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Machine-based production scheduling for rotomoulded plastics manufacturing

Author

Listed:
  • Mark Baxendale
  • James M. McGree
  • Aaron Bellette
  • Paul Corry

Abstract

In this paper, production scheduling for rotomoulded plastics manufacturing in a multi-machine environment is considered. The objective is to minimise total tardiness. The problem has some commonality with hybrid flow shop scheduling with batching, where additional constraints are needed to control which machines may be used at each stage. The problem is shown to be NP-hard and is formulated as a mixed integer program. Given consequently large solve times to obtain optimal solutions, simulated annealing and tabu search algorithms were developed alongside a constructive heuristic to obtain near-optimal solutions within a practical time-frame. The solution algorithms were tuned and tested using randomly generated problem instances. The best results in terms of solution quality were generally obtained by simulated annealing. The problem instances were generated to be representative of a real production environment located in Queensland, Australia.

Suggested Citation

  • Mark Baxendale & James M. McGree & Aaron Bellette & Paul Corry, 2021. "Machine-based production scheduling for rotomoulded plastics manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1301-1318, March.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:5:p:1301-1318
    DOI: 10.1080/00207543.2020.1727046
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