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Capacity smoothing and job shop scheduling with backlog carryover and job prioritisation: a case study from the carbon graphite processing industry

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  • Michael Jahr
  • Sebastian Fußel

Abstract

In this paper, we consider the job shop scheduling problem (JSSP) in single-stage production with n-jobs and m-parallel unrelated machines. We present a specific multi-objective nonlinear binary optimisation model for a real-life case study from the carbon graphite processing industry. In particular, we develop a trade-off objective function with job prioritisation subject to capacity constraints and backlog carryover, implemented in the GAMS standard optimisation software package and solved with the BARON solver. The approach is compared to an adjusted Moore-Hodgson heuristics and the company's existing first come first serve-based procedure. The application of the model on a realistic data set and the analysis of the results validate that the presented approach is efficient.

Suggested Citation

  • Michael Jahr & Sebastian Fußel, 2024. "Capacity smoothing and job shop scheduling with backlog carryover and job prioritisation: a case study from the carbon graphite processing industry," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 50(3), pages 316-331.
    • Handle: RePEc:ids:ijores:v:50:y:2024:i:3:p:316-331
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