Study and application of scheduling method for just-in-time production in flexible job shops

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The unsmooth job flow between the production shops along a manufacturing chain is a problem commonly seen in industries due to the inconsistency in processing speed and delivery between the chained production shops. With many factors involved in the coordination between production shops, the problem is complex and few solutions have been provided to date. This study presents an approach able to solve this problem by implementing time-based manufacturing that enables the speed and timing of each shop's job outflow to match those of its successor shop's job inflow. The proposed method is composed of offline schedule making and online job processing control. It aims to complete each job in a just-in-time (JIT) manner at the time the job is wanted by the next production shop. Designed upon a flexible job shop environment, which is easy to be transformed into other shops with similar characters, the proposed method is expected to be widely applicable to JIT scheduling problems. An industrial case study is made and results show that the proposed method has a strong ability in JIT job completion, tardy job prevention and makespan reduction.

本文言語English
ホスト出版物のタイトルIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
ページ318-322
ページ数5
DOI
出版ステータスPublished - 2011 12 1
イベントIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, Singapore
継続期間: 2011 12 62011 12 9

出版物シリーズ

名前IEEE International Conference on Industrial Engineering and Engineering Management
ISSN(印刷版)2157-3611
ISSN(電子版)2157-362X

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
CountrySingapore
CitySingapore
Period11/12/611/12/9

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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