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
Link To Document :
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