A Comparison of the Optimal Ordering Levels of Bayesian and Non-Bayesian Inventory Models
AbstractAlthough it is often the case that the parameters of the distribution of demand are not known with certainty and that a Bayesian formulation would be appropriate, such an approach is generally not used in inventory calculations for computational reasons. Since one often resorts to a non-Bayesian formulation, it is of interest to compare Bayesian policies with a comparable non-Bayesian policy. Using the concept of flexibility it was anticipated that the quantity ordered under the non-Bayesian policy would be greater than or equal to that under a Bayesian policy. This result is established for the n-period nondepletive inventory model. However, a two-period counterexample is given for the standard (depletive) inventory model.
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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 30 (1984)
Issue (Month): 8 (August)
spare parts; Bayesian; dynamic programming;
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- Larson, C. Erik & Olson, Lars J. & Sharma, Sunil, 2001.
"Optimal Inventory Policies when the Demand Distribution Is Not Known,"
Journal of Economic Theory,
Elsevier, vol. 101(1), pages 281-300, November.
- C. Erik Larson Lars J. Olson** and Sunil Sharma***, 1991. "Optimal Inventory Policies When The Demand Distribution Is Not Known#," UCLA Economics Working Papers 631, UCLA Department of Economics.
- Erik W. Larson & Sunil Sharma & Lars J. Olson, 2000. "Optimal Inventory Policies When the Demand Distribution is Not Known," IMF Working Papers 00/183, International Monetary Fund.
- Larson, C.E. & Olson, L.J. & Sharma, S., 1992. "Optimal Inventory Policies when the Demand Distribution is not Known," The A. Gary Anderson Graduate School of Management 92-12, The A. Gary Anderson Graduate School of Management. University of California Riverside.
- Choi, Tsan-Ming, 2007. "Pre-season stocking and pricing decisions for fashion retailers with multiple information updating," International Journal of Production Economics, Elsevier, vol. 106(1), pages 146-170, March.
- Choi, Tsan-Ming & Chow, Pui-Sze, 2008. "Mean-variance analysis of Quick Response Program," International Journal of Production Economics, Elsevier, vol. 114(2), pages 456-475, August.
- Janssen, Elleke & Strijbosch, Leo & Brekelmans, Ruud, 2009. "Assessing the effects of using demand parameters estimates in inventory control and improving the performance using a correction function," International Journal of Production Economics, Elsevier, vol. 118(1), pages 34-42, March.
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