EFFECT OF PERMISSIBLE DELAY ON TWO-WAREHOUSE INVENTORY MODEL FOR DETERIORATING ITEMS WITH SHORTAGES
|
|
- Tyler Mason
- 5 years ago
- Views:
Transcription
1 Volume, ssue 3, Mach 03 SSN EFFEC OF PERMSSBLE DELAY ON WO-WAREHOUSE NVENORY MODEL FOR DEERORANG EMS WH SHORAGES D. Ajay Singh Yadav, Ms. Anupam Swami Assisan Pofesso, Depamen of Mahemaics, SRM Univesiy NCR Campus, Ghaziabad, U.P Assisan Pofesso, Depamen of Mahemaics, Gov. Degee College, Sambhal, U.P ABSRAC n his pape we developed an invenoy sysem wih he effec of pemissible delay in paymens and sock dependen demand. he occuences of shoages ae naual phenomenon allowed in invenoy. heefoe, shoages ae occuing wih paial backlogging. Backlogging ae is aken as waiing ime fo he nex eplenishmen. Holding cos is vaiable and i is linea inceasing funcion of ime. Numeical example is pesened o illusae he model and he sensiiviy analysis of he opimal wih espec o paamees of he sysem is also caied ou.. NRODUCON n oday's business ansacions, i is fequenly obseved ha a cusome is allowed some gace peiod befoe seling he accoun wih he supplie o he poduce. he cusome does no have o pay any inees duing his fixed peiod bu if he paymen ges beyond he supplie will chage he peiod inees. his aangemen comes ou o be vey advanageous o he cusome as he may delay he paymen ill he end of he pemissible delay peiod. Duing he peiod he may sell he goods, accumulae evenues on he sales and ean inees on ha evenue. hus, i makes economic sense fo he cusome o delay he paymen of he eplenishmen accoun up o he las day of he selemen peiod allowed by he supplie o he poduce. his concep is known as pemissible delay in paymens. Goyal (985) was he fis o develop he economic ode quaniy unde condiions of pemissible delay in paymens. Auho has assumed ha he uni selling pice and he puchase pice ae equal. he uni selling pice should be geae han he uni puchasing pice. Aggawal and Jaggi (995) developed odeing policies of deeioaing iems unde pemissible delay in paymens. he demand and deeioaion wee consumed as consan. Jamal e al. (997) developed a model o deemine an opimal odeing policy fo deeioaing iems unde pemissible delay of paymen and allowable shoage. Diffeen faces of he pemissible delays in paymen ae discussed, and his genealized model exhibis a se of soluions ha educes o an exising model. Kun-Jen Chung (998) discussed he economic quaniy unde condiions of pemissible delay in paymens. Jamal e al. (000) pesened opimal paymen ime fo a eaile unde pemied delay of paymen by he wholesale. he wholesale allowed a pemissible cedi peiod o pay he dues wihou paying any inees fo he eaile. n he sudy, a eaile model was consideed wih a consan ae of deeioaion. Dye (00) developed a deeioaing invenoy model wih sock-dependen demand and paial backlogging. he condiions of pemissible delay in paymens wee also aken ino consideaion. Chung and Liao (004) deals he poblem of deemining he economic ode quaniy fo exponenially deeioaing iems unde he condiions of pemissible delay in paymens. n addiion, he objecive funcion is modeled as a oal vaiable cosminimizaion poblem. eng e al. (005) developed vaious EOQ models fo a eaile when he supplie offes a pemissible delay in paymens. n his pape, hey complemen he shocoming of he pevious models by consideing he diffeence beween he selling pice and he puchase cos. Soni e al. (006) fomulae opimal odeing policies fo he eaile when he supplie offes pogessive cedi peiods o sele he accoun. he objecive funcion o be opimized is consideed as pesen value of all fuue cash-ou-flows. Singh, S.R. and Singh,.J. (008) developed he peishable invenoy model wih quadaic demand, paial backlogging and pemissible delay in paymens. Soni, H. e al. (008) developed a mahemaical model o fomulae opimal odeing policies fo eaile when demand is paially consan and paially dependen on he sock, and he supplie offes pogessive cedi peiods o sele he accoun. his chape poposed a wo soage invenoy model fo deeioaing iems wih invenoy level dependen demand. Shoages ae allowed and paially backlogged. Backlogging ae is aken as waiing ime fo he nex eplenishmen. he effec of pemissible delay in paymens is also aken in his sudy. Holding cos is vaiable and i is linea Volume, ssue 3, Mach 03 Page 65
