Online scheduling of flexible flow shop manufacturing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The flexible flow shop refers to such a manufacturing environment in which jobs are to be processed through serial stages, with one or multiple machines available at each stage. It is usually a complex task when specific objective is demanded such as minimum cost, minimum time, etc. Static scheduling of such problems has been much researched, however, little efforts have been made on realtime scheduling when the release time of each job is unknown. In this paper, some online scheduling methods are presented to deal with the tough problem of realtime Just- In-Time manufacturing. In addition to applicable dispatching rules, agent-based approaches are also proposed featuring feedback, learning, and realtime prediction. The simulation result reveals that the presented distributed learning approach, especially when combined with realtime prediction, delivers a high performance.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Pages112-116
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 2
Event2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 - Sanya, Hainan, China
Duration: 2009 Apr 242009 Apr 26

Publication series

NameProceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Volume1

Conference

Conference2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
CountryChina
CitySanya, Hainan
Period09/4/2409/4/26

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Theoretical Computer Science

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  • Cite this

    Weng, W., & Fujimura, S. (2009). Online scheduling of flexible flow shop manufacturing. In Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009 (pp. 112-116). [5193655] (Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009; Vol. 1). https://doi.org/10.1109/CSO.2009.254