• DocumentCode
    799620
  • Title

    Optimal lot-sizing policy with incentives for yield improvement

  • Author

    Gurnani, Haresh

  • Author_Institution
    Dept. of Manage., Univ. of Miami, Coral Gables, FL, USA
  • Volume
    18
  • Issue
    2
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    304
  • Lastpage
    308
  • Abstract
    In the semiconductor manufacturing industry, the complex process of turning microchip designs using silicon discs into working electronic components has become more difficult due to the advent of new technology in applications such as chips for the video gaming industry. In this paper, we model the problem for a firm facing a target demand from its customers. The firm may either subcontract manufacturing to an external supplier or do the production at its in-house facility. In the former case, the decision is to determine the optimal order size recognizing that the supplier faces an uncertain output due to random yield. In the latter case, the decision is to choose the optimal lot-sizing policy at its own production facility. We determine such optimal decisions for the firm. In addition, we consider the possibility of using better, but more expensive, technology to improve yields, and discuss the mechanism where the firm can provide incentive to the supplier to improve the yield.
  • Keywords
    incentive schemes; integrated circuit manufacture; integrated circuit yield; manufacturing industries; incentives; microchip designs; optimal decisions; optimal lot-sizing policy; production facility; random yield; semiconductor manufacturing industry; silicon discs; video gaming industry; yield improvement; Assembly systems; Electronic components; Electronics industry; Face recognition; Lot sizing; Manufacturing industries; Production facilities; Silicon; Subcontracting; Turning; Incentives; lot sizing; policy; random yield;
  • fLanguage
    English
  • Journal_Title
    Semiconductor Manufacturing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0894-6507
  • Type

    jour

  • DOI
    10.1109/TSM.2005.845106
  • Filename
    1427799