Using Intelligent Algorithms to Construct a Wafer Foundry System in Manufacturing Industry

Ruey Shun Chen, Yeh-Cheng Chen, Jyh Haw Yeh, Yu-Xi Hu, Naixue Xiong, Chien-Ping Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The research combines two heuristic algorithms, COMSOAL and Priority rule-based algorithm, to design a production scheduling algorithm. Meanwhile it refers to dispatching rule and wafer start rule. Also base on the requirements and characters of wafer foundry companies, it designs proper capacity constraint model and wafer start rule to construct production planning system. Using simple, fast and flexible methods to generate reasonable and feasible production plans. The results of the research can give the wafer foundry companies several contributions. First, it shortens the execution time of generating a production plan. It improves the flexibility and efficiency of production planning. Second, the resolution of production plan is raised from the summary of manufacturing process and product type to full product name of order and demand allocation. It improves the resolution and accuracy of information analysis. Third, the planning period of wafer start plan is improved as well. Last, the frequency of production planning operation is improved from once a fortnight to once a week.
Original languageEnglish
Title of host publication 2019 3rd International Conference on Information System and Data Mining
Place of PublicationNEW YORK
PublisherAssociation for Computing Machinery
Pages1–5
Number of pages6
ISBN (Print)978-1-4503-6635-9
StatePublished - Apr 2019
Event3rd International Conference on Information System and Data Mining (ICISDM) - Univ Houston, Houston, TX, Houston, TX, United States
Duration: 6 Apr 20198 Apr 2019

Conference

Conference3rd International Conference on Information System and Data Mining (ICISDM)
CountryUnited States
CityHouston, TX
Period6/04/198/04/19

Keywords

  • OPTIMIZATION
  • INTEGRATION
  • CLOUD
  • TRANSMISSION

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