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A Free-Slack-Based Genetic Algorithm for the Robotic Cell Problem with Controllable Processing Times

In: Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Author

Listed:
  • Mohammed Al-Salem

    (Qatar University)

  • Mohamed Haouari

    (Qatar University)

  • Mohamed Kharbeche

    (Qatar University)

  • Wael Khallouli

    (Qatar University)

Abstract

We present a novel genetic algorithm for the Robotic Cell Problem with controllable processing times. This challenging problem arises in an automated production cell that consists of m consecutive machines as well as a material handling robot. The problem requires finding the operations processing times, job assignment, and robot movements. The objective is to minimize the makespan subject to a budget constraint. We describe a free-slack-based genetic algorithm for the linear resource consumption case. We present the results of a computational study and we provide evidence that the proposed algorithm consistently outperforms MIP-based heuristics from the literature.

Suggested Citation

  • Mohammed Al-Salem & Mohamed Haouari & Mohamed Kharbeche & Wael Khallouli, 2016. "A Free-Slack-Based Genetic Algorithm for the Robotic Cell Problem with Controllable Processing Times," International Series in Operations Research & Management Science, in: Ghaith Rabadi (ed.), Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling, edition 1, chapter 0, pages 77-93, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-26024-2_4
    DOI: 10.1007/978-3-319-26024-2_4
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