Optimal control of a dynamic production-inventory system with various cost criteria
In this article, we investigate the dynamic control problem of a production-inventory system. Here, demands arrive at the production unit according to a Poisson process and are processed in an FCFS manner. The processing time of the customer’s demand is exponentially distributed. Production manufact...
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| Vydané v: | Annals of operations research Ročník 337; číslo 1; s. 75 - 103 |
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| Hlavní autori: | , , , |
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| Jazyk: | English |
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01.06.2024
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| Abstract | In this article, we investigate the dynamic control problem of a production-inventory system. Here, demands arrive at the production unit according to a Poisson process and are processed in an FCFS manner. The processing time of the customer’s demand is exponentially distributed. Production manufacturers produce items on a make-to-order basis to meet customer demands. The production is run until the inventory level becomes sufficiently large. We assume that the production time of an item follows an exponential distribution and that the amount of time for the produced item to reach the retail shop is negligible. In addition, we assume that no new customer joins the queue when there is void inventory. Moreover, when a customer is waiting in an infinite FIFO queue for service, he/she does not leave the queue even if the inventory is exhausted. This yields an explicit product-form solution for the steady-state probability vector of the system. The optimal policy that minimizes the discounted/average/pathwise average total cost per production is derived using a Markov decision process approach. We find an optimal policy using value/policy iteration algorithms. Numerical examples are discussed to verify the proposed algorithms. |
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| AbstractList | In this article, we investigate the dynamic control problem of a production-inventory system. Here, demands arrive at the production unit according to a Poisson process and are processed in an FCFS manner. The processing time of the customer’s demand is exponentially distributed. Production manufacturers produce items on a make-to-order basis to meet customer demands. The production is run until the inventory level becomes sufficiently large. We assume that the production time of an item follows an exponential distribution and that the amount of time for the produced item to reach the retail shop is negligible. In addition, we assume that no new customer joins the queue when there is void inventory. Moreover, when a customer is waiting in an infinite FIFO queue for service, he/she does not leave the queue even if the inventory is exhausted. This yields an explicit product-form solution for the steady-state probability vector of the system. The optimal policy that minimizes the discounted/average/pathwise average total cost per production is derived using a Markov decision process approach. We find an optimal policy using value/policy iteration algorithms. Numerical examples are discussed to verify the proposed algorithms. |
| Audience | Academic |
| Author | Golui, Subrata Sobhanan, Abhay Pal, Chandan Manikandan, R. |
| Author_xml | – sequence: 1 givenname: Subrata surname: Golui fullname: Golui, Subrata organization: Department of Mathematics, Indian Institute of Technology Guwahati – sequence: 2 givenname: Chandan surname: Pal fullname: Pal, Chandan organization: Department of Mathematics, Indian Institute of Technology Guwahati – sequence: 3 givenname: R. orcidid: 0000-0002-0408-1712 surname: Manikandan fullname: Manikandan, R. email: mani@cukerala.ac.in organization: Department of Mathematics, Central University of Kerala – sequence: 4 givenname: Abhay surname: Sobhanan fullname: Sobhanan, Abhay organization: Department of Industrial and Management Systems Engineering, University of South Florida |
