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Solving production smoothing problems with a nonlinear candidate constraint method

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  • Jonathan D. Stanley
  • Awanti P. Sethi

Abstract

We solve multiperiod nonlinear production smoothing problems by combining the convex simplex method due to Zangwill and the candidate constraint method of Sethi and Thompson. We show that, for the solved problems of size up to 120 constraints and 84 variables, computational savings of 50 percent to 60 percent over the convex simplex method can be realized by combining it with the candidate constraint method. The saving is mainly due to the reduction in the effective size of the problem and in the number of iterations performed. The method is also shown to be applicable to a wide range of problems besides production smoothing.

Suggested Citation

  • Jonathan D. Stanley & Awanti P. Sethi, 1990. "Solving production smoothing problems with a nonlinear candidate constraint method," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(4), pages 579-586, August.
    • Handle: RePEc:wly:navres:v:37:y:1990:i:4:p:579-586
    DOI: 10.1002/1520-6750(199008)37:43.0.CO;2-S
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    References listed on IDEAS

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    1. Jay E. Aronson & Thomas E. Morton & Gerald L. Thompson, 1985. "A Forward Simplex Method for Staircase Linear Programs," Management Science, INFORMS, vol. 31(6), pages 664-679, June.
    2. Aronson, Jay E. & Morton, Thomas E. & Thompson, Gerald L., 1984. "A forward algorithm and planning horizon procedure for the production smoothing problem without inventory," European Journal of Operational Research, Elsevier, vol. 15(3), pages 348-365, March.
    3. Stanley, Jonathan D., 1987. "A forward convex-simplex method," European Journal of Operational Research, Elsevier, vol. 29(3), pages 328-335, June.
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