seyyed heydar mirfakhradini; fatemeh azizi
Volume 13, Issue 36 , April 2015, , Pages 5-26
Abstract
Performance evaluation is a systematic review that helps organizations to achieve their goals. This study evaluates and ranks Yazd Science and Technology Park’s high-tech firms, using integration Data Envelopment Analysis into Six Sigma methodology. In this study a combination of both methods is ...
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Performance evaluation is a systematic review that helps organizations to achieve their goals. This study evaluates and ranks Yazd Science and Technology Park’s high-tech firms, using integration Data Envelopment Analysis into Six Sigma methodology. In this study a combination of both methods is used to propose more effective and efficient performance evaluation framework. By studying research literature in the field of Science and Technology Park’s firms’ performance evaluation and using Fuzzy Delphi, Effective criteria for measuring the performance of Yazd Science and Technology Park’s firms are identified, then by reviewing research literature and experts’ opinions, inputs and outputs of DEA model are identified. Then, by using combining DMAIC circle and DEA, an inclusive approach for In the analysis phase of Six Sigma evaluating performance is suggested. process ranking of firms is identified using DEA scores. This research helps firms’ managers to find the effective criteria on their performance and how they can improve these factors and control its impacts.
Sayed Heidar Mirfakhredini1; Masoud Pourhamidi; Faeze Sadat Mirfakhradini3
Volume 10, Issue 27 , January 2012, , Pages 68-93
Abstract
Despite the extensive use of failure mode and effects analysis (FMEA) inthe manufacturing and services, emphasis on the results of this method withconcern to the disadvantages such as providing definitive results is notcorrect. This paper tries to clarify the main disadvantages of FMEAconventional method ...
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Despite the extensive use of failure mode and effects analysis (FMEA) inthe manufacturing and services, emphasis on the results of this method withconcern to the disadvantages such as providing definitive results is notcorrect. This paper tries to clarify the main disadvantages of FMEAconventional method and explain the concept of cluster analysis andspecifications of different models of C-Means to classify harmful modes andeffects in the steel making factory of Iran's alloy steel company using FMEAand fuzzy clustering techniques. In this context, homogeneous harmfulmodes and effects based on occurrence, severity and frequency indicatorswith Fuzzy C-Means clustering (FCM) were identified. In this study, thefuzzy cluster analysis in terms of before and after improvement wasperformed by Data Engine 4.0 software. The results of this research will beuseful for researchers, managers, and safety professionals for developingpractical strategies in order to prevent the consequences of harmful modesand effects
