Article ID: | iaor20082986 |
Country: | United Kingdom |
Volume: | 45 |
Issue: | 20 |
Start Page Number: | 4735 |
End Page Number: | 4752 |
Publication Date: | Jan 2007 |
Journal: | International Journal of Production Research |
Authors: | Yang Ching-Chow, Lin Wen-Tsann, Pai Fan-Yun, Yeh Tsu-Ming |
Keywords: | fuzzy sets |
Many semiconductor-related manufacturing enterprises in Taiwan have embarked upon the implementation of enterprise resource planning (ERP) to integrate and optimize various business processes across the entire firm. The present study proposes a performance-evaluation model of ERP implementation utilizing fuzzy measures. The paper then presents an empirical study of semiconductor-related manufacturers in Taiwan in which the proposed model is used to: (i) identify the critical implementation items requiring improvement; and (ii) rank the strategies for improving them according to weight value. A systematic approach is thus proposed to: (i) examine the performance of an ERP implementation process; (ii) determine the items to be improved; and (iii) select appropriate and feasible strategies to improve these items. The proposed model can ensure successful implementation of ERP and thus enhance its potential benefits for semiconductor manufacturers.