• DocumentCode
    3520837
  • Title

    Decision Paradigms in the Semiconductor Supply Chain: A Survey and Analysis

  • Author

    Sun, Yang ; Feller, Andrew ; Shunk, Dan ; Fowler, John ; Callarman, Thomas ; Duarte, Brett

  • Author_Institution
    Arizona State Univ., Tempe
  • fYear
    2007
  • fDate
    22-25 Sept. 2007
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    An online questionnaire was used to survey the current state of decision making paradigms for the semiconductor supply chain and to identify future trends and needs. A logistic regression analysis on the survey data clearly shows that decision makers tend to use optimization techniques in the front-end planning decisions, and to make them in a slow clockspeed fashion. As products move downstream in the supply chain, it is more likely that decision makers will use their tacit knowledge to make back-end configuration and allocation decisions quickly and frequently. Survey results also showed that executives want optimization methods to be used across the supply chain, creating a need to develop heuristic-based methods that will set the stage for optimizing final allocation decisions.
  • Keywords
    decision making; optimisation; regression analysis; semiconductor device manufacture; supply chains; decision making paradigm; front-end planning decision; heuristic-based method; logistic regression analysis; optimization techniques; semiconductor supply chain; Clocks; Logistics; Optimization methods; Packaging; Regression analysis; Semiconductor device manufacture; Semiconductor device testing; Sun; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    978-1-4244-1154-2
  • Electronic_ISBN
    978-1-4244-1154-2
  • Type

    conf

  • DOI
    10.1109/COASE.2007.4341834
  • Filename
    4341834