Future planning for benchmarking and ranking sustainable suppliers using goal programming and robust double frontiers DEA |
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| Institution: | 1. School of Management, University of Science and Technology of China, 230026 He Fei, An Hui Province, PR China\n;2. Schulich School of Business, York University, 4700 Keele Street, M3J 1P3 Toronto, Ontario, Canada\n;3. International Center for Auditing and Evaluation, Nanjing Audit University, Nanjing, PR China;4. School of Business, Worcester Polytechnic Institute, Worcester, USA;1. Department of System Engineering, Faculty of Economics, Technical University of Ostrava, Ostrava, Czech Republic;2. Department of Operations Management & Business Statistics, College of Economics and Political Science, Sultan Qaboos University, Muscat, Oman;3. FernUniversität in Hagen, Hagen, Germany;4. Faculty of Business, University of New Brunswick at Saint John, Saint John, Canada;1. Decision-Aid Department, Center for Naval Systems Analysis, Praça Barão de Ladário, s/n, Ilha das Cobras, Centro, 20091000 Rio de Janeiro, RJ, Brazil;2. Production Engineering Department, Fluminense Federal University, Rua Passo da Pátria 156, São Domingos, 24210240 Niterói, RJ, Brazil |
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| Abstract: | Decision-making for selecting sustainable suppliers has become an intricate duty. To rank sustainable suppliers and select benchmarks this paper proposes an efficiency improvement plan. Two levels of improvement plans including goals and benchmarks are presented for the suppliers. To this end, the first-level goals are obtained using goal programming (GP) and data envelopment analysis (DEA). Since inputs and outputs of the first-level goals might be imprecise, robust Charnes-Cooper-Rhodes (CCR) model is run. As a result, the benchmarks of the second-level are obtained. Then, a robust CCR inefficiency model is applied for ranking the suppliers. In fact, such a ranking capability is made by creating double-frontiers including CCR efficiency and inefficiency frontiers. Accordingly, the suppliers are ranked using the first-level goals. In the new ranking, uncertainty of the goals is considered by running robust optimization technique. The proposed approach provides technical and planning capabilities which are demonstrated by a case study. |
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| Keywords: | Sustainable suppliers Goal programming Data envelopment analysis Double frontiers Robust DEA Efficiency evaluation Benchmarking |
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