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Communication Dans Un Congrès Année : 2018

Using AHP process for scheduling problem based on smart lots and their quality prediction capability

Résumé

Scheduling problem in manufacturing companies with high rework rates remains an actual complex research source. This paper presents a method combining a predictive schedule to a proactive decision making based on smart lots. Each batch embed an algorithm allowing it to predict its quality on the next workstation. As soon as a lot determines that its process is too hazardous a collaborative rescheduling decision, using analytic hierarchical process, is initiated with its peer. A simulation model, inspired from a lacquering robot case study is described. Then, the results of different scenarios are presented and discussed.
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Dates et versions

hal-01823501 , version 1 (26-06-2018)

Identifiants

  • HAL Id : hal-01823501 , version 1

Citer

Emmanuel Zimmermann, Hind Bril, Philippe Thomas, Rémi Pannequin, Melanie Noyel. Using AHP process for scheduling problem based on smart lots and their quality prediction capability. 8th Workshop on Service Orientation in Holonic and Multi-agent Manufacturing, SOHOMA'18, Jun 2018, Bergamo, Italy. ⟨hal-01823501⟩
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