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A Multi-Model Approach for Production Planning and Scheduling in an Industrial Environment

In: Planning Production and Inventories in the Extended Enterprise

Author

Listed:
  • Abdelhakim Artiba

    (Université de Valenciennes et du Hainaut Cambrésis, UVHC – LAMIH)

  • Valerie Dhaevers
  • David Duvivier
  • Salah E. Elmaghraby

Abstract

This Chapter Reports On A Real-Life Implementation Of A Planning-Cum-Scheduling System In A Discrete-Continuous Industry That Produces Rolled Steel Wire And Cable Of Different Qualities And Specifications. The Chapter Describes In Some Detail The Industrial Environment Of The Application, The Experimentation That Was Conducted Prior To Implementation In Order To Tune The Various Parameters Of The Decision-Support System, And The Operational Problems That Arise Which Demand Careful Planning As Well As Dynamic Corrective Action. We Present A Multi-Model Approach That Combines Optimization Modules With Heuristic, Meta-Heuristic, Simulation And Multi-Criteria Modules In A Coherent Planning And Scheduling System Together With A Novel Architecture Of The Information-Decision Process. A Description Of The Different Models Collaborating At Different Decision Levels Is Also Given. The Implementation Of The Information/Control System Together With The Results Obtained To Date From The System Is Discussed. We Highlight The Advantages And Limitations Of The Current Version Of The System Design And Conclude With The Current Avenues Of Investigation, Which We Are Pursuing In Cooperation With The Enterprise, And The Anticipated Future Developments.

Suggested Citation

  • Abdelhakim Artiba & Valerie Dhaevers & David Duvivier & Salah E. Elmaghraby, 2011. "A Multi-Model Approach for Production Planning and Scheduling in an Industrial Environment," International Series in Operations Research & Management Science, in: Karl G Kempf & Pınar Keskinocak & Reha Uzsoy (ed.), Planning Production and Inventories in the Extended Enterprise, chapter 0, pages 489-530, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-8191-2_19
    DOI: 10.1007/978-1-4419-8191-2_19
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    Cited by:

    1. Duvivier, D. & Meskens, N. & Ahues, M., 2013. "A fast multicriteria decision-making tool for industrial scheduling problems," International Journal of Production Economics, Elsevier, vol. 145(2), pages 753-760.

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