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| Cites_doi | 10.1007/s10479-013-1437-x 10.1007/978-981-15-5951-8_14 10.1007/978-3-030-54987-9 10.1002/047001363X 10.1007/s001860400369 10.1007/s00245-013-9208-2 10.1111/poms.13819 10.1002/9781394174201 10.1287/opre.40.4.808 10.1016/j.ijpe.2010.10.011 10.1080/15326340701645975 10.1002/9780470316887 10.1007/BF01125431 10.1080/15326349908807558 10.1080/17442508.2013.872644 10.1080/07362994.2015.1050674 10.1007/s11134-006-8710-5 10.1080/17442508.2018.1521413 10.1080/07408179308964320 10.1155/JAMSA/2006/69068 10.1287/opre.42.2.337 10.1002/9781119755234.ch6 10.2307/1427522 10.1287/moor.11.2.208 10.1007/978-3-642-02547-1 10.1080/07362990600753635 10.1137/140972640 10.1007/BF02060488 10.1016/S0377-2217(01)00257-0 10.1007/s00186-022-00779-9 10.1016/j.ejor.2013.01.041 10.1111/poms.13820 10.1287/moor.11.2.193 10.1007/978-1-4612-0729-0 10.1007/s00170-010-2883-0 |
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| Keywords | Controlled Markov chain Cost criterion Policy iteration algorithm Primary 93E20 60J27 Value iteration algorithm Secondary 49L20 Production-inventory system |
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| References | ChakravarthySRIntroduction to matrix analytic methods in queues 1: Analytical and simulation approach—basics2022Wiley10.1002/9781394174201 FedergruenAZipkinPAn inventory model with limited production capacity and uncertain demands I. The average-cost criterionMathematics of Operations Research198611219320710.1287/moor.11.2.193 HeQ-MBuzacottEMJewkesJOptimal and near-optimal inventory control policies for a make-to-order inventory-production systemEuropean Journal of Operational Research200214111313210.1016/S0377-2217(01)00257-0 BermanOKaplanEHShimshakDGDeterministic approximations for inventory management at service facilitiesIIE Transactions19932559810410.1080/07408179308964320 KumarKSPalCRisk-sensitive control of continuous-time Markov processes with denumerable state spaceStochastic Analysis and Applications20153386388110.1080/07362994.2015.1050674 MelikovAZMolchanovAAStock optimization in transportation/storage systemsCybernetics and Systems Analysis199228348448710.1007/BF01125431 FedergruenAZipkinPAn inventory model with limited production capacity and uncertain demands II. The discounted-cost criterionMathematics of Operations Research198611220821510.1287/moor.11.2.208 BermanOKimEDynamic inventory strategies for profit maximization in a service facility with stochastic service, demand and lead timeMathematical Methods of Operational Research20046049752110.1007/s001860400369 GuoXPHernández-LermaOContinuous time Markov decision processes. Stochastic modelling and applied probability2009Springer6210.1007/978-3-642-02547-1 KrishnamoorthyAShajinDNarayananVCAnisimovVLimniosNInventory with positive service time: A surveyQueueing theory2021Wiley20123710.1002/9781119755234.ch6 ChakravarthySRIntroduction to matrix-analytic methods in queues 2: Analytical and simulation approach—queues and simulation2022Wiley10.1002/9781394174201 PereraSCSethiSPA survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)-type policies-the discrete-time caseProduction and Operations Management202210.1111/poms.13820 KrishnamoorthyANarayananVCStochastic decomposition in production inventory with service timeEuropean Journal of Operational Research2013228235836610.1016/j.ejor.2013.01.041 MeynSPTweedieRLStability of Markovian processes III: Foster–Lyapunov criteria for continuous time processesAdvanced in Applied Probability19932551854810.2307/1427522 Malini, S. & Shajin, D. (2020). An (s,S)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(s,S)$$\end{document} production inventory system with state dependent production rate and lost sales. Applied Probability and Stochastic Processes, 215–233. SarkarBAn inventory model with reliability in an imperfect production processJournal of Applied Mathematics and Computation201221840814091 SigmanKSimchi-LeviDLight traffic heuristic for an M/G/1 queue with limited inventoryAnnals of Operations Research19924037138010.1007/BF02060488 PalCPradhanSRisk sensitive control of pure jump processes on a general state spaceStochastics201991215517410.1080/17442508.2018.1521413 HelmesKLStockbridgeRHZhuCAn inventory model with limited production capacity and uncertain demands II. The discounted-cost criterionSIAM Journal on Control and Optimization2015532100214010.1137/140972640 HeQ-MJewkesEMPerformance measures of a make-to-order inventory-production systemIIE Transactions200132400419 NeutsMFMatrix-geometric solutions in stochastic models: An algorithmic approach19942Dover VeatchHMWeinMLOptimal control of a two-station tandem production/inventory systemOperations Research19944233735010.1287/opre.42.2.337 Hernández-Lerma, O. & Lasserre, J. B. (1996). Discrete-time Markov control processes. Stochastic Modelling and Applied Probability (1996). PiunovskyAZhangYContinuous-time Markov decision processes. Probability theory and stochastic modelling2020Springer10.1007/978-3-030-54987-9 