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
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