2 Volume, ssue 3, Mach 03 SSN inceasing funcion of ime. Numeical example is pesened o illusae he model and he sensiiviy analysis of he opimal wih espec o paamees of he sysem is also caied ou, which is followed by concluding emaks.. ASSUMPONS AND NOAONS he mahemaical model is based on he following assumpions:. Lead-ime is zeo.. he iniial invenoy is zeo. 3. he demand ae D () is deeminisic and is a known funcion of insananeous sock level; he funcion D () is given by: Whee > 0 and 0 < <. 4. Replenishmen ae is infinie and eplenishmens ae insananeous. 5. he owned waehouse (OW) has a fixed limied capaciy of W unis. 6. he ened waehouse (RW) has unlimied capaciy. 7. he iems of OW ae saed o consume when RW is empy. 8. he invenoy coss (including holding cos and deeioaion cos) in RW ae highe han hose in OW. 9. Shoages ae pemied and he backlogging ae is defined o be /[+δ(-)] when he invenoy is negaive. he backlogging paamee δ is posiive consan. n addiion, he following noaions ae used houghou his pape: L epesens an invenoy sysem wih an OW only. L epesens an invenoy sysem wih boh OW and RW. c 0 he eplenishmen cos pe ode. c d deeioaion cos pe uni. c h he invenoy holding cos pe uni pe uni ime in OW. he invenoy holding cos pe uni pe uni ime in RW. c h ( ), 0 D,, Noe ha implies assumpion 6, c h + c d > c h + c d. c s shoage cos pe uni ime. he deeioaion ae in OW, whee 0 < <. he deeioaion ae in RW, whee 0 < <. S he highes sock level a RW and OW. B he maximum shoage level. P puchase cos pe uni. M pemissible delay peiod in seled he accouns. c inees chages pe upee pe yea. e inees ha can be eaned on he sales evenue of unis sold duing he pemissible delay peiod ( e < c ). W soage capaciy of OW, fixed consan and W < S. 0 () he invenoy level in OW a any ime. () he invenoy level in RW a any ime. 3. MAHEMACAL FORMULAON Hee, we discuss he deeminisic invenoy model fo deeioaing iems wih wo-waehouse whee shoages occu a he end of he cycle. Fo a L sysem (see fig. (a)), a ime =0, a lo size of S unis enes he L sysem in which W unis ae kep in OW and S-W unis in RW. he goods of OW ae consumed only when RW is empy. Duing he ime ineval [0, ], he invenoy S-W in RW deceases due o demand and deeioaion and i vanishes a =. n OW, he invenoy W deceases duing [0, ] due o deeioaion only, bu duing [, ] he invenoy is depleed due o boh demand and deeioaion. A ime =. he invenoy in OW eaches zeo and heeafe he shoages occu duing he ime ineval [, ]. he shoage quaniy is supplied o cusomes a he beginning of he nex cycle. he objecive of he invenoy sysem is o deemine he imings of, and in ode o keep he oal elevan cos pe uni of ime as low as possible. As o a L sysem (see fig. (b)), he fim eceives W unis in OW a =0. he invenoy W depleed due o boh demand and deeioaion, and eaches zeo a =, and heeafe he shoages occus duing [, ]. Noe ha he L sysem hee is, in fac, equivalen o he L sysem wih =0. Volume, ssue 3, Mach 03 Page 66
3 Volume, ssue 3, Mach 03 SSN Fo a L sysem, he invenoy level a RW duing he ime ineval [0, ] is depleed by he combined effec of demand and deeioaion, he invenoy level a ime [0, ], (), is govening by he following diffeenial equaion: d, 0 d (7.) wih he bounday condiion he ( )=0. Solving he diffeenial equaion (), we have e, 0 (7.) Duing he ime ineval [0, ], as he demand is mee fom RW, he sock a OW deceases due o deeioaion only. hus, he invenoy level a ime [0, ], 0 () is govened by he following diffeenial equaion: d 0, 0 (7.3) d 0 wih he iniial condiion 0 (0)=W. Again, duing he ime ineval [, ], he invenoy level a OW is depleed by he combined effec of demand and deeioaion, he invenoy level a ime [, ], 0 (), is govened by he following diffeenial equaion: d 0 0, (7.4) d wih he bounday condiion 0 ( )=0. Solving he diffeenial equaion (7.3) and (7.4), we have W e, 0 (7.5) 0 0 e, (7.6) Due o coninuiy of 0 () a =, if follows eq. (7.5) and (7.6), we have 0 W e e (7.7) Fuhemoe, duing he peiod [, ], he behavio of he invenoy sysem can be descibed by d 0, d (7.8) wih iniial condiion 0 ( )=0, we have 0 n n, (7.9) Fom he equaions (7.), (7.5), (7.6) and (7.0), he oal pe cycle consiss of he elemens:. Odeing cos pe cycle = c 0. Holding cos pe cycle in RW ( F h ) d F h ( ) ( ) 3. Holding cos pe cycle in OW 0 ( ) e ( ) ( ) ( H ) 0 d ( H ) 0 d 0 W H e ( e ) e e Volume, ssue 3, Mach 03 Page 67
