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A hybrid job shop procedure for a Belgian manufacturing company producing industrial wheels and castors in rubber

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  • V. SELS
  • F. STEEN
  • M. VANHOUCKE

Abstract

In this paper, a new procedure to solve a job shop scheduling problem at a Belgian manufacturer producing industrial wheels and castors in rubber is presented. The procedure is an extension of a hybrid shifting bottleneck procedure with a tabu search algorithm while incorporating various company specific constraints. The various extensions to cope with the company specific constraints have a strong similarity with the complex job shop problem formulation of Mason et al. (2002). The new procedure is used as a simulation engine to test the relevance of various scenarios in order to improve the current planning approach of the company. A detailed computational experiment highlights the main contribution of the novel procedure for the company.

Suggested Citation

  • V. Sels & F. Steen & M. Vanhoucke, 2010. "A hybrid job shop procedure for a Belgian manufacturing company producing industrial wheels and castors in rubber," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/678, Ghent University, Faculty of Economics and Business Administration.
    • Handle: RePEc:rug:rugwps:10/678
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    File URL: http://wps-feb.ugent.be/Papers/wp_10_678.pdf
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    Cited by:

    1. Sels, Veronique & Craeymeersch, Kjeld & Vanhoucke, Mario, 2011. "A hybrid single and dual population search procedure for the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 215(3), pages 512-523, December.
    2. Habibeh Nazif, 2015. "Solving Job Shop Scheduling Problem Using an Ant Colony Algorithm," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 5(5), pages 261-268, May.

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