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A Noniterative Algorithm for the Multiproduct Production and Work Force Planning Problem

Author

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  • Kalyan Singhal

    (University of Baltimore, Baltimore, Maryland)

Abstract

Discrete optimal control theory is used to develop an efficient noniterative algorithm for solving the multiproduct production and work force planning problems with a quadratic cost function. The quadratic cost models allow uncertainties to be handled directly because they minimize the expected cost if unbiased expected demand forecasts are given. A real-world problem may involve as many as 200,000 variables. The noniterative algorithm makes the computations, irrespective of the number of products, not only feasible but also extremely easy and efficient.

Suggested Citation

  • Kalyan Singhal, 1992. "A Noniterative Algorithm for the Multiproduct Production and Work Force Planning Problem," Operations Research, INFORMS, vol. 40(3), pages 620-625, June.
    • Handle: RePEc:inm:oropre:v:40:y:1992:i:3:p:620-625
    DOI: 10.1287/opre.40.3.620
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    Cited by:

    1. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
    2. Singhal, Jaya & Singhal, Kalyan, 1996. "Alternate approaches to solving the Holt et al. model and to performing sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 91(1), pages 89-98, May.
    3. Song, Haiqing & Huang, Huei-Chuen, 2008. "A successive convex approximation method for multistage workforce capacity planning problem with turnover," European Journal of Operational Research, Elsevier, vol. 188(1), pages 29-48, July.

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