Tool planning in multiple product-mix under cycle time constraints for wafer foundries using genetic algorithm

Yai Hsiung, Muh-Cherng Wu*, Hsi Mei Hsu

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Tool planning is to determine the number of tools in each workstation for achieving some objectives. This paper formulates and solves a tooling problem in the context of multi-product mix, where the mean cycle time must be under a predefined target. Due to demand variation, a wafer foundry frequently faces the need to manufacture in various product-mix. Previous literature has addressed the issue of multiple product-mix, yet the cycle time constraint has not been considered. Cycle time is a key performance index for wafer foundries and should not be ignored in their tool planning. We propose a genetic algorithm based solution methodology embedded with a queuing analysis to solve the problem. Test examples reveals that the proposed solution greatly outperforms that obtained by a single product mix planning.

Original languageEnglish
Pages (from-to)174-183
Number of pages10
JournalJournal of the Chinese Institute of Industrial Engineers
Volume23
Issue number2
DOIs
StatePublished - 1 Jan 2006

Keywords

  • Cycle time
  • GA (genetic algorithm)
  • Multiple product mix
  • Tool planning
  • Wafer foundry

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