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Markovian Demand Inventory Models

Citations

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Cited by:

  1. Zhang, Li & Zhou, Jianqin & Yang, Xufeng, 2025. "Inventory prepositioning of relief material under the Joint Government-Enterprise Storage mode," Operations Research Perspectives, Elsevier, vol. 15(C).
  2. Nasr, Walid W. & Maddah, Bacel, 2015. "Continuous (s, S) policy with MMPP correlated demand," European Journal of Operational Research, Elsevier, vol. 246(3), pages 874-885.
  3. Woonghee Tim Huh & Ganesh Janakiraman & Mahesh Nagarajan, 2011. "Average Cost Single-Stage Inventory Models: An Analysis Using a Vanishing Discount Approach," Operations Research, INFORMS, vol. 59(1), pages 143-155, February.
  4. Yonit Barron & Dror Hermel, 2017. "Shortage decision policies for a fluid production model with MAP arrivals," International Journal of Production Research, Taylor & Francis Journals, vol. 55(14), pages 3946-3969, July.
  5. Walid W. Nasr, 2022. "Inventory systems with stochastic and batch demand: computational approaches," Annals of Operations Research, Springer, vol. 309(1), pages 163-187, February.
  6. Gan, Xianghua & Sethi, Suresh P. & Xu, Liang, 2019. "Simultaneous Optimization of Contingent and Advance Purchase Orders with Fixed Ordering Costs," Omega, Elsevier, vol. 89(C), pages 227-241.
  7. Arnoud den Boer & Ohad Perry & Bert Zwart, 2018. "Dynamic pricing policies for an inventory model with random windows of opportunities," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(8), pages 660-675, December.
  8. Y. Barron, 2019. "A state-dependent perishability (s, S) inventory model with random batch demands," Annals of Operations Research, Springer, vol. 280(1), pages 65-98, September.
  9. Seaman, Brian, 2018. "Considerations of a retail forecasting practitioner," International Journal of Forecasting, Elsevier, vol. 34(4), pages 822-829.
  10. Gong, Min & Lian, Zhaotong & Xiao, Hua, 2022. "Inventory control policy for perishable products under a buyback contract and Brownian demands," International Journal of Production Economics, Elsevier, vol. 251(C).
  11. Eugene A. Feinberg & Yan Liang, 2022. "Structure of optimal policies to periodic-review inventory models with convex costs and backorders for all values of discount factors," Annals of Operations Research, Springer, vol. 317(1), pages 29-45, October.
  12. Jinhui Han & Xiaolong Li & Suresh P. Sethi & Chi Chung Siu & Sheung Chi Phillip Yam, 2024. "Technical Note—Production Management with General Demands and Lost Sales," Operations Research, INFORMS, vol. 72(5), pages 1751-1764, September.
  13. Qi‐Ming He & James H. Bookbinder & Qishu Cai, 2020. "Optimal policies for stochastic clearing systems with time‐dependent delay penalties," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(7), pages 487-502, October.
  14. Harun Avci & Kagan Gokbayrak & Emre Nadar, 2020. "Structural Results for Average‐Cost Inventory Models with Markov‐Modulated Demand and Partial Information," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 156-173, January.
  15. Ozyoruk, Emin & Erkip, Nesim Kohen & Ararat, Çağın, 2022. "End-of-life inventory management problem: Results and insights," International Journal of Production Economics, Elsevier, vol. 243(C).
  16. Presman, E. & Sonin, I., 2023. "An inventory model where commodity prices depend on a continuous time Markov chain," Journal of the New Economic Association, New Economic Association, vol. 59(2), pages 12-34.
  17. Alain Bensoussan & Lama Moussawi-Haidar & Metin Çakanyıldırım, 2010. "Inventory control with an order-time constraint: optimality, uniqueness and significance," Annals of Operations Research, Springer, vol. 181(1), pages 603-640, December.
  18. Hong-Qiao Chen & Xiao-Song Ding & Ji-Hong Zhang & Hua-Yi Li, 2020. "Optimal Production-Inventory Policy for a Periodic-Review Energy Buy-Back System over an Infinite Planning Horizon," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-32, March.
  19. Germs, Remco & Foreest, Nicky D. van, 2014. "Optimal Control of Production-Inventory Systems with Constant and Compound Poisson Demand," Research Report 14001-OPERA, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  20. Eugene A. Feinberg & Mark E. Lewis, 2018. "On the convergence of optimal actions for Markov decision processes and the optimality of (s, S) inventory policies," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(8), pages 619-637, December.
  21. Jinhui Han & Suresh P. Sethi & Chi Chung Siu & Sheung Chi Phillip Yam, 2023. "Co‐op advertising in randomly fluctuating markets," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1617-1635, June.
  22. Nasr, Walid W. & Elshar, Ibrahim J., 2018. "Continuous inventory control with stochastic and non-stationary Markovian demand," European Journal of Operational Research, Elsevier, vol. 270(1), pages 198-217.
  23. Yossi Aviv & Awi Federgruen, 2001. "Capacitated Multi-Item Inventory Systems with Random and Seasonally Fluctuating Demands: Implications for Postponement Strategies," Management Science, INFORMS, vol. 47(4), pages 512-531, April.
  24. Van Foreest, Nicky D. & Kilic, Onur A., 2023. "An intuitive approach to inventory control with optimal stopping," European Journal of Operational Research, Elsevier, vol. 311(3), pages 921-924.
  25. Liberopoulos, George & Deligiannis, Michalis, 2022. "Optimal supplier inventory control policies when buyer purchase incidence is driven by past service," European Journal of Operational Research, Elsevier, vol. 300(3), pages 917-936.
  26. Eugene A. Feinberg & Yan Liang, 2022. "On the optimality equation for average cost Markov decision processes and its validity for inventory control," Annals of Operations Research, Springer, vol. 317(2), pages 569-586, October.
  27. repec:dgr:rugsom:14001-opera is not listed on IDEAS
  28. Chen, Zhaoxiang & Chen, Zhen & Zhou, Di & Pan, Ershun, 2026. "Optimal opportunistic maintenance scheduling for continuous process manufacturing systems under time-varying demand and quality-reliability dependency," Reliability Engineering and System Safety, Elsevier, vol. 268(C).
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