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

Abdelhakim Artiba (), Valerie Dhaevers, David Duvivier and Salah E. Elmaghraby
Additional contact information
Abdelhakim Artiba: Université de Valenciennes et du Hainaut Cambrésis, UVHC – LAMIH

Chapter Chapter 19 in Planning Production and Inventories in the Extended Enterprise, 2011, pp 489-530 from Springer

Abstract: 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.

Keywords: Supply Chain; Hybrid Model; Planning Horizon; Schedule Strategy; Enterprise Resource Planning (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-8191-2_19

Ordering information: This item can be ordered from
http://www.springer.com/9781441981912

DOI: 10.1007/978-1-4419-8191-2_19

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().