Supplier selection in agile supply chains: An information-processing model and an illustration |
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| Affiliation: | 1. Business School, Central South University, Changsha 410083, PR China;2. School of Management, Royal Holloway University of London, Egham TW20 0EX, UK;1. Department of Industrial Engineering and Management, National Taipei University of Technology, No. 1, Section 3, Chung-Hsiao East Road, Taipei, 10608, Taiwan;2. Institute of Sustainable Construction, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223, Vilnius, Lithuania;3. Institute of Management of Technology, National Chiao Tung University, 1001, University Road, Hsinchu, 300, Taiwan;4. Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, No. 151 University Rd., San Shia District, New Taipei City, 23741, Taiwan;1. Department of Industrial Management, Islamic Azad University, Central Tehran Campus, Tehran, Iran;2. Department of Industrial Engineering, Malek Ashtar University of Technology, Tehran, Iran;1. Facultad de Administración de Empresas, Universidad de Puerto Rico – Rio Piedras, San Juan, PR 00931-3332, USA;2. School of Business, Clarkson University, Potsdam, NY 13699-5790, USA;3. School of Business, Worcester Polytechnic Institute, Worcester, MA 01609, USA |
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| Abstract: | Agile supply chains need to be highly flexible in order to reconfigure quickly in response to changes in their environment. An effective supplier selection process is essential for this. This paper develops a model that helps overcome the information-processing difficulties inherent in screening a large number of potential suppliers in the early stages of the selection process. Based on radial basis function artificial neural network (RBF-ANN), the model enables potential suppliers to be assessed against multiple criteria using both quantitative and qualitative measures. Its efficacy is illustrated using empirical data from the Chinese electrical appliance and equipment manufacturing industries. |
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