4 Volume, ssue 3, Mach 03 SSN Shoage cos pe cycle s d s n he amoun of deeioaed iems in boh RW and OW ae And D W 5. Deeioaion cos pe cycle P D D P e W 6. Oppouniy cos due o los sale pe cycle 0 0 O C d n D e Case : when M n his siuaion, since he lengh of peiod wih posiive sock is lage hen he pemissible delay peiod, he buye can use he sale evenue o ean inees a an annual ae e in (0, ). he inees ean E is E P e d d 0 P (7.0) e 3 3 e Howeve beyond he pemissible delay peiod, he unsold sock is supposed o be financial wih an annual ae and inees payable is given by P M P P 0 d e M (7.) M heefoe oal aveage cos pe uni ime is O C H C R W H O O W S C O C D C P E C, F { h c e ( ) ( ) ( ) ( ) ( ) 0 W e e H e ( e ) s n P e W 3 P M P e 3 e e M (7.) Fo minimizing he oal elevan cos pe uni ime, he appoximae opimal values of and (denoed by * and *) can be obained by solving he following equaions: C C 0 and 0 (7.3) which also saisfies he condiions: C C * * 0 and 0, * *, and C C C 0 *, * Nex by using he opimal values * and *, he appoximae opimal values of (denoed by *) and he appoximae minimum oal cos pe uni ime can be obained fom (3) especively. Case-: when M> Volume, ssue 3, Mach 03 Page 68
5 Volume, ssue 3, Mach 03 SSN Since M> he buye pays an inees bu eans inees a an annual ae e duing he peiod (0, M), inees eans in his case, denoed by E, is given by E P e ( ) d d M d d 0 0 P e 3 3 e M 3 e hen he oal aveage cos pe uni ime is (7.4) C, O C H C R W H C O W S C O C D C E F ( ) h W c 0 e ( ) ( ) H e ( e ) ( ) ( ) e e s n P e W P e 3 3 e 3 M e (7.5) Fo minimizing he oal elevan cos pe uni ime, he appoximae opimal values of and (denoed by * and *) can be obained by solving he following equaions: C C 0 a n d 0 (7.6) which also saisfies he condiions: C C * * 0 a nd 0, * *, and C C C 0 * *, Nex by using he opimal values * and *, he appoximae opimal values of (denoed by *) and he appoximae minimum oal cos pe uni ime can be obained fom (7.5) especively. 4. NUMERCAL EXAMPLES o illusae he esuls, we apply he poposed mehod o solve he following numeical example: Le α = 350, β = 0, c o = 60, c h = 8, c h = 0, W = 00, γ = 0.05, θ = 0.06, c s = 3, = 0.5, e = 0., P = 68, M = 0.3, c d = 0.5. he opimal values of,,, C and C have been compued. Compued esuls ae displayed in able 7.. Volume, ssue 3, Mach 03 Page 69
6 Volume, ssue 3, Mach 03 SSN able : M M > = =.0908 = C = = 0.00 = =.0546 C = Paamees Pecenage change in paamees able : Sensiiviy analysis: M M > C Pecenage C Pecenage change in change in oal oal cos cos C c o D W c h OBSERVAONS. Fom able 7. and able 7., i is obseved ha C is always less hen C wih espec o he change in evey paamee. his is due o in he second case M >. So, we have no paid any inees and we ean some inees.. As he puchasing cos (P) inceases, he oal cos is deceases in boh cases. 3. As he odeing cos inceases (c 0 ), he oal invenoy cos is inceases in boh cases. 4. As he demand ae inceases (D), he oal invenoy cos is decease in boh cases. 5. As he capaciy of he own waehouse inceases, he oal invenoy cos is also inceases in boh cases. 6. As he holding cos of own waehouse inceases, he oal invenoy cos is also inceases in boh cases. 7. he oal invenoy cos is vey sensiive wih espec o W and vey less effeced by he vaiaion of c CONCLUSON n his sudy an invenoy sysem is developed fo decaying iems wih wo-waehouses and sock dependen demand. Shoages ae pemiing in his model and paially backlogged. And backlogging ae is ime dependen and i is waiing ime fo he nex eplenishmen. he condiions of pemissible delay in paymens and ime dependen holding cos ae also aken ino accoun. Holding coss and deeioaion coss ae diffeen in OW and RW due o diffeen pesevaion envionmens. he invenoy coss (including holding cos and deeioaion cos) in RW ae assumed o be highe han hose in OW. o educe he invenoy coss, i will be economical fo fims o soe he goods in OW o he maximum level and afe ha he emaining goods soe in RW, bu clea he socks in RW befoe OW. So ha en of ened waehouse is minimum. Fom he viewpoin of he coss, decisions ules o find he opimal ode cycle ime conains wo cases: (i) M (ii) M >. Volume, ssue 3, Mach 03 Page 70
