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Note---Learning Effects in Economic Lot Sizing

Author

Listed:
  • Eginhard J. Muth

    (University of Florida)

  • Klaus Spremann

    (Universität Ulm, Federal Republic of Germany)

Abstract

The classical square-root formula for optimal lot size is a useful tool especially for those manufacturing processes in which labor intensive items are produced in small quantities. There is a class of stationary lot sizing problems to which this formula applies. With learning effects introduced into the production cost of this class of problems the optimal lot size becomes the solution of a transcendental equation. Numerical solutions are presented as well as an approximation which has the structure of the classical formula.

Suggested Citation

  • Eginhard J. Muth & Klaus Spremann, 1983. "Note---Learning Effects in Economic Lot Sizing," Management Science, INFORMS, vol. 29(2), pages 264-269, February.
    • Handle: RePEc:inm:ormnsc:v:29:y:1983:i:2:p:264-269
    DOI: 10.1287/mnsc.29.2.264
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    Citations

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    Cited by:

    1. Selen, W.J., 1987. "A note on cost estimation errors in lot-size problems," Other publications TiSEM e1f7493c-da48-4636-a26e-4, Tilburg University, School of Economics and Management.
    2. Mazzola, Joseph B. & Neebe, Alan W. & Rump, Christopher M., 1998. "Multiproduct production planning in the presence of work-force learning," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 336-356, April.
    3. Alamri, Adel. A. & Balkhi, Zaid T., 2007. "The effects of learning and forgetting on the optimal production lot size for deteriorating items with time varying demand and deterioration rates," International Journal of Production Economics, Elsevier, vol. 107(1), pages 125-138, May.
    4. Shtub, Avraham & LeBlanc, Larry J. & Cai, Ziyong, 1996. "Scheduling programs with repetitive projects: A comparison of a simulated annealing, a genetic and a pair-wise swap algorithm," European Journal of Operational Research, Elsevier, vol. 88(1), pages 124-138, January.

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