NDLI: Evaluate the Potential Suppliers' Performance Based on Heuristic Algorithm and Malmquist Model: Cased by IC Packaging and Testing Industry of Taiwan

Content Provider	IEEE Xplore Digital Library
Author	Chia-Nan Wang Hsun-Cheng Liu
Copyright Year	2009
Abstract	To enhance the performance of global supply chain is one of the important competitive strategies for many businesses. The performance evaluation of suppliers within chain has become an important subject for impacting the efficiency of chain. It is not realistic to evaluate the performance by just one short period of time. To integrate the data across years would be a better way. Moreover, the suppliers always have different resources base, such as different inputs and outputs. Therefore, the concept of efficiency of data envelop analysis (DEA) is applied for this study. This study develops a systematic method based on the combination of the Malmquist productivity index model in DEA and heuristic algorithms to evaluate performances for different based suppliers within a period of several years. The case study of 14 companies in the IC packaging and testing industry listed in Taiwan’s Stock exchange are applied to verify the feasibility of proposed method. The results show that two firms, Advanced Semiconductor Engineering Inc. and Phoenix Precision Technology, would be better potential suppliers. Therefore, this study can be used to recommend better suppliers for better efficiency performance under different base resources and cross years time frame.
Starting Page	99
Ending Page	104
File Size	228737
Page Count	6
File Format	PDF
ISBN	9780769537450
DOI	10.1109/HIS.2009.132
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Productivity Performance evaluation Data analysis Heuristic algorithms Integrated circuit testing Supply chains Taiwan Integrated circuit packaging Integrated circuit modeling Stock markets Data envelopment analysis
Content Type	Text
Resource Type	Article

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