Rahul, R. (2022). Low delay file transmissions over power constrained quasi-static fading channels. Ph.D. thesis, IISC. Arivarignan, G., Elango, C. & Arumugam, N. (2002). A continuous review perishable inventory control system at service facilities. Advances in Stochastic Modelling, 29–40. PutermanMLMarkov decision processes: Discrete stochastic dynamic programming. Wiley series in probability and statistics1994Wiley10.1002/9780470316887 SaffariMHajiRHassanzadehFA queueing system with inventory and mixed exponentially distributed lead timesThe International Journal of Advanced Manufacturing Technology2011531231123710.1007/s00170-010-2883-0 KumarKSPalCRisk-sensitive control of jump process on denumerable state space with near monotone costApplied Mathematics and Optimization20136831133110.1007/s00245-013-9208-2 BermanOKimEStochastic models for inventory managements at service facilitiesCommunications in Statistics. Stochastic Models199915469571810.1080/15326349908807558 KrishnamoorthyANarayananVCDeepakTGVineethaKEffective utilization of server idle time in an (s,S)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(s, S)$$\end{document} inventory with positive service timeJournal of Applied Mathematics and Stochastic Analysis200610.1155/JAMSA/2006/69068 KrishnamoorthyAManikandanRLakshmyBA revisit to queueing-inventory system with positive service timeAnnals of Operations Research201523322123610.1007/s10479-013-1437-x KrishnamoorthyADeepakTGNarayananVCVineethaKControl policies for inventory with service timeStochastic Analysis and Applications200624488989910.1080/07362990600753635 ChakravarthySAlfaASMatrix-analytic method in stochastic models1986CRC Press, Taylor & Francis Group GhoshMKSahaSRisk-sensitive control of continuous time Markov chainStochastic201486465567510.1080/17442508.2013.872644 ZhaoNLianZA queueing-inventory system with two classes of customersInternational Journal of Production Economics201112922523110.1016/j.ijpe.2010.10.011 NeutsMFStructured stochastic matrices of M/G/I type and their applications1989Marcel Dekker PalBSenaSSChaudhuriKThree-layer supply chain: A production-inventory model for reworkable itemsJournal of Applied Mathematics and Computation2012219510543 GoluiSPalCRisk-sensitive discounted cost criterion for continuous-time Markov decision processes on a general state spaceMathematical Methods of Operations Research20229521924710.1007/s00186-022-00779-9 SchwarzMWichelhausCDadunaHProduct form models for queueing networks with an inventoryStochastic Models20072362766310.1080/15326340701645975 FedergruenAZhangYAn efficient algorithm for computing an optimal (r,Q)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(r, Q)$$\end{document} policy in continuous review stochastic inventory systemsOperations Research199240463382510.1287/opre.40.4.808 Sajeev, S. N. (2012). On (s,S)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(s, S)$$\end{document} inventory policy with/without retrial and interruption of service/production. Ph.D. thesis, Cochin University of Science and Technology, India. TijmsHenk CA first course in stochastic models2003Wiley10.1002/047001363X PereraSCSethiSPA survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)-type policies-the continuous-time caseProduction and Operations Management202210.1111/poms.13819 SchwarzMSauerCDadunaHKulikRSzekliRM/M/1 queueing systems with inventoryQueueing Systems200654557810.1007/s11134-006-8710-5 A Piunovsky (5716_CR34) 2020 M Saffari (5716_CR37) 2011; 53 A Federgruen (5716_CR8) 1992; 40 C Pal (5716_CR30) 2019; 91 KS Kumar (5716_CR23) 2013; 68 S Chakravarthy (5716_CR7) 1986 B Pal (5716_CR31) 2012; 219 SR Chakravarthy (5716_CR6) 2022 5716_CR17 5716_CR38 SP Meyn (5716_CR27) 1993; 25 SC Perera (5716_CR32) 2022 O Berman (5716_CR3) 1999; 15 5716_CR36 A Krishnamoorthy (5716_CR20) 2013; 228 M Schwarz (5716_CR40) 2006; 54 AZ Melikov (5716_CR26) 1992; 28 A Federgruen (5716_CR10) 1986; 11 A Krishnamoorthy (5716_CR22) 2021 A Federgruen (5716_CR9) 1986; 11 MK Ghosh (5716_CR11) 2014; 86 N Zhao (5716_CR45) 2011; 129 MF Neuts (5716_CR29) 1994 K Sigman (5716_CR42) 1992; 40 O Berman (5716_CR2) 1993; 25 Q-M He (5716_CR14) 2002; 141 KL Helmes (5716_CR16) 2015; 53 M Schwarz (5716_CR41) 2007; 23 MF Neuts (5716_CR28) 1989 KS Kumar (5716_CR24) 2015; 33 XP Guo (5716_CR13) 2009 S Golui (5716_CR12) 2022; 95 A Krishnamoorthy (5716_CR19) 2015; 233 SC Perera (5716_CR33) 2022 HM Veatch (5716_CR44) 1994; 42 O Berman (5716_CR4) 2004; 60 Henk C Tijms (5716_CR43) 2003 ML Puterman (5716_CR35) 1994 5716_CR25 B Sarkar (5716_CR39) 2012; 218 SR Chakravarthy (5716_CR5) 2022 A Krishnamoorthy (5716_CR18) 2006; 24 5716_CR1 A Krishnamoorthy (5716_CR21) 2006 Q-M He (5716_CR15) 2001; 32 |
