Decision paradigms in the semiconductor supply chain: A survey and analysis

Yang Sun, Andrew Feller, John Fowler, Thomas Callarman, Brett Duarte

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Pages106-110
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 - Scottsdale, AZ, United States
Duration: Sep 22 2007Sep 25 2007

Publication series

NameProceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007

Other

Other3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Country/TerritoryUnited States
CityScottsdale, AZ
Period9/22/079/25/07

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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