• DocumentCode
    1368831
  • Title

    A methodology for product mix planning in semiconductor foundry manufacturing

  • Author

    Chou, Yon-Chun ; Hong, I. Hsuan

  • Author_Institution
    Dept. of Ind. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    13
  • Issue
    3
  • fYear
    2000
  • fDate
    8/1/2000 12:00:00 AM
  • Firstpage
    278
  • Lastpage
    285
  • Abstract
    Since a semiconductor foundry plant manufactures a wide range of memory and logic products using the make-to-order business model, the product mix is an important production decision. This paper first describes the characteristics of the product mix planning problem in foundry manufacturing that are attributable to the long flow time and queuing network behaviors. The issues of time bucket selection, mix optimization and bottleneck-based planning are next addressed. A decision software system based on integer linear programming techniques and a heuristic procedure has been implemented for mix planning. Data provided by a wafer plant has been used to study problems related to product mix planning. It was determined that the suitable time bucket of planning is either one week or one month and the lead-time offset factor should be included in the logic of workload calculation. This paper also presents various facets of product mix decisions and how they should be integrated with operations management
  • Keywords
    computer aided production planning; integer programming; integrated circuit manufacture; linear programming; queueing theory; bottleneck-based planning; decision software system; flow time; heuristic procedure; integer linear programming techniques; lead-time offset factor; make-to-order business model; mix optimization; operations management; product mix planning; production decision; queuing network; semiconductor foundry manufacturing; time bucket selection; workload calculation; Cost accounting; Foundries; Integer linear programming; Logic; Production; Pulp manufacturing; Routing; Semiconductor device manufacture; Software systems; Virtual manufacturing;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/66.857936
  • Filename
    857936