Evaluating the Green Suppliers of the Printed Circuit Board Factories Base on the Fuzzy Analytic Hierarchy Process and Vlsekriterijumska Optimizacija I Kompromisno Resenje
Jun-Yuan Kuo, Ben-Chang Shia, Yun-Chin Chen and Jou-Ying Ho
DOI : 10.3844/ajassp.2011.246.253
American Journal of Applied Sciences
Volume 8, Issue 3
Problem statement: The “Energy Policy for Europe, EPE” and three environmental directives, proposed by the European Union (EU) in 2007, are stricter than those self-restrained by the enterprises. For this reason, the enterprises have to shortly improve their products for meeting with the strict requests setup by the EU. Consequently, it becomes even more important that the manufacturers evaluate the green suppliers. Approach: Through arranging the index literatures for evaluating the green suppliers and applying the Fuzzy Analytic Hierarchy Process (FAHP) and the Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) in this study, it will be discussed that the Printed Circuit Board (PCB) company in this case study evaluates and assesses the performances of three types of green suppliers (the suppliers of processing machine tools, the suppliers of raw materials and the suppliers of maintenance spare parts). The weight of performance indicators was derived by FAHP method, which were input to the VIKOR method for evaluate the performance of three types of green suppliers. Results: The research results, which the company in this case study assessed at the suppliers of the equipment machine tools, the raw materials and the spare parts, show that the satisfaction of the suppliers of raw materials is superior to the suppliers of equipment machine tools and even better than that of the suppliers of spare parts. Conclusion/Recommendations: The feasibility green supplier of performance evaluation method was presented through a real scenario, which can help the PCB procurements make objectively and distinguish the disadvantages and advantages of the green suppliers.
© 2011 Jun-Yuan Kuo, Ben-Chang Shia, Yun-Chin Chen and Jou-Ying Ho. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.