Improving supplier performance using a comprehensive scheme |
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Authors: | Chang-Lin Yang |
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Institution: | 1. Department of Business Administration , Fu Jen Catholic University , No. 510, Chung-Cheng Road, Hsinchuang City, Taipei Hsien 24205, Taiwan, ROC 051125@mail.fju.edu.tw |
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Abstract: | Improving and coordinating buyer and supplier efforts to increase productivity and competitive advantage in a supply chain is an important issue. Numerous studies have proposed models, principles and criteria for supplier evaluation and selection. Hence, evaluating and improving supplier performance are important when building long-term supply chain competitiveness. This study presents a novel and comprehensive framework that illustrates the linkages between evaluating supplier performance and planning improvements. The proposed framework comprises four parts: building an evaluation model, evaluating supplier performance based on the buyer perspective, evaluating supplier performance based on the supplier perspective and scheduling improvement tasks. This study applies a hybrid genetic algorithm to help suppliers schedule improvement tasks based on the evaluation findings. Finally, evaluation data of a light-emitting diode (LED) manufacturer in Taiwan is used to interpret the procedure and verify model effectiveness. |
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Keywords: | supplier performance improvement planning genetic algorithm |
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