A multi-item continuous review inventory system with compound Poisson demands
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DOI: 10.1007/s001860000101
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Cited by:
- Larsen, Christian, 2007. "The Q(s,S) control policy for the joint replenishment problem extended to the case of correlation among item-demands," CORAL Working Papers L-2007-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Sivakumar, B., 2008. "Two-commodity inventory system with retrial demand," European Journal of Operational Research, Elsevier, vol. 187(1), pages 70-83, May.
- Sandun C. Perera & Suresh P. Sethi, 2023. "A survey of stochastic inventory models with fixed costs: Optimality of (s, S) and (s, S)‐type policies—Continuous‐time case," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 154-169, January.
- Young Hyeon Yang & Jong Soo Kim, 2020. "An adaptive joint replenishment policy for items with non-stationary demands," Operational Research, Springer, vol. 20(3), pages 1665-1684, September.
- Chenglin Hu & Junsong Bian & Daozhi Zhao & Longfei He & Fangqi Dong, 2024. "Optimal Dynamic Production Planning for Supply Network with Random External and Internal Demands," Mathematics, MDPI, vol. 12(17), pages 1-33, August.
- S G Johansen & P Melchiors, 2003. "Can-order policy for the periodic-review joint replenishment problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 283-290, March.
- Larsen, Christian, 2009. "The Q(s,S) control policy for the joint replenishment problem extended to the case of correlation among item-demands," International Journal of Production Economics, Elsevier, vol. 118(1), pages 292-297, March.
- Minner, Stefan & Silver, Edward A., 2007. "Replenishment policies for multiple products with compound-Poisson demand that share a common warehouse," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 388-398, July.
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Keywords
Key words: multi-item inventory system; continuous review; optimal policy; new algorithm; policy iteration method;All these keywords.
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