Evaluation of environmentally conscious manufacturing programs using a three-hybrid multi-criteria decision analysis method |
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| Institution: | 1. Department of Chemical Engineering, National Institute of Technology Durgapur, 713209, India;2. Department of Management Studies, National Institute of Technology Durgapur, 713209, India;1. Departamento de Botânica, Instituto de Ciências Biológicas e da Saúde, Universidade Federal Rural do Rio de Janeiro – UFRRJ, Seropédica, RJ, 23897-000, Brazil;2. Departamento de Biologia Vegetal, Instituto de Biologia, Universidade Estadual de Campinas – UNICAMP, Campinas, SP, 13083-970, Brazil;3. Instituto de Pesquisas Jardim Botânico do Rio de Janeiro, DIPEQ, Rio de Janeiro, RJ, 22460-030, Brazil;1. Finnish Environment Institute, P.O. Box 111, FI-80101 Joensuu, Finland;2. Department of Geographical and Historical Studies, University of Eastern Finland, 80101 Joensuu, Finland;3. Finnish Environment Institute, P.O. Box 140, FI-00251 Helsinki, Finland;4. Natural Resources Institute Finland, 80101 Joensuu, Finland;1. Marine Ecosystems Research Laboratory, Zoology, Ryan Institute, School of Natural Sciences, National University of Ireland Galway, University Road, Galway, Ireland;2. Queen''s University Marine Laboratory, 12-13 The Strand, Portaferry, Newtownards, County Down BT22 1PF, Northern Ireland, UK;1. Universidade Federal de Santa Catarina, Núcleo de Estudos do Mar, 88040-900 Florianópolis, SC, Brazil;2. Universidade Federal de Santa Catarina, Departamento de Bioquímica, 88040-900 Florianópolis, SC, Brazil;3. Universidade Federal de Santa Catarina, Departamento de Química, 88040-900 Florianópolis, SC, Brazil;4. Universidade Federal de Santa Catarina, Departamento de Geociências, Laboratório de Biodiversidade e Conservação Marinha, 88040-900 Florianópolis, SC, Brazil |
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| Abstract: | Environmental management, being an important component in strategies for achieving sustainable development of processes and products, has emerged as a proactive approach in majority of the manufacturing organizations. From the strategic perspective environmentally conscious manufacturing (ECM) programs lead to better environmental management practice. The objective of the current paper is to present an integrated and holistic framework to evaluate ECM programs. This framework combines three multi-criteria decision analysis (MCDA) methods to consider eight major environmentally conscious manufacturing indicators (ECMI) in order to identify the efficiency of each ECM program. First the interdependence relationship among the ECMIs is established using decision-making trail and evaluation laboratory (DEMATEL). Then a range of weightage (i.e. upper and lower bounds) is created for each ECMI using analytic network process (ANP) to include managerial preferences. Finally, this range of weightage for each indicator is applied to perform restricted multiplier data envelopment analysis (RMDEA). Results show that the technical efficiency of the inefficient ECM programs for integrated RMDEA, on average, is calculated as 53.2% whereas traditional input oriented DEA provides the same score as 72.3%. This clearly indicates that integrated RMDEA is better than the input oriented DEA because same level of output could be produced with lesser resources if the ECM programs perform on the frontier. Hence, the advantage of this methodology is that the managerial preferences are successfully implemented through this newly developed hybrid methodology that will help to reduce less resource consumption and lead to better environmental policy. |
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| Keywords: | Environmentally conscious manufacturing programs Environmental performance indicators Decision-making trail and evaluation laboratory Analytic hierarchy process Analytic network process Data envelopment analysis |
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