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The Optimal Inventory Control Of A System With Random Lead Time Where Random Supply Interruptions Affect The Replenishment

Author

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  • YUMEI HOU

    (College of Management and Economics, Yanshan University, Qinhuangdao, Hebei Province, 066004, China;
    College of Economics and Management, Beijing Institute of Technology, Beijing, 100080, China)

  • QIANG ZHANG

    (College of Economics and Management, Beijing Institute of Technology, Beijing, 100080, China)

Abstract

This paper analyzes a continuous-review inventory system with random supply interruptions and stochastic lead time. In such a system, a monopolistic supplier alternates between random ON and OFF periods. The variable (r,q)-policy is used. With a constant demand rate, the leadtime may be interrupted by a random number of OFF periods of the supplier. Using the regenerative cycle analysis, a long-run average cost function is obtained and shown to have some important properties. Accordingly, an effective search algorithm is proposed to find the sub-optimal inventory policy. In the end, we also investigate the effects on the average cost of the uncertain order delay which attribute to both the supply interruptions and the random leadtime. Numerical examples are presented to demonstrate the effectiveness of the search algorithm.

Suggested Citation

  • Yumei Hou & Qiang Zhang, 2009. "The Optimal Inventory Control Of A System With Random Lead Time Where Random Supply Interruptions Affect The Replenishment," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 26(04), pages 533-557.
    • Handle: RePEc:wsi:apjorx:v:26:y:2009:i:04:n:s0217595909002341
    DOI: 10.1142/S0217595909002341
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    Cited by:

    1. Qing Zhang & Weiguo Fan & Jianchang Lu & Siqian Wu & Xuechao Wang, 2021. "Research on Dynamic Analysis and Mitigation Strategies of Supply Chains under Different Disruption Risks," Sustainability, MDPI, vol. 13(5), pages 1-29, February.

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