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Online scheduling of flexible job-shops with blocking and transportation

Author

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  • Jens Poppenborg
  • Sigrid Knust
  • Joachim Hertzberg

Abstract

This paper deals with online scheduling of a flexible job-shop with blocking where jobs are transported between the machines by one or several automated guided vehicles. The objective is to minimise the total weighted tardiness of the jobs. Schedules have to be generated online (i.e., jobs only become known to the scheduler at their respective release dates) as well as in real time (i.e., only a limited amount of computation time is allowed). We propose a MIP formulation for the offline situation and an online Tabu search algorithm that decomposes the problem into an assignment and a scheduling subproblem. In some computational experiments online and offline algorithms are compared for various problem instances. [Received 17 May 2010; Revised 24 November 2010; Accepted 24 February 2011]

Suggested Citation

  • Jens Poppenborg & Sigrid Knust & Joachim Hertzberg, 2012. "Online scheduling of flexible job-shops with blocking and transportation," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 6(4), pages 497-518.
    • Handle: RePEc:ids:eujine:v:6:y:2012:i:4:p:497-518
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    Cited by:

    1. Mogali, Jayanth Krishna & Barbulescu, Laura & Smith, Stephen F., 2021. "Efficient primal heuristic updates for the blocking job shop problem," European Journal of Operational Research, Elsevier, vol. 295(1), pages 82-101.

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