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Modelling imperfect advance demand information and analysis of optimal inventory policies

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  • Tan, Tarkan
  • Gullu, Refik
  • Erkip, Nesim

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  • Tan, Tarkan & Gullu, Refik & Erkip, Nesim, 2007. "Modelling imperfect advance demand information and analysis of optimal inventory policies," European Journal of Operational Research, Elsevier, vol. 177(2), pages 897-923, March.
    • Handle: RePEc:eee:ejores:v:177:y:2007:i:2:p:897-923
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    References listed on IDEAS

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    1. Suresh P. Sethi & Feng Cheng, 1997. "Optimality of ( s , S ) Policies in Inventory Models with Markovian Demand," Operations Research, INFORMS, vol. 45(6), pages 931-939, December.
    2. William S. Lovejoy, 1990. "Myopic Policies for Some Inventory Models with Uncertain Demand Distributions," Management Science, INFORMS, vol. 36(6), pages 724-738, June.
    3. Katy S. Azoury, 1985. "Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution," Management Science, INFORMS, vol. 31(9), pages 1150-1160, September.
    4. DeCroix, Gregory A. & Mookerjee, Vijay S., 1997. "Purchasing demand information in a stochastic-demand inventory system," European Journal of Operational Research, Elsevier, vol. 102(1), pages 36-57, October.
    5. Fangruo Chen & Jing-Sheng Song, 2001. "Optimal Policies for Multiechelon Inventory Problems with Markov-Modulated Demand," Operations Research, INFORMS, vol. 49(2), pages 226-234, April.
    6. Thonemann, U. W., 2002. "Improving supply-chain performance by sharing advance demand information," European Journal of Operational Research, Elsevier, vol. 142(1), pages 81-107, October.
    7. Easton, Fred F. & Moodie, Douglas R., 1999. "Pricing and lead time decisions for make-to-order firms with contingent orders," European Journal of Operational Research, Elsevier, vol. 116(2), pages 305-318, July.
    8. James T. Treharne & Charles R. Sox, 2002. "Adaptive Inventory Control for Nonstationary Demand and Partial Information," Management Science, INFORMS, vol. 48(5), pages 607-624, May.
    9. Jing-Sheng Song & Paul Zipkin, 1993. "Inventory Control in a Fluctuating Demand Environment," Operations Research, INFORMS, vol. 41(2), pages 351-370, April.
    10. Dellaert, N. P. & Melo, M. T., 2003. "Approximate solutions for a stochastic lot-sizing problem with partial customer-order information," European Journal of Operational Research, Elsevier, vol. 150(1), pages 163-180, October.
    11. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    12. Rema Hariharan & Paul Zipkin, 1995. "Customer-Order Information, Leadtimes, and Inventories," Management Science, INFORMS, vol. 41(10), pages 1599-1607, October.
    13. Guillermo Gallego & Özalp Özer, 2001. "Integrating Replenishment Decisions with Advance Demand Information," Management Science, INFORMS, vol. 47(10), pages 1344-1360, October.
    14. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
    15. van Donselaar, Karel & Rock Kopczak, Laura & Wouters, Marc, 2001. "The use of advance demand information in a project-based supply chain," European Journal of Operational Research, Elsevier, vol. 130(3), pages 519-538, May.
    16. Arthur F. Veinott, Jr., 1965. "Optimal Policy for a Multi-Product, Dynamic, Nonstationary Inventory Problem," Management Science, INFORMS, vol. 12(3), pages 206-222, November.
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