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Continuous-Review ( R, nQ ) Policies for Inventory Systems with Dual Delivery Modes

Author

Listed:
  • Sean X. Zhou

    (CUHK Business School, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong)

  • Chaolin Yang

    (Research Center for Management Science and Data Analytics, School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, China)

Abstract

We study a continuous-review, infinite-horizon inventory system with compound Poisson demand and dual sourcing/delivery modes. Ordering from either source/mode incurs a fixed cost and the expedited mode provides a shorter lead time than the regular mode. As the optimal ordering policy is unknown, while expected to be very complicated, we propose a class of simple policies called single-index ( R, nQ ) policies—when ordering from each mode, based on the inventory position, the system follows an ( R, nQ )-type of policy. We provide an exact procedure to compute the expected long-run average cost. Specifically, we first analyze the steady-state distribution of the inventory position, which is found to be no longer uniform in general as in the classic ( R, nQ ) inventory system where only one delivery mode is available. We then develop a recursive procedure, which overcomes the order-crossing effect, to determine the steady-state distribution of the inventory level. Two simple heuristics for computing near-optimal policy parameters are provided. For a special case where ordering from the regular mode incurs no fixed cost and follows a base-stock policy, we derive closed-form solution bounds by applying normal approximation. To assess the performance of the single-index ( R, nQ ) policy, we further study a more complicated class of policies called dual-index ( R, nQ ) policies and numerically illustrate that the simpler single-index policy performs close to the dual-index policy. Finally, the performance of the single-index policy is also shown comparable to the policy computed via dynamic programming.

Suggested Citation

  • Sean X. Zhou & Chaolin Yang, 2016. "Continuous-Review ( R, nQ ) Policies for Inventory Systems with Dual Delivery Modes," Operations Research, INFORMS, vol. 64(6), pages 1302-1319, December.
  • Handle: RePEc:inm:oropre:v:64:y:2016:i:6:p:1302-1319
    DOI: 10.1287/opre.2016.1538
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Johansen, Søren Glud, 2019. "Emergency orders in the periodic-review inventory system with fixed ordering costs and stochastic lead times for normal orders," International Journal of Production Economics, Elsevier, vol. 209(C), pages 205-214.
    3. N. Knofius & M. C. Heijden & A. Sleptchenko & W. H. M. Zijm, 2021. "Improving effectiveness of spare parts supply by additive manufacturing as dual sourcing option," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 189-221, March.
    4. Jiahua Zhang & Lian Qi & Shilu Tong, 2021. "Dynamic Contract under Quick Response in a Supply Chain with Information Asymmetry," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1273-1289, May.
    5. Barron, Yonit, 2022. "The continuous (S,s,Se) inventory model with dual sourcing and emergency orders," European Journal of Operational Research, Elsevier, vol. 301(1), pages 18-38.
    6. Jiankun Sun & Jan A. Van Mieghem, 2019. "Robust Dual Sourcing Inventory Management: Optimality of Capped Dual Index Policies and Smoothing," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 912-931, October.
    7. 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.
    8. 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).
    9. 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.

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