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Note: Dynamic lot sizing for a finite rate input process

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  • Roger M. Hill

Abstract

The basic single‐product dynamic lot‐sizing problem involves determining the optimal batch production schedule to meet a deterministic, discrete‐in‐time, varying demand pattern subject to linear setup and stockholding costs. The most widely known procedure for deriving the optimal solution is the Wagner‐Whitin algorithm, although many other approaches have subsequently been developed for tackling the same problem. The objective of this note is to show how these procedures can readily be adapted when the input is a finite rate production process. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44: 221–228, 1997

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  • Roger M. Hill, 1997. "Note: Dynamic lot sizing for a finite rate input process," Naval Research Logistics (NRL), John Wiley & Sons, vol. 44(2), pages 221-228, March.
    • Handle: RePEc:wly:navres:v:44:y:1997:i:2:p:221-228
    DOI: 10.1002/(SICI)1520-6750(199703)44:23.0.CO;2-B
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    References listed on IDEAS

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    1. Kenneth R. Baker & Paul Dixon & Michael J. Magazine & Edward A. Silver, 1978. "An Algorithm for the Dynamic Lot-Size Problem with Time-Varying Production Capacity Constraints," Management Science, INFORMS, vol. 24(16), pages 1710-1720, December.
    2. Awi Federgruen & Michal Tzur, 1991. "A Simple Forward Algorithm to Solve General Dynamic Lot Sizing Models with n Periods in 0(n log n) or 0(n) Time," Management Science, INFORMS, vol. 37(8), pages 909-925, August.
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    2. Suresh Chand & Sunantha Teyarachakul Prime & Suresh Sethi, 2018. "Production planning with multiple production lines: Forward algorithm and insights on process design for volume flexibility," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(6-7), pages 535-549, September.

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