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Optimization of Injection Molding Shop Scheduling Based on the Two-Stage Genetic Algorithm

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Jin-ping Zhou

    (Guangdong University of Technology)

  • Hu Fu

    (Guangdong University of Technology)

Abstract

Injection molding shop Scheduling is a large-scale parallel machine scheduling with process constraints, time constraints, earliness/tardiness penalties and due window constraints. Given the complexity of injection molding shop scheduling, a two-stage genetic algorithm is presented: the first stage is to partition jobs to machines, and the second stage is to sequence jobs for each machine. A simulation model for solving injection molding shop scheduling problem is proposed. For determining the optimal starting time of a single machine, a rule-based heuristic algorithm is also proposed. The application demonstrates the reliability and validity of the algorithm and simulation model.

Suggested Citation

  • Jin-ping Zhou & Hu Fu, 2013. "Optimization of Injection Molding Shop Scheduling Based on the Two-Stage Genetic Algorithm," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 59-69, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-37270-4_6
    DOI: 10.1007/978-3-642-37270-4_6
    as

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