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Computational Results for Shops with Single and Parallel Machine Workcenters

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Decomposition Methods for Complex Factory Scheduling Problems
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Abstract

In this chapter, we present computational experiments to evaluate the performance of the decomposition procedures developed in the previous chapter. The procedures are used to solve a large number of randomly generated problems based on data obtained from a major semiconductor company. These results indicate that the tailored decomposition procedures DEC and DECwR significantly outperform both myopic and extended dispatching rules both on average and in the worst case.

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References

  • Ovacik, I.M., Uzsoy, R., “Rolling Horizon Procedures for Dynamic Parallel Machine Problems with Sequence Dependent Setup Times”, International Journal of Production Research 33, 3173–3192 (1995).

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  • Uzsoy, R., Church, LK., Ovacik, I.M., Hinchman, J., “Performance Evaluation of Dispatching Rules for Semiconductor Testing Operations”, Journal of Electronics Manufacturing 3, 95–105 (1993).

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© 1997 Springer Science+Business Media New York

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Ovacik, I.M., Uzsoy, R. (1997). Computational Results for Shops with Single and Parallel Machine Workcenters. In: Decomposition Methods for Complex Factory Scheduling Problems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6329-7_11

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  • DOI: https://doi.org/10.1007/978-1-4615-6329-7_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7906-5

  • Online ISBN: 978-1-4615-6329-7

  • eBook Packages: Springer Book Archive

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