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Using Analytic Hierarchical Process for Scheduling Problems Based on Smart Lots and Their Quality Prediction Capability

  • Emmanuel ZimmermannEmail author
  • Hind Bril El-Haouzi
  • Philippe Thomas
  • Rémi Pannequin
  • Mélanie Noyel
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 803)

Abstract

The scheduling problem in manufactories with high rework rates remains an actual complex research source. This paper presents a combination of a predictive schedule with proactive decision making based on smart lots. Each batch embeds an algorithm which allows predicting the risk of rework on the next workstation. If the risk of rework is above a defined threshold, a collaborative re-scheduling decision, using analytic hierarchical process (AHP), is initiated for the other batches. A simulation model, inspired from a lacquering robot case study is described. Then, the results of different scenarios are presented and discussed.

Keywords

Proactive decision making Analytic Hierarchical Process (AHP) Quality prediction Smart lots 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Emmanuel Zimmermann
    • 1
    • 2
    Email author
  • Hind Bril El-Haouzi
    • 1
  • Philippe Thomas
    • 1
  • Rémi Pannequin
    • 1
  • Mélanie Noyel
    • 2
  1. 1.Université de Lorraine, CRAN, UMR 7039Vandœuvre-lès-NancyFrance
  2. 2.Acta-Mobilier, Parc d’activité Macherin Auxerre NordMonéteauFrance

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