Using Regression Analysis to analyze Cycle Time-A Case Study of Company C
碩士 === 國立交通大學 === 管理學院碩士在職專班工業工程與管理組 === 98 === Cycle time is one of the most important indexes for evaluating the achievement of an enterprise and it must be monitored continuously. In many factories, the producing environments often change by a lot of complicated reasons. Thus, it is hard to predi...
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ndltd-TW-098NCTU50310642016-04-18T04:21:37Z http://ndltd.ncl.edu.tw/handle/53892137884267081745 Using Regression Analysis to analyze Cycle Time-A Case Study of Company C 運用迴歸分析分析生產週期時間-以C公司為例 Chang, Ting-Yi 張定一 碩士 國立交通大學 管理學院碩士在職專班工業工程與管理組 98 Cycle time is one of the most important indexes for evaluating the achievement of an enterprise and it must be monitored continuously. In many factories, the producing environments often change by a lot of complicated reasons. Thus, it is hard to predict the cycle time accurately. In general, cycle time is often predicted by experienced engineers. In this situation, however, the prediction of the cycle time maybe subjective and the experience may not be able to pass to other engineers. Hence, the main objective of this study is to constructing a reliable prediction model of cycle time. First, all production information in the factory are assembled and the key factors for cycle time are identified using stepwise regression analysis. The confidence interval of the cycle time is then obtained via the regression model. Moreover, engineers can enhance the accuracy of prediction model by controlling the key factors found through the stepwise regression analysis. A real case from an IC packaging and testing company is used to illustrate the effectiveness of the proposed method. Tong, Lee-Ing 唐麗英 2010 學位論文 ; thesis 28 zh-TW |
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碩士 === 國立交通大學 === 管理學院碩士在職專班工業工程與管理組 === 98 === Cycle time is one of the most important indexes for evaluating the achievement of an enterprise and it must be monitored continuously. In many factories, the producing environments often change by a lot of complicated reasons. Thus, it is hard to predict the cycle time accurately. In general, cycle time is often predicted by experienced engineers. In this situation, however, the prediction of the cycle time maybe subjective and the experience may not be able to pass to other engineers. Hence, the main objective of this study is to constructing a reliable prediction model of cycle time. First, all production information in the factory are assembled and the key factors for cycle time are identified using stepwise regression analysis. The confidence interval of the cycle time is then obtained via the regression model. Moreover, engineers can enhance the accuracy of prediction model by controlling the key factors found through the stepwise regression analysis. A real case from an IC packaging and testing company is used to illustrate the effectiveness of the proposed method.
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author2 |
Tong, Lee-Ing |
author_facet |
Tong, Lee-Ing Chang, Ting-Yi 張定一 |
author |
Chang, Ting-Yi 張定一 |
spellingShingle |
Chang, Ting-Yi 張定一 Using Regression Analysis to analyze Cycle Time-A Case Study of Company C |
author_sort |
Chang, Ting-Yi |
title |
Using Regression Analysis to analyze Cycle Time-A Case Study of Company C |
title_short |
Using Regression Analysis to analyze Cycle Time-A Case Study of Company C |
title_full |
Using Regression Analysis to analyze Cycle Time-A Case Study of Company C |
title_fullStr |
Using Regression Analysis to analyze Cycle Time-A Case Study of Company C |
title_full_unstemmed |
Using Regression Analysis to analyze Cycle Time-A Case Study of Company C |
title_sort |
using regression analysis to analyze cycle time-a case study of company c |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/53892137884267081745 |
work_keys_str_mv |
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