| References_xml | – reference: SaffariMHajiRHassanzadehFA queueing system with inventory and mixed exponentially distributed lead timesThe International Journal of Advanced Manufacturing Technology2011531231123710.1007/s00170-010-2883-0 – reference: HeQ-MJewkesEMPerformance measures of a make-to-order inventory-production systemIIE Transactions200132400419 – reference: SarkarBAn inventory model with reliability in an imperfect production processJournal of Applied Mathematics and Computation201221840814091 – reference: PereraSCSethiSPA survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)-type policies-the continuous-time caseProduction and Operations Management202210.1111/poms.13819 – reference: SigmanKSimchi-LeviDLight traffic heuristic for an M/G/1 queue with limited inventoryAnnals of Operations Research19924037138010.1007/BF02060488 – reference: ZhaoNLianZA queueing-inventory system with two classes of customersInternational Journal of Production Economics201112922523110.1016/j.ijpe.2010.10.011 – reference: PutermanMLMarkov decision processes: Discrete stochastic dynamic programming. Wiley series in probability and statistics1994Wiley10.1002/9780470316887 – reference: TijmsHenk CA first course in stochastic models2003Wiley10.1002/047001363X – reference: PiunovskyAZhangYContinuous-time Markov decision processes. Probability theory and stochastic modelling2020Springer10.1007/978-3-030-54987-9 – reference: Hernández-Lerma, O. & Lasserre, J. B. (1996). Discrete-time Markov control processes. Stochastic Modelling and Applied Probability (1996). – reference: Sajeev, S. N. (2012). On (s,S)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(s, S)$$\end{document} inventory policy with/without retrial and interruption of service/production. Ph.D. thesis, Cochin University of Science and Technology, India. – reference: ChakravarthySRIntroduction to matrix analytic methods in queues 1: Analytical and simulation approach—basics2022Wiley10.1002/9781394174201 – reference: VeatchHMWeinMLOptimal control of a two-station tandem production/inventory systemOperations Research19944233735010.1287/opre.42.2.337 – reference: HelmesKLStockbridgeRHZhuCAn inventory model with limited production capacity and uncertain demands II. The discounted-cost criterionSIAM Journal on Control and Optimization2015532100214010.1137/140972640 – reference: SchwarzMWichelhausCDadunaHProduct form models for queueing networks with an inventoryStochastic Models20072362766310.1080/15326340701645975 – reference: FedergruenAZhangYAn efficient algorithm for computing an optimal (r,Q)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(r, Q)$$\end{document} policy in continuous review stochastic inventory systemsOperations Research199240463382510.1287/opre.40.4.808 – reference: GoluiSPalCRisk-sensitive discounted cost criterion for continuous-time Markov decision processes on a general state spaceMathematical Methods of Operations Research20229521924710.1007/s00186-022-00779-9 – reference: KrishnamoorthyANarayananVCDeepakTGVineethaKEffective utilization of server idle time in an (s,S)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(s, S)$$\end{document} inventory with positive service timeJournal of Applied Mathematics and Stochastic Analysis200610.1155/JAMSA/2006/69068 – reference: NeutsMFMatrix-geometric solutions in stochastic models: An algorithmic approach19942Dover – reference: Rahul, R. (2022). Low delay file transmissions over power constrained quasi-static fading channels. Ph.D. thesis, IISC. – reference: FedergruenAZipkinPAn inventory model with limited production capacity and uncertain demands II. The discounted-cost criterionMathematics of Operations Research198611220821510.1287/moor.11.2.208 – reference: GhoshMKSahaSRisk-sensitive control of continuous time Markov chainStochastic201486465567510.1080/17442508.2013.872644 – reference: FedergruenAZipkinPAn inventory model with limited production capacity and uncertain demands I. The average-cost criterionMathematics of Operations Research198611219320710.1287/moor.11.2.193 – reference: MelikovAZMolchanovAAStock optimization in transportation/storage systemsCybernetics and Systems Analysis199228348448710.1007/BF01125431 – reference: KrishnamoorthyADeepakTGNarayananVCVineethaKControl policies for inventory with service timeStochastic Analysis and Applications200624488989910.1080/07362990600753635 – reference: SchwarzMSauerCDadunaHKulikRSzekliRM/M/1 queueing