7 Volume, ssue 3, Mach 03 SSN Finally, a numeical example in able is sudied o illusae he heoeical esuls. Fom he above able and, i is obseved ha he oal invenoy cos C is always less hen C wih espec o he change in evey paamee. his is due o in he second case M >. So, we have no paid any inees and we ean some inees. So, we conclude ha he effec of pemissible delay canno be ignoed. hus, his model incopoaes some ealisic feaues ha ae likely o be associaed wih some kinds of invenoy. he model is vey useful in hei eail business. can be used fo eleconic componens, fashionable clohes, domesic goods and ohe poducs which ae moe likely wih he chaaceisics above. n fuue eseach on his poblem, i would be of inees o add effec of moe ealisic demand ae in he model (e. g. ime-vaying and sock-dependen demand paens). On he ohe hand, he possible exension of his wok may elax he assumpion of consan deeioaion ae. REFERENCES [] Aggawal, S.P. and Jaggi, C.K. (995): Odeing policies of deeioaing iems unde pemissible delay in paymens, Jounal of Opeaional Reseach Sociey (J.O.R.S.), 46, [] Chung, K.J. (998): A heoem on he deeminaion of economic ode quaniy unde condiions of pemissible delay in paymens, Compues & Opeaions Reseach, 5,, [3] Chung, K.J. and Liao, J.J. (004): Lo sizing decision unde ade cedi depending on he odeing quaniy, C.O.R., 3, [4] Dye, C.Y. (00): A deeioaing invenoy model wih sock dependen demand and paial backlogging unde condiions of pemissible delay in paymens, Opseach, 39(3&4), [5] Goyal, S.K. (985): Economic ode quaniy unde condiions of pemissible delay in paymens, J.O.R.S., 36, [6] Jamal, A.M.M., Sake, B.R. and Wang, S. (997): An odeing policy fo deeioaing iems wih allowable shoage and pemissible delay in paymen, J.O.R.S., 48, [7] Jamal, A.M.M, Sake, B.R. and Wang, S. (000): Opimal paymen ime fo a eaile unde pemied delay of paymen by he wholesale,.j.p.e., 66, [8] Soni, H. e al. (006): An EOQ Model Fo Pogessive Paymen Scheme Unde DCF Appoach, Asia-Pacific Jounal of Opeaional Reseach, 3, 4, [9] Soni, H. and Shah, N.H. (008): Opimal odeing policy fo sock-dependen demand unde pogessive paymen scheme, E.J.O.R., 84 (), [0] Singh, S.R. and Singh,.J. (008): Peishable invenoy model wih quadaic demand, paial backlogging and pemissible delay in paymens, nenaional Review of Pue and Applied Mahemaics,, [] eng, J.., Chang, C.. and Goyal, S.K. (005): Opimal picing and odeing policy unde pemissible delay in paymens,.j.p.e., 97, -9. D. Ajay Singh Yadav has done M.Sc. in Mahemaics and Ph.D. in invenoy Modelling, he has ove 6 yeas expeience in eaching Mahemaics in deffeen Engineeing Colleges. Pesenly he is Assisan Pofesso in SRM Univesiy NCR Campus Ghaziabad Ms. Anupam Swami has done M.Sc,M.Phil. in Mahemaics and pusing Ph.D in invenoy Modelling, she has ove 5 yeas expeience in eaching Mahemaics in deffeen Degee Colleges. Pesenly she is Assisan Pofesso in Depamen of Mahemaics, Gov. Degee College, Sambhal, U.P Volume, ssue 3, Mach 03 Page 7
An Inventory Model for Two Warehouses with Constant Deterioration and Quadratic Demand Rate under Inflation and Permissible Delay in Payments
Ameican Jounal of Engineeing Reseach (AJER) 16 Ameican Jounal of Engineeing Reseach (AJER) e-issn: 3-847 p-issn : 3-936 Volume-5, Issue-6, pp-6-73 www.aje.og Reseach Pape Open Access An Inventoy Model
More informationGeneral Non-Arbitrage Model. I. Partial Differential Equation for Pricing A. Traded Underlying Security
1 Geneal Non-Abiage Model I. Paial Diffeenial Equaion fo Picing A. aded Undelying Secuiy 1. Dynamics of he Asse Given by: a. ds = µ (S, )d + σ (S, )dz b. he asse can be eihe a sock, o a cuency, an index,
More informationSections 3.1 and 3.4 Exponential Functions (Growth and Decay)
Secions 3.1 and 3.4 Eponenial Funcions (Gowh and Decay) Chape 3. Secions 1 and 4 Page 1 of 5 Wha Would You Rahe Have... $1million, o double you money evey day fo 31 days saing wih 1cen? Day Cens Day Cens
More informationLecture-V Stochastic Processes and the Basic Term-Structure Equation 1 Stochastic Processes Any variable whose value changes over time in an uncertain
Lecue-V Sochasic Pocesses and he Basic Tem-Sucue Equaion 1 Sochasic Pocesses Any vaiable whose value changes ove ime in an unceain way is called a Sochasic Pocess. Sochasic Pocesses can be classied as
More informationOn Control Problem Described by Infinite System of First-Order Differential Equations
Ausalian Jounal of Basic and Applied Sciences 5(): 736-74 ISS 99-878 On Conol Poblem Descibed by Infinie Sysem of Fis-Ode Diffeenial Equaions Gafujan Ibagimov and Abbas Badaaya J'afau Insiue fo Mahemaical
More informationExponential and Logarithmic Equations and Properties of Logarithms. Properties. Properties. log. Exponential. Logarithmic.
