FERUARY 008 Vol. 67, Feruary 008, pp.-6 Effec of shorage level consrain on finie producion rae model wih rework Yuan-Shyi eer Chiu, Singa

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

Fractional Method of Characteristics for Fractional Partial Differential Equations

Fractional Method of Characteristics for Fractional Partial Differential Equations Fracional Mehod of Characerisics for Fracional Parial Differenial Equaions Guo-cheng Wu* Modern Teile Insiue, Donghua Universiy, 188 Yan-an ilu Road, Shanghai 51, PR China Absrac The mehod of characerisics

More information

Sumudu Decomposition Method for Solving Fractional Delay Differential Equations

Sumudu Decomposition Method for Solving Fractional Delay Differential Equations vol. 1 (2017), Aricle ID 101268, 13 pages doi:10.11131/2017/101268 AgiAl Publishing House hp://www.agialpress.com/ Research Aricle Sumudu Decomposiion Mehod for Solving Fracional Delay Differenial Equaions

More information

Determining a production run time for an imperfect production-inventory system with scrap

Determining a production run time for an imperfect production-inventory system with scrap 74 Journal of Scienific & Indusrial Researc J SCI IN RES VOL 66 SETEMBER 007 Vol. 66, Sepember 007, pp. 74-75 eermining a producion run ime for an imperfec producion-invenory sysem wi scrap Gary C Lin

More information

IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION

IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION THERMAL SCIENCE, Year 015, Vol. 19, No. 4, pp. 1183-1187 1183 IMPROVED HYPERBOLIC FUNCTION METHOD AND EXACT SOLUTIONS FOR VARIABLE COEFFICIENT BENJAMIN-BONA-MAHONY-BURGERS EQUATION by Hong-Cai MA a,b*,

More information

BU Macro BU Macro Fall 2008, Lecture 4

BU Macro BU Macro Fall 2008, Lecture 4 Dynamic Programming BU Macro 2008 Lecure 4 1 Ouline 1. Cerainy opimizaion problem used o illusrae: a. Resricions on exogenous variables b. Value funcion c. Policy funcion d. The Bellman equaion and an

More information

Solutions Problem Set 3 Macro II (14.452)

Solutions Problem Set 3 Macro II (14.452) Soluions Problem Se 3 Macro II (14.452) Francisco A. Gallego 04/27/2005 1 Q heory of invesmen in coninuous ime and no uncerainy Consider he in nie horizon model of a rm facing adjusmen coss o invesmen.

More information