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Fast Computational Procedure for Solving Multi-Item Single-Machine Lot Scheduling Optimization Problems

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Abstract

In this paper, we deal with the numerical solution of the optimal scheduling problem in a multi-item single machine. We develop a method of discretization and a computational procedure which allows us to compute the solution in a short time and with a precision of order k, where k is the discretization size. In our method, the nodes of the triangulation mesh are joined by segments of trajectories of the original system. This special feature allows us to obtain precision of order k, which is in general impossible to achieve by usual methods. Also, we develop a highly efficient algorithm which converges in a finite number of steps.

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References

  1. Gonzalez, R. L. V., Muramatsu, K., and Rofman, E., Quasi-Variational Inequality Approach to Multi-Item Single-Machine Lot Scheduling Problems, Rapport de Recherche 2057, INRIA, Rocquencourt, France, 1993.

    Google Scholar 

  2. Capuzzo Dolcetta, I., and Evans, L. C., Optimal Switching for Ordinary Differential Equations, SIAM Journal on Control and Optimization, Vol. 22, pp. 143–161, 1984

    Google Scholar 

  3. Gonzalez, R. L. V., and Rofman, E., Sur des Solutions non Bornées de l'Equation de Bellman Associée aux Problèmes de Commutation Optimale avec Contraints sur l'Etât, Comptes Rendus de l'Académie des Sciences de Paris, Serie I, Vol. 316, pp. 1193–1198, 1993.

    Google Scholar 

  4. Gonzalez, R. L. V., and Rofman, E., On Unbounded Solutions of Bellman's Equation Associated to Optimal Switching Control Problems with State Constraints, Journal of Applied Mathematics and Optimization, Vol. 31, pp. 1–17, 1995,.

    Google Scholar 

  5. Gonzalez, R. L. V., Muramatsu, K., and Rofman, E., Quasi-Variational Inequality Approach to Multi-Item Single-Machine Lot Scheduling Problems, Lecture Notes in Control and Information Sciences, Springer Verlag, New York, New York, Vol. 280, pp. 885–893, 1992.

    Google Scholar 

  6. Fleming, W. H., and Rishel, R. W., Deterministic and Stochastic Optimal Control, Springer Verlag, New York, New York, 1975.

    Google Scholar 

  7. Capuzzo Dolcetta, I., and Lions, P. L., Hamilton-Jacobi Equations with State Constraints, Transactions of the American Mathematical Society, Vol. 318, pp. 643–683, 1990

    Google Scholar 

  8. Soner, H. M., Optimal Control Problems with State Space Constraint, I, SIAM Journal on Control and Optimization, Vol. 24, pp. 551–561, 1987.

    Google Scholar 

  9. Friedman, A., Differential Games, Wiley-Interscience, New York, New York, 1971.

    Google Scholar 

  10. Capuzzo Dolcetta, I., and Ishii, H., Approximate Solution of the Bellman Equation of Deterministic Control Theory, Journal of Applied Mathematics and Optimization, Vol. 11, pp. 161–181, 1984

    Google Scholar 

  11. Kushner, H. J., and Dupuis, F., Numerical Methods for Stochastic Control Problems in Continuous Time, Springer Verlag, New York, New York, 1992.

    Google Scholar 

  12. Hanouzet, B., and Joly, J. L., Convergence Uniforme des Iterés Definissant la Solution d'une Inéquation Quasi-Variationelle Abstracte, Comptes Rendus de l'Académie des Sciences de Paris, Serie A, Vol. 286, pp. 735–738, 1978.

    Google Scholar 

  13. Gonzalez, R. L. V., and Rofman, E., On Deterministic Control Problems: An Approximation Procedure for the Optimal Cost, Parts 1–2, SIAM Journal on Control and Optimization, Vol 23, pp. 242–285, 1985.

    Google Scholar 

  14. Gonzalez, R. L. V., and Tidball, M. M., Sur l'Ordre de Convergence des Solutions Discrétisées en Temps et en Espace de l'Equation de Hamilton-Jacobi, Comptes Rendus de l'Académie des Sciences de Paris, Serie I, Vol. 314, pp. 479–482, 1992.

    Google Scholar 

  15. Menaldi, J. L., Some Estimates for Finite Difference Approximations, SIAM Journal on Control and Optimization, Vol. 27, pp. 579–607, 1989.

    Google Scholar 

  16. Souganidis, P. E., Approximation Schemes for Viscosity Solutions of Hamilton-Jacobi Equations, Journal of Differential Equations, Vol. 59, pp. 1–43, 1985.

    Google Scholar 

  17. Ciarlet, P. G., Discrete Maximum Principle for Finite-Difference Operators, Aequationes Mathematicae, Vol. 4, pp. 338–352, 1970.

    Google Scholar 

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Aragone, L.S., Gonzalez, R.L.V. Fast Computational Procedure for Solving Multi-Item Single-Machine Lot Scheduling Optimization Problems. Journal of Optimization Theory and Applications 93, 491–515 (1997). https://doi.org/10.1023/A:1022682711077

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