Continuous-Review (R, nQ) Policies for Inventory Systems with Dual Delivery Modes
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, wh...
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Veröffentlicht in: | Operations research 2016-11, Vol.64 (6), p.1302-1319 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | 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. |
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ISSN: | 0030-364X 1526-5463 |
DOI: | 10.1287/opre.2016.1538 |