IDEAS home Printed from https://ideas.repec.org/r/inm/oropre/v54y2006i4p801-807.html
   My bibliography  Save this item

Are Base-Stock Policies Optimal in Inventory Problems with Multiple Delivery Modes?

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Karl G. Kempf & Feryal Erhun & Erik F. Hertzler & Timothy R. Rosenberg & Chen Peng, 2013. "Optimizing Capital Investment Decisions at Intel Corporation," Interfaces, INFORMS, vol. 43(1), pages 62-78, February.
  2. Tao Lu & Jan C. Fransoo & Chung-Yee Lee, 2017. "Carrier Portfolio Management for Shipping Seasonal Products," Operations Research, INFORMS, vol. 65(5), pages 1250-1266, October.
  3. Chaolin Yang & Diyuan Huang & Chenyang Xu, 2022. "Multi-index base-stock policy for inventory systems with multiple capacitated suppliers," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 155-177, March.
  4. Zhu, Stuart X., 2015. "Dynamic replenishment from two sources with different yields, costs, and leadtimes," International Journal of Production Economics, Elsevier, vol. 165(C), pages 79-89.
  5. Qing Li & Peiwen Yu, 2014. "Multimodularity and Its Applications in Three Stochastic Dynamic Inventory Problems," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 455-463, July.
  6. Eduard Calvo & Victor Martínez-de-Albéniz, 2016. "Sourcing Strategies and Supplier Incentives for Short-Life-Cycle Goods," Management Science, INFORMS, vol. 62(2), pages 436-455, February.
  7. Younes Hamdouch & Youssef Boulaksil & Kilani Ghoudi, 2023. "Dual sourcing inventory management with nonconsecutive lead times from a supply chain perspective: a numerical study," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(3), pages 1013-1041, September.
  8. Drent, Melvin & Moradi, Poulad & Arts, Joachim, 2023. "Efficient emission reduction through dynamic supply mode selection," European Journal of Operational Research, Elsevier, vol. 311(3), pages 925-941.
  9. Dong, Chuanwen & Transchel, Sandra, 2020. "A dual sourcing inventory model for modal split transport: Structural properties and optimal solution," European Journal of Operational Research, Elsevier, vol. 283(3), pages 883-900.
  10. Hekimoğlu, Mustafa & Scheller-Wolf, Alan, 2023. "Dual sourcing models with stock-out dependent substitution," European Journal of Operational Research, Elsevier, vol. 311(2), pages 472-485.
  11. A. Bensoussan & M. Çakanyildirim & S. P. Sethi, 2006. "Optimality of Base-Stock and (s, S) Policies for Inventory Problems with Information Delays," Journal of Optimization Theory and Applications, Springer, vol. 130(2), pages 153-172, August.
  12. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
  13. Chand, Suresh & Li, Jian & Xu, Yanyi, 2016. "A periodic review inventory model with two delivery modes, fractional lead-times, and age-and-period-dependent backlogging costs," International Journal of Production Economics, Elsevier, vol. 173(C), pages 199-206.
  14. Svoboda, Josef & Minner, Stefan & Yao, Man, 2021. "Typology and literature review on multiple supplier inventory control models," European Journal of Operational Research, Elsevier, vol. 293(1), pages 1-23.
  15. John Khawam & Warren H. Hausman & Dinah W. Cheng, 2007. "Warranty Inventory Optimization for Hitachi Global Storage Technologies, Inc," Interfaces, INFORMS, vol. 37(5), pages 455-471, October.
  16. Anshul Sheopuri & Ganesh Janakiraman & Sridhar Seshadri, 2010. "New Policies for the Stochastic Inventory Control Problem with Two Supply Sources," Operations Research, INFORMS, vol. 58(3), pages 734-745, June.
  17. Xie, Chen & Wang, Liangquan & Yang, Chaolin, 2021. "Robust inventory management with multiple supply sources," European Journal of Operational Research, Elsevier, vol. 295(2), pages 463-474.