Eponenial and Logaihmic Equaions and Popeies of Logaihms Popeies Eponenial a a s = a +s a /a s = a -s (a ) s = a s a b = (ab) Logaihmic log s = log + logs log/s = log - logs log s = s log log a b = loga
More informationSTUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE WEIBULL DISTRIBUTION
Inenaional Jounal of Science, Technology & Managemen Volume No 04, Special Issue No. 0, Mach 205 ISSN (online): 2394-537 STUDY OF THE STRESS-STRENGTH RELIABILITY AMONG THE PARAMETERS OF GENERALIZED INVERSE
More informationLecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation
Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion
More informationCombinatorial Approach to M/M/1 Queues. Using Hypergeometric Functions
Inenaional Mahemaical Foum, Vol 8, 03, no 0, 463-47 HIKARI Ld, wwwm-hikaicom Combinaoial Appoach o M/M/ Queues Using Hypegeomeic Funcions Jagdish Saan and Kamal Nain Depamen of Saisics, Univesiy of Delhi,
More informationAn 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 informationDeteriorating 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 informationLecture 17: Kinetics of Phase Growth in a Two-component System:
Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien
More informationInternational 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 informationAn Automatic Door Sensor Using Image Processing
An Auomaic Doo Senso Using Image Pocessing Depamen o Elecical and Eleconic Engineeing Faculy o Engineeing Tooi Univesiy MENDEL 2004 -Insiue o Auomaion and Compue Science- in BRNO CZECH REPUBLIC 1. Inoducion
More informationOn 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 informationMEEN 617 Handout #11 MODAL ANALYSIS OF MDOF Systems with VISCOUS DAMPING
MEEN 67 Handou # MODAL ANALYSIS OF MDOF Sysems wih VISCOS DAMPING ^ Symmeic Moion of a n-dof linea sysem is descibed by he second ode diffeenial equaions M+C+K=F whee () and F () ae n ows vecos of displacemens
More informationInternational 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 informationA 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 informationProduction 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 informationInventory 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 informationMATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH
Fundamenal Jounal of Mahemaical Phsics Vol 3 Issue 013 Pages 55-6 Published online a hp://wwwfdincom/ MATHEMATICAL FOUNDATIONS FOR APPROXIMATING PARTICLE BEHAVIOUR AT RADIUS OF THE PLANCK LENGTH Univesias
More informationEOQ Model with Time Induced Demand, Trade Credits and Price Discount on Shortages: A Periodic Review
Global Journal of Pure and Applied Mahemaics. ISSN 0973-768 Volume 3, Number 8 (07, pp. 396-3977 Research India Publicaions hp://www.ripublicaion.com EOQ Model wih ime Induced Demand, rade Credis and Price
More information7 Wave Equation in Higher Dimensions
7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,
More informationWORK POWER AND ENERGY Consevaive foce a) A foce is said o be consevaive if he wok done by i is independen of pah followed by he body b) Wok done by a consevaive foce fo a closed pah is zeo c) Wok done
More informationOn The Estimation of Two Missing Values in Randomized Complete Block Designs
Mahemaical Theoy and Modeling ISSN 45804 (Pape ISSN 505 (Online Vol.6, No.7, 06 www.iise.og On The Esimaion of Two Missing Values in Randomized Complee Bloc Designs EFFANGA, EFFANGA OKON AND BASSE, E.
More informationKey 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 informationAn 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 informationThe Global Trade and Environment Model: GTEM
The Global Tade and Envionmen Model: A pojecion of non-seady sae daa using Ineempoal GTEM Hom Pan, Vivek Tulpulé and Bian S. Fishe Ausalian Bueau of Agiculual and Resouce Economics OBJECTIVES Deive an
More informationAn 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 informationInternational Journal of Mathematical Archive-3(12), 2012, Available online through ISSN
Intenational Jounal of Mathematical Achive-3(), 0, 480-4805 Available online though www.ijma.info ISSN 9 504 STATISTICAL QUALITY CONTROL OF MULTI-ITEM EOQ MOEL WITH VARYING LEAING TIME VIA LAGRANGE METHO
More informationInternational Journal of Pure and Applied Sciences and Technology
In. J. Pue Appl. Sci. Technol., 4 (211, pp. 23-29 Inenaional Jounal of Pue and Applied Sciences and Technology ISS 2229-617 Available online a www.ijopaasa.in eseach Pape Opizaion of he Uiliy of a Sucual
More informationMonochromatic Wave over One and Two Bars
Applied Mahemaical Sciences, Vol. 8, 204, no. 6, 307-3025 HIKARI Ld, www.m-hikai.com hp://dx.doi.og/0.2988/ams.204.44245 Monochomaic Wave ove One and Two Bas L.H. Wiyano Faculy of Mahemaics and Naual Sciences,
More informationReinforcement learning
Lecue 3 Reinfocemen leaning Milos Hauskech milos@cs.pi.edu 539 Senno Squae Reinfocemen leaning We wan o lean he conol policy: : X A We see examples of x (bu oupus a ae no given) Insead of a we ge a feedback
More informationLecture 22 Electromagnetic Waves
Lecue Elecomagneic Waves Pogam: 1. Enegy caied by he wave (Poyning veco).. Maxwell s equaions and Bounday condiions a inefaces. 3. Maeials boundaies: eflecion and efacion. Snell s Law. Quesions you should
More information156 There are 9 books stacked on a shelf. The thickness of each book is either 1 inch or 2
156 Thee ae 9 books sacked on a shelf. The hickness of each book is eihe 1 inch o 2 F inches. The heigh of he sack of 9 books is 14 inches. Which sysem of equaions can be used o deemine x, he numbe of
More information, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t
Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission
More informationResearch on the Algorithm of Evaluating and Analyzing Stationary Operational Availability Based on Mission Requirement
Reseach on he Algoihm of Evaluaing and Analyzing Saionay Opeaional Availabiliy Based on ission Requiemen Wang Naichao, Jia Zhiyu, Wang Yan, ao Yilan, Depamen of Sysem Engineeing of Engineeing Technology,
More informationThe Production of Polarization
Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview
More informationThe sudden release of a large amount of energy E into a background fluid of density
10 Poin explosion The sudden elease of a lage amoun of enegy E ino a backgound fluid of densiy ceaes a song explosion, chaaceized by a song shock wave (a blas wave ) emanaing fom he poin whee he enegy
More informationDeteriorating 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 informationKINEMATICS OF RIGID BODIES
KINEMTICS OF RIGID ODIES In igid body kinemaics, we use he elaionships govening he displacemen, velociy and acceleaion, bu mus also accoun fo he oaional moion of he body. Descipion of he moion of igid
More informationComputer Propagation Analysis Tools
Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion
More informationCircular Motion. Radians. One revolution is equivalent to which is also equivalent to 2π radians. Therefore we can.
