A Fuzzy Multi-Objective Multi-Period Common Weight Network DEA Model to Measure the Environmental Efficiency of Iran's Oil Refineries
In this paper, a methodology is proposed to measure the efficiency ofnational energy sector in IRAN. The technical and environmentalperformance of the oil refineries in IRAN as a major producer of energy andfuel are evaluated based on data from years 2010 to 2013. In this study, afuzzy multi-objecti...
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Allameh Tabataba'i University Press
2016-09-01
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Series: | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
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Online Access: | https://jims.atu.ac.ir/article_5718_9b4a394bfeb1cc04fef422cf03151319.pdf |
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author | Amineh Hosseini Kaveh Khalili-Damghani Ali Emami Meibodi |
author_facet | Amineh Hosseini Kaveh Khalili-Damghani Ali Emami Meibodi |
author_sort | Amineh Hosseini |
collection | DOAJ |
description | In this paper, a methodology is proposed to measure the efficiency ofnational energy sector in IRAN. The technical and environmentalperformance of the oil refineries in IRAN as a major producer of energy andfuel are evaluated based on data from years 2010 to 2013. In this study, afuzzy multi-objective multi-period common weight network dataenvelopment analysis approach is proposed and customized to evaluate theperformance of oil refineries. A certain scenario, called food-production inwhich a refinery is assumed as a decision making unit (DMU) consuminginputs to produce outputs, is considered to evaluate the technical andenvironmental performance in presence of undesirable outputs. The maincontribution of this study are summarized as: (1) Proposing a multiobjectivecommon weight DEA model in order to determine the weights ofinputs and outputs in a single run; (2) Calculating the long term efficiencyscores during a multiple-periods of planning incorporating dynamic natureof inputs and outputs; (3) Handling a compromise solution using fuzzymathematical programming to address multi-objective mathematicalprogramming; (4) Proposing a linear mathematical programming to achievethe global optimum solutions; (5) Enhancing the discrimination power of theDEA models; (6) Reducing the computational time of modeling and solutionprocedure; (7) incorporating effective criteria in the modeling procedure.The analysis of case study presents the efficacy and applicability ofproposed method in comparison with existing classic models. |
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language | fas |
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series | Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī |
spelling | doaj.art-2877a826031e4f728f16442d0678c7d42024-01-03T04:44:35ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292476-602X2016-09-0114421231675718A Fuzzy Multi-Objective Multi-Period Common Weight Network DEA Model to Measure the Environmental Efficiency of Iran's Oil RefineriesAmineh Hosseini0Kaveh Khalili-Damghani1Ali Emami Meibodi2کارشناسی ارشد مهندسی صنایع واحد تهران جنوباستادیار مهندسی صنایع دانشگاه آزاد اسلامی واحد تهران جنوبدانشیار اقتصاد دانشکده اقتصاد دانشگاه علامه طباطباییIn this paper, a methodology is proposed to measure the efficiency ofnational energy sector in IRAN. The technical and environmentalperformance of the oil refineries in IRAN as a major producer of energy andfuel are evaluated