  18. Sean X. Zhou & Zhijie Tao & Xiuli Chao, 2011. "Optimal Control of Inventory Systems with Multiple Types of Remanufacturable Products," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 20-34, March.
  19. Zhu, Stuart X., 2015. "Analysis of dual sourcing strategies under supply disruptions," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 191-203.
  20. Linwei Xin & David A. Goldberg, 2018. "Asymptotic Optimality of Tailored Base-Surge Policies in Dual-Sourcing Inventory Systems," Management Science, INFORMS, vol. 64(1), pages 437-452, January.
  21. Chen Peng & Feryal Erhun & Erik F. Hertzler & Karl G. Kempf, 2012. "Capacity Planning in the Semiconductor Industry: Dual-Mode Procurement with Options," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 170-185, April.
  22. Joachim Arts & Rob Basten & Geert-Jan Van Houtum, 2016. "Repairable Stocking and Expediting in a Fluctuating Demand Environment: Optimal Policy and Heuristics," Operations Research, INFORMS, vol. 64(6), pages 1285-1301, December.
  23. Boulaksil, Youssef & Hamdouch, Younes & Ghoudi, Kilani & Fransoo, Jan C., 2021. "Comparing policies for the stochastic multi-period dual sourcing problem from a supply chain perspective," Other publications TiSEM 242598b9-99de-4a3c-a1a9-4, Tilburg University, School of Economics and Management.
  24. Wen Chen & Burcu Tan, 2022. "Dynamic procurement from multiple suppliers with random capacities," Annals of Operations Research, Springer, vol. 317(2), pages 509-536, October.
  25. Boulaksil, Youssef & Hamdouch, Younes & Ghoudi, Kilani & Fransoo, Jan C., 2021. "Comparing policies for the stochastic multi-period dual sourcing problem from a supply chain perspective," International Journal of Production Economics, Elsevier, vol. 232(C).
  26. Xiuli Chao & Hong Chen & Shaohui Zheng, 2009. "Dynamic Capacity Expansion for a Service Firm with Capacity Deterioration and Supply Uncertainty," Operations Research, INFORMS, vol. 57(1), pages 82-93, February.
  27. Guang Xiao & Nan Yang & Renyu Zhang, 2015. "Dynamic Pricing and Inventory Management Under Fluctuating Procurement Costs," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 321-334, July.
  28. Arts, Joachim & Kiesmüller, Gudrun P., 2013. "Analysis of a two-echelon inventory system with two supply modes," European Journal of Operational Research, Elsevier, vol. 225(2), pages 263-272.
  29. Jing-Sheng Song & Paul Zipkin, 2009. "Inventories with Multiple Supply Sources and Networks of Queues with Overflow Bypasses," Management Science, INFORMS, vol. 55(3), pages 362-372, March.
  30. Long He & Ying Rong & Zuo‐Jun Max Shen, 2020. "Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 9-23, January.
  31. Tong Wang & Xiaoyue Yan & Chaolin Yang, 2021. "Managing a Hybrid RDC‐DC Inventory System," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3679-3697, October.
  32. David A. Goldberg & Martin I. Reiman & Qiong Wang, 2021. "A Survey of Recent Progress in the Asymptotic Analysis of Inventory Systems," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1718-1750, June.
  33. Zhaotong Lian & Liming Liu & Stuart X. Zhu, 2010. "Rolling‐horizon replenishment: Policies and performance analysis," Naval Research Logistics (NRL), John Wiley & Sons, vol. 57(6), pages 489-502, September.
  34. Luo, Kai & Bollapragada, Ramesh & Kerbache, Laoucine, 2017. "Inventory allocation models for a two-stage, two-product, capacitated supplier and retailer problem with random demand," International Journal of Production Economics, Elsevier, vol. 187(C), pages 168-181.
  35. Liu, Yujie & Niu, Minwen & Yao, Dacheng & Zhang, Hanqin, 2022. "Stationary distributions and ergodicity of reflection-type Markov chains," Statistics & Probability Letters, Elsevier, vol. 189(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.