1 Cicula Moion Radians One evoluion is equivalen o 360 0 which is also equivalen o 2π adians. Theefoe we can say ha 360 = 2π adians, 180 = π adians, 90 = π 2 adians. Hence 1 adian = 360 2π Convesions Rule
More informationAN EVOLUTIONARY APPROACH FOR SOLVING DIFFERENTIAL EQUATIONS
AN EVOLUTIONARY APPROACH FOR SOLVING DIFFERENTIAL EQUATIONS M. KAMESWAR RAO AND K.P. RAVINDRAN Depamen of Mechanical Engineeing, Calicu Regional Engineeing College, Keala-67 6, INDIA. Absac:- We eploe
More informationENGI 4430 Advanced Calculus for Engineering Faculty of Engineering and Applied Science Problem Set 9 Solutions [Theorems of Gauss and Stokes]
ENGI 44 Avance alculus fo Engineeing Faculy of Engineeing an Applie cience Poblem e 9 oluions [Theoems of Gauss an okes]. A fla aea A is boune by he iangle whose veices ae he poins P(,, ), Q(,, ) an R(,,
More informationRisk tolerance and optimal portfolio choice
Risk oleance and opimal pofolio choice Maek Musiela BNP Paibas London Copoae and Invesmen Join wok wih T. Zaiphopoulou (UT usin) Invesmens and fowad uiliies Pepin 6 Backwad and fowad dynamic uiliies and
More informationElastic-Plastic Deformation of a Rotating Solid Disk of Exponentially Varying Thickness and Exponentially Varying Density
Poceedings of he Inenaional MuliConfeence of Enginees Compue Scieniss 6 Vol II, IMECS 6, Mach 6-8, 6, Hong Kong Elasic-Plasic Defomaion of a Roaing Solid Dis of Exponenially Vaying hicness Exponenially
More informationFinal Exam. Tuesday, December hours, 30 minutes
an Faniso ae Univesi Mihael Ba ECON 30 Fall 04 Final Exam Tuesda, Deembe 6 hous, 30 minues Name: Insuions. This is losed book, losed noes exam.. No alulaos of an kind ae allowed. 3. how all he alulaions.
More informationExcel-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 informationInventory 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 informationOrthotropic Materials
Kapiel 2 Ohoopic Maeials 2. Elasic Sain maix Elasic sains ae elaed o sesses by Hooke's law, as saed below. The sesssain elaionship is in each maeial poin fomulaed in he local caesian coodinae sysem. ε
More informationPHYS PRACTICE EXAM 2
PHYS 1800 PRACTICE EXAM Pa I Muliple Choice Quesions [ ps each] Diecions: Cicle he one alenaive ha bes complees he saemen o answes he quesion. Unless ohewise saed, assume ideal condiions (no ai esisance,
More informationEssential 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 informationVariance and Covariance Processes
Vaiance and Covaiance Pocesses Pakash Balachandan Depamen of Mahemaics Duke Univesiy May 26, 2008 These noes ae based on Due s Sochasic Calculus, Revuz and Yo s Coninuous Maingales and Bownian Moion, Kaazas
More informationThe shortest path between two truths in the real domain passes through the complex domain. J. Hadamard
Complex Analysis R.G. Halbud R.Halbud@ucl.ac.uk Depamen of Mahemaics Univesiy College London 202 The shoes pah beween wo uhs in he eal domain passes hough he complex domain. J. Hadamad Chape The fis fundamenal
More informationt + t sin t t cos t sin t. t cos t sin t dt t 2 = exp 2 log t log(t cos t sin t) = Multiplying by this factor and then integrating, we conclude that
ODEs, Homework #4 Soluions. Check ha y ( = is a soluion of he second-order ODE ( cos sin y + y sin y sin = 0 and hen use his fac o find all soluions of he ODE. When y =, we have y = and also y = 0, so
More informationChapter 2. First Order Scalar Equations
Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.
