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Inventory cost impact of order processing priorities based on demand uncertainty

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  • Ananth. V. Iyer

Abstract

We evaluate an approach to decrease inventory costs at retail inventory locations that share a production facility. The retail locations sell the same product but differ in the variance of retail demand. Inventory policies at retail locations generate replenishment orders for the production facility. The production facility carries no finished goods inventory. Thus, production lead time for an order is the sojourn time in a single server queueing system. This lead time affects inventory costs at retail locations. We examine the impact of moving from a First Come First Served (FCFS) production rule for orders arriving at the production facility to a rule in which we provide non‐preemptive priority (PR) to orders from retail locations with higher demand uncertainty. We provide three approximations for the ratio of inventory costs under PR and FCFS and use them to identify conditions under which PR decreases retail inventory costs over FCFS. We then use a Direct Approach to establish conditions when PR decreases retail inventory costs over FCFS. We extend the results to orders from locations that differ in the mean and variance of demand uncertainty. The analysis suggests that tailoring lead times to product demand characteristics may decrease system inventory costs. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 376–390, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10016

Suggested Citation

  • Ananth. V. Iyer, 2002. "Inventory cost impact of order processing priorities based on demand uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(4), pages 376-390, June.
    • Handle: RePEc:wly:navres:v:49:y:2002:i:4:p:376-390
    DOI: 10.1002/nav.10016
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    References listed on IDEAS

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    1. S. L. Albin, 1982. "On Poisson Approximations for Superposition Arrival Processes in Queues," Management Science, INFORMS, vol. 28(2), pages 126-137, February.
    2. Yu-Sheng Zheng & Paul Zipkin, 1990. "A Queueing Model to Analyze the Value of Centralized Inventory Information," Operations Research, INFORMS, vol. 38(2), pages 296-307, April.
    3. Guillermo Gallego, 1998. "New Bounds and Heuristics for (Q, r) Policies," Management Science, INFORMS, vol. 44(2), pages 219-233, February.
    4. Ananth V. Iyer & Linus E. Schrage, 1992. "Analysis of the Deterministic (s, S) Inventory Problem," Management Science, INFORMS, vol. 38(9), pages 1299-1313, September.
    5. Donald D. Eisenstein & Ananth V. Iyer, 1996. "Separating Logistics Flows in the Chicago Public School System," Operations Research, INFORMS, vol. 44(2), pages 265-273, April.
    6. Williams, T. M., 1984. "Special products and uncertainty in production/inventory systems," European Journal of Operational Research, Elsevier, vol. 15(1), pages 46-54, January.
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    Cited by:

    1. Apurva Jain, 2006. "Priority and dynamic scheduling in a make‐to‐stock queue with hyperexponential demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(5), pages 363-382, August.

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