systems with inventoryQueueing Systems200654557810.1007/s11134-006-8710-5 – reference: Arivarignan, G., Elango, C. & Arumugam, N. (2002). A continuous review perishable inventory control system at service facilities. Advances in Stochastic Modelling, 29–40. – reference: GuoXPHernández-LermaOContinuous time Markov decision processes. Stochastic modelling and applied probability2009Springer6210.1007/978-3-642-02547-1 – reference: KumarKSPalCRisk-sensitive control of continuous-time Markov processes with denumerable state spaceStochastic Analysis and Applications20153386388110.1080/07362994.2015.1050674 – reference: Malini, S. & Shajin, D. (2020). An (s,S)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(s,S)$$\end{document} production inventory system with state dependent production rate and lost sales. Applied Probability and Stochastic Processes, 215–233. – reference: MeynSPTweedieRLStability of Markovian processes III: Foster–Lyapunov criteria for continuous time processesAdvanced in Applied Probability19932551854810.2307/1427522 – reference: ChakravarthySAlfaASMatrix-analytic method in stochastic models1986CRC Press, Taylor & Francis Group – reference: NeutsMFStructured stochastic matrices of M/G/I type and their applications1989Marcel Dekker – reference: KumarKSPalCRisk-sensitive control of jump process on denumerable state space with near monotone costApplied Mathematics and Optimization20136831133110.1007/s00245-013-9208-2 – reference: KrishnamoorthyAShajinDNarayananVCAnisimovVLimniosNInventory with positive service time: A surveyQueueing theory2021Wiley20123710.1002/9781119755234.ch6 – reference: PalBSenaSSChaudhuriKThree-layer supply chain: A production-inventory model for reworkable itemsJournal of Applied Mathematics and Computation2012219510543 – reference: KrishnamoorthyANarayananVCStochastic decomposition in production inventory with service timeEuropean Journal of Operational Research2013228235836610.1016/j.ejor.2013.01.041 – reference: PalCPradhanSRisk sensitive control of pure jump processes on a general state spaceStochastics201991215517410.1080/17442508.2018.1521413 – reference: PereraSCSethiSPA survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)-type policies-the discrete-time caseProduction and Operations Management202210.1111/poms.13820 – reference: HeQ-MBuzacottEMJewkesJOptimal and near-optimal inventory control policies for a make-to-order inventory-production systemEuropean Journal of Operational Research200214111313210.1016/S0377-2217(01)00257-0 – reference: BermanOKaplanEHShimshakDGDeterministic approximations for inventory management at service facilitiesIIE Transactions19932559810410.1080/07408179308964320 – reference: ChakravarthySRIntroduction to matrix-analytic methods in queues 2: Analytical and simulation approach—queues and simulation2022Wiley10.1002/9781394174201 – reference: BermanOKimEStochastic models for inventory managements at service facilitiesCommunications in Statistics. Stochastic Models199915469571810.1080/15326349908807558 – reference: BermanOKimEDynamic inventory strategies for profit maximization in a service facility with stochastic service, demand and lead timeMathematical Methods of Operational Research20046049752110.1007/s001860400369 – reference: KrishnamoorthyAManikandanRLakshmyBA revisit to queueing-inventory system with positive service timeAnnals of Operations Research201523322123610.1007/s10479-013-1437-x – volume: 233 start-page: 221 year: 2015 ident: 5716_CR19 publication-title: Annals of Operations Research doi: 10.1007/s10479-013-1437-x – volume-title: Structured stochastic matrices of M/G/I type and their applications year: 1989 ident: 5716_CR28 – ident: 5716_CR25 doi: 10.1007/978-981-15-5951-8_14 – volume-title: Matrix-geometric solutions in stochastic models: An algorithmic approach year: 1994 ident: 5716_CR29 – volume-title: Continuous-time Markov decision processes. 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| SubjectTerms | Algorithms Business and Management Combinatorics Control systems Customer services Customers Dynamic control Inventory Inventory control Inventory management Iterative algorithms Markov processes Mathematical optimization Methods Operations Research/Decision Theory Optimal control Original Research Probability distribution functions Queues Statistical analysis Theory of Computation Value analysis (Cost control) |
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| Title | Optimal control of a dynamic production-inventory system with various cost criteria |
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