More informationExtremal problems for t-partite and t-colorable hypergraphs
Exemal poblems fo -paie and -coloable hypegaphs Dhuv Mubayi John Talbo June, 007 Absac Fix ineges and an -unifom hypegaph F. We pove ha he maximum numbe of edges in a -paie -unifom hypegaph on n veices
More information336 ERIDANI kfk Lp = sup jf(y) ; f () jj j p p whee he supemum is aken ove all open balls = (a ) inr n, jj is he Lebesgue measue of in R n, () =(), f
TAMKANG JOURNAL OF MATHEMATIS Volume 33, Numbe 4, Wine 2002 ON THE OUNDEDNESS OF A GENERALIED FRATIONAL INTEGRAL ON GENERALIED MORREY SPAES ERIDANI Absac. In his pape we exend Nakai's esul on he boundedness
More informationHOTELLING LOCATION MODEL
HOTELLING LOCATION MODEL THE LINEAR CITY MODEL The Example of Choosing only Locaion wihou Price Compeiion Le a be he locaion of rm and b is he locaion of rm. Assume he linear ransporaion cos equal o d,
More informationStochastic 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 informationA STOCHASTIC MODELING FOR THE UNSTABLE FINANCIAL MARKETS
A STOCHASTIC MODELING FOR THE UNSTABLE FINANCIAL MARKETS Assoc. Pof. Romeo Negea Ph. D Poliehnica Univesiy of Timisoaa Depamen of Mahemaics Timisoaa, Romania Assoc. Pof. Cipian Peda Ph. D Wes Univesiy
More informationSystem of Linear Differential Equations
Sysem of Linear Differenial Equaions In "Ordinary Differenial Equaions" we've learned how o solve a differenial equaion for a variable, such as: y'k5$e K2$x =0 solve DE yx = K 5 2 ek2 x C_C1 2$y''C7$y
More informationChapter 7. Interference
Chape 7 Inefeence Pa I Geneal Consideaions Pinciple of Supeposiion Pinciple of Supeposiion When wo o moe opical waves mee in he same locaion, hey follow supeposiion pinciple Mos opical sensos deec opical
More informationAn Open cycle and Closed cycle Gas Turbine Engines. Methods to improve the performance of simple gas turbine plants
An Open cycle and losed cycle Gas ubine Engines Mehods o impove he pefomance of simple gas ubine plans I egeneaive Gas ubine ycle: he empeaue of he exhaus gases in a simple gas ubine is highe han he empeaue
More informationBMOA estimates and radial growth of B φ functions
c Jounal of echnical Univesiy a Plovdiv Fundamenal Sciences and Applicaions, Vol., 995 Seies A-Pue and Applied Mahemaics Bulgaia, ISSN 3-827 axiv:87.53v [mah.cv] 3 Jul 28 BMOA esimaes and adial gowh of
More informationT 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 informationMolecular Evolution and Phylogeny. Based on: Durbin et al Chapter 8
Molecula Evoluion and hylogeny Baed on: Dubin e al Chape 8. hylogeneic Tee umpion banch inenal node leaf Topology T : bifucaing Leave - N Inenal node N+ N- Lengh { i } fo each banch hylogeneic ee Topology
More informationLecture 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 informationLow-complexity Algorithms for MIMO Multiplexing Systems
Low-complexiy Algoihms fo MIMO Muliplexing Sysems Ouline Inoducion QRD-M M algoihm Algoihm I: : o educe he numbe of suviving pahs. Algoihm II: : o educe he numbe of candidaes fo each ansmied signal. :
More informationPseudosteady-State Flow Relations for a Radial System from Department of Petroleum Engineering Course Notes (1997)
Pseudoseady-Sae Flow Relaions fo a Radial Sysem fom Deamen of Peoleum Engineeing Couse Noes (1997) (Deivaion of he Pseudoseady-Sae Flow Relaions fo a Radial Sysem) (Deivaion of he Pseudoseady-Sae Flow
More informationPOSITIVE SOLUTIONS WITH SPECIFIC ASYMPTOTIC BEHAVIOR FOR A POLYHARMONIC PROBLEM ON R n. Abdelwaheb Dhifli
Opuscula Mah. 35, no. (205), 5 9 hp://dx.doi.og/0.7494/opmah.205.35..5 Opuscula Mahemaica POSITIVE SOLUTIONS WITH SPECIFIC ASYMPTOTIC BEHAVIOR FOR A POLYHARMONIC PROBLEM ON R n Abdelwaheb Dhifli Communicaed
More informationAn 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 informationCHAPTER 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 informationSeminar 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 informationON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS
Mem. Fac. Inegaed As and Sci., Hioshima Univ., Se. IV, Vol. 8 9-33, Dec. 00 ON 3-DIMENSIONAL CONTACT METRIC MANIFOLDS YOSHIO AGAOKA *, BYUNG HAK KIM ** AND JIN HYUK CHOI ** *Depamen of Mahemaics, Faculy
More informationTime-Space Model of Business Fluctuations
Time-Sace Moel of Business Flucuaions Aleei Kouglov*, Mahemaical Cene 9 Cown Hill Place, Suie 3, Eobicoke, Onaio M8Y 4C5, Canaa Email: Aleei.Kouglov@SiconVieo.com * This aicle eesens he esonal view of
More informationMacroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3
