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Extensions of the Planning Horizon Theorem in the Dynamic Lot Size Model

Author

Listed:
  • Gary D. Eppen

    (The University of Chicago)

  • F. J. Gould

    (The University of Chicago)

  • B. Peter Pashigian

    (The University of Chicago)

Abstract

This paper considers an N period production planning problem in which a sequence of known demands d 1 , d 2 ,..., d N must be satisfied. The cost of production in period t consists of a setup cost K t plus a marginal cost per unit c t . The cost of carrying a unit of inventory into period t is h t - 1 . An optimal policy is a production plan that satisfies demand at minimum cost. The main results of the paper are a theorem that decreases the computational effort required to find optimal policies and a theorem that establishes the existence of planning horizons. The results of these two theorems are combined in a forward algorithm for the efficient solution of the problem.

Suggested Citation

  • Gary D. Eppen & F. J. Gould & B. Peter Pashigian, 1969. "Extensions of the Planning Horizon Theorem in the Dynamic Lot Size Model," Management Science, INFORMS, vol. 15(5), pages 268-277, January.
    • Handle: RePEc:inm:ormnsc:v:15:y:1969:i:5:p:268-277
    DOI: 10.1287/mnsc.15.5.268
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    Cited by:

    1. Marshall Fisher & Kamalini Ramdas & Yu-Sheng Zheng, 2001. "Ending Inventory Valuation in Multiperiod Production Scheduling," Management Science, INFORMS, vol. 47(5), pages 679-692, May.
    2. Kimms, A, 1998. "Stability Measures for Rolling Schedules with Applications to Capacity Expansion Planning, Master Production Scheduling, and Lot Sizing," Omega, Elsevier, vol. 26(3), pages 355-366, June.
    3. S. Selcuk Erenguc, 1988. "Multiproduct dynamic lot‐sizing model with coordinated replenishments," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(1), pages 1-22, February.
    4. Fuying Jing & Zirui Lan, 2017. "Forecast horizon of multi-item dynamic lot size model with perishable inventory," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-15, November.
    5. Kimms, Alf, 1996. "Stability measures for rolling schedules with applications to capacity expansion planning, master production scheduling, and lot sizing," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 418, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Joel A. Shapiro & Warren B. Powell, 2006. "A Metastrategy for Large-Scale Resource Management Based on Informational Decomposition," INFORMS Journal on Computing, INFORMS, vol. 18(1), pages 43-60, February.
    7. Archis Ghate & Robert L. Smith, 2009. "Optimal Backlogging Over an Infinite Horizon Under Time-Varying Convex Production and Inventory Costs," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 362-368, June.
    8. James C. Bean & Robert L. Smith & Candace A. Yano, 1987. "Forecast horizons for the discounted dynamic lot‐size problem allowing speculative motive," Naval Research Logistics (NRL), John Wiley & Sons, vol. 34(6), pages 761-774, December.
    9. Michael Bastian, 1992. "A perfect lot‐tree procedure for the discounted dynamic lot‐size problem with speculation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(5), pages 651-668, August.
    10. Alain Bensoussan & Jean‐Marie Proth & Maurice Queyranne, 1991. "A planning horizon algorithm for deterministic inventory management with piecewise linear concave costs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 38(5), pages 729-742, October.
    11. Awi Federgruen & Michal Tzur, 1996. "Detection of minimal forecast horizons in dynamic programs with multiple indicators of the future," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(2), pages 169-189, March.
    12. Nuthall, Peter L., 1980. "A Survey of Methods for Determining A Planning Horizon," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 48(01), pages 1-15, April.
    13. Fleischhacker, Adam J. & Zhao, Yao, 2011. "Planning for demand failure: A dynamic lot size model for clinical trial supply chains," European Journal of Operational Research, Elsevier, vol. 211(3), pages 496-506, June.
    14. Karla E. Bourland & Candace Arai Yano, 1996. "Lot sizing when yields increase during the production run," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(8), pages 1035-1047, December.
    15. Dellaert, N. P. & Jeunet, J., 2003. "Randomized multi-level lot-sizing heuristics for general product structures," European Journal of Operational Research, Elsevier, vol. 148(1), pages 211-228, July.
    16. Vernon Ning Hsu, 2000. "Dynamic Economic Lot Size Model with Perishable Inventory," Management Science, INFORMS, vol. 46(8), pages 1159-1169, August.
    17. Robert L. Smith & Rachel Q. Zhang, 1998. "Infinite Horizon Production Planning in Time-Varying Systems with Convex Production and Inventory Costs," Management Science, INFORMS, vol. 44(9), pages 1313-1320, September.
    18. Suresh Chand & Vernon Ning Hsu & Suresh Sethi, 2002. "Forecast, Solution, and Rolling Horizons in Operations Management Problems: A Classified Bibliography," Manufacturing & Service Operations Management, INFORMS, vol. 4(1), pages 25-43, September.
    19. Richter, Knut & Sombrutzki, Mirko, 2000. "Remanufacturing planning for the reverse Wagner/Whitin models," European Journal of Operational Research, Elsevier, vol. 121(2), pages 304-315, March.
    20. Bhattacharjee, Sudip & Ramesh, R., 2000. "A multi-period profit maximizing model for retail supply chain management: An integration of demand and supply-side mechanisms," European Journal of Operational Research, Elsevier, vol. 122(3), pages 584-601, May.

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