Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/COASE.2007.4341834 | 2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1-3 |
Keywords | Field | DocType |
decision maker,front end,logistic regression analysis,supply chains,survey data,regression analysis,supply chain | Survey data collection,Heuristic,Regression analysis,Business decision mapping,Computer-assisted web interviewing,Supply chain,Engineering,Tacit knowledge,Logistic regression,Management science,Process management | Conference |
Volume | Issue | ISSN |
null | null | 2161-8070 |
Citations | PageRank | References |
3 | 0.42 | 6 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Sun | 1 | 5 | 0.94 |
| Andrew L. Feller | 2 | 13 | 1.19 |
| Dan L. Shunk | 3 | 61 | 5.30 |
| John W. Fowler | 4 | 1185 | 129.85 |
| Thomas E. Callarman | 5 | 18 | 2.45 |
| Brett Marc Duarte | 6 | 19 | 2.15 |