Macroeconomic Theory Ph.D. Qualifying Examinaion Fall 2005 Comprehensive Examinaion UCLA Dep. of Economics You have 4 hours o complee he exam. There are hree pars o he exam. Answer all pars. Each par has
More informationVehicle 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 informationr P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2 " P 1 = " #P L L,
Lecue 36 Pipe Flow and Low-eynolds numbe hydodynamics 36.1 eading fo Lecues 34-35: PKT Chape 12. Will y fo Monday?: new daa shee and daf fomula shee fo final exam. Ou saing poin fo hydodynamics ae wo equaions:
More informationMaintenance Service Contracts for Repairable Product Involving Cooperative Relationship between OEM and Agent
Mainenance eice Conacs fo Repaiable Poduc Inoling Coopeaie Relaionship beween OEM and Agen H. Husniah Depamen of Indusial Engineeing, Langlangbuana Uniesi,Kaapian 6, Bandun, Indonesia Tel: (+663) -4886,
More informationHeat Conduction Problem in a Thick Circular Plate and its Thermal Stresses due to Ramp Type Heating
ISSN(Online): 319-8753 ISSN (Pin): 347-671 Inenaional Jounal of Innovaive Reseac in Science, Engineeing and Tecnology (An ISO 397: 7 Ceified Oganiaion) Vol 4, Issue 1, Decembe 15 Hea Concion Poblem in
More informationNumerical solution of fuzzy differential equations by Milne s predictor-corrector method and the dependency problem
Applied Maemaics and Sciences: An Inenaional Jounal (MaSJ ) Vol. No. Augus 04 Numeical soluion o uzz dieenial equaions b Milne s pedico-coeco meod and e dependenc poblem Kanagaajan K Indakuma S Muukuma
More informationMath 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 informationInternational 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 informationSolutions to Assignment 1
MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we
More informationCS 188: Artificial Intelligence Fall Probabilistic Models
CS 188: Aificial Inelligence Fall 2007 Lecue 15: Bayes Nes 10/18/2007 Dan Klein UC Bekeley Pobabilisic Models A pobabilisic model is a join disibuion ove a se of vaiables Given a join disibuion, we can
More informationÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s
MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN
More information4.5 Constant Acceleration
4.5 Consan Acceleraion v() v() = v 0 + a a() a a() = a v 0 Area = a (a) (b) Figure 4.8 Consan acceleraion: (a) velociy, (b) acceleraion When he x -componen of he velociy is a linear funcion (Figure 4.8(a)),
More informationTwo-dimensional Effects on the CSR Interaction Forces for an Energy-Chirped Bunch. Rui Li, J. Bisognano, R. Legg, and R. Bosch
Two-dimensional Effecs on he CS Ineacion Foces fo an Enegy-Chiped Bunch ui Li, J. Bisognano,. Legg, and. Bosch Ouline 1. Inoducion 2. Pevious 1D and 2D esuls fo Effecive CS Foce 3. Bunch Disibuion Vaiaion
More informationCHAPTER 6: FIRST-ORDER CIRCUITS
EEE5: CI CUI T THEOY CHAPTE 6: FIST-ODE CICUITS 6. Inroducion This chaper considers L and C circuis. Applying he Kirshoff s law o C and L circuis produces differenial equaions. The differenial equaions
More informationSupport Vector Machines
Suppo Veco Machine CSL 3 ARIFICIAL INELLIGENCE SPRING 4 Suppo Veco Machine O, Kenel Machine Diciminan-baed mehod olean cla boundaie Suppo veco coni of eample cloe o bounday Kenel compue imilaiy beeen eample
More informationChapter 7 Response of First-order RL and RC Circuits
Chaper 7 Response of Firs-order RL and RC Circuis 7.- The Naural Response of RL and RC Circuis 7.3 The Sep Response of RL and RC Circuis 7.4 A General Soluion for Sep and Naural Responses 7.5 Sequenial
More informationLecture 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 informationToday - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations
Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy
More informationr r r r r EE334 Electromagnetic Theory I Todd Kaiser
334 lecoagneic Theoy I Todd Kaise Maxwell s quaions: Maxwell s equaions wee developed on expeienal evidence and have been found o goven all classical elecoagneic phenoena. They can be wien in diffeenial
More informationInventory 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 informationTwo 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 informationCompetitive 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[ ] 0. = (2) = a q dimensional vector of observable instrumental variables that are in the information set m constituents of u
Genealized Mehods of Momens he genealized mehod momens (GMM) appoach of Hansen (98) can be hough of a geneal pocedue fo esing economics and financial models. he GMM is especially appopiae fo models ha
More information