Production Control Methods for Time-based Manufacturing in a Real Factory

Wei Weng, Junru Chen, Meimei Zheng, Shigeru Fujimura

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

Abstract

This study is aimed to smooth the job flow between consecutive production shops along a production line. We propose solutions to a factory that wants an upstream shop to complete every job at a timing that the downstream shop can process the job. We model the upstream shop as a reentrant flexible job shop and propose three online executable methods forming a control system. One is a due date setting method that estimates the flow time of a job by making a quick schedule of jobs in bottleneck workstations. Another is a dispatching rule that sequences jobs according to urgency degree. The other is a heuristic that controls the start time of processing the final operation in a job. Simulations by using data from the factory show that each method is superior to its rivals in the literature, and when working together, the methods can not only complete jobs at the desired timings but also reach instantly far better solutions than metaheuristics customized for solving similar problems.

Original languageEnglish
Title of host publication2020 4th International Conference on Automation, Control and Robots, ICACR 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages102-106
Number of pages5
ISBN (Electronic)9781728192079
DOIs
Publication statusPublished - 2020 Oct 11
Externally publishedYes
Event4th International Conference on Automation, Control and Robots, ICACR 2020 - Rome, Italy
Duration: 2020 Oct 112020 Oct 13

Publication series

Name2020 4th International Conference on Automation, Control and Robots, ICACR 2020

Conference

Conference4th International Conference on Automation, Control and Robots, ICACR 2020
CountryItaly
CityRome
Period20/10/1120/10/13

Keywords

  • Reentrant flexible job shop
  • case study
  • dispatching rules
  • due date setting
  • just-in-time production

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Mechanical Engineering
  • Control and Optimization

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