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DSS approach for heterogeneous parallel machines scheduling considering proximate supply chain constraints

Author

Listed:
  • Ahlam Azzamouri
  • Najat Bara
  • Selwa Elfirdoussi
  • Imane Essaadi
  • Frédéric Fontane
  • Vincent Giard

Abstract

This paper describes the basis of a Decision Support System (DSS) designed to schedule fertiliser production orders to be delivered within time windows, in plants made up of multiple heterogeneous parallel processors (production lines), considering that fertiliser production rates and nomenclatures depend on lines, that setup times depend on sequence and lines, and taking into account downtime constraints (preventive maintenance …). A mixed linear programming model is encapsulated in the DSS which considers the schedule’s impacts, immediately upstream and downstream of plants in the supply chain. These side-effects may make the proposed solution unfeasible and the DSS helps redefining the problem to avoid them.

Suggested Citation

  • Ahlam Azzamouri & Najat Bara & Selwa Elfirdoussi & Imane Essaadi & Frédéric Fontane & Vincent Giard, 2020. "DSS approach for heterogeneous parallel machines scheduling considering proximate supply chain constraints," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5502-5520, September.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:18:p:5502-5520
    DOI: 10.1080/00207543.2019.1661539
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    Cited by:

    1. Bouzekri, Hamza & Bara, Najat & Alpan, Gülgün & Giard, Vincent, 2022. "An integrated Decision Support System for planning production, storage and bulk port operations in a fertilizer supply chain," International Journal of Production Economics, Elsevier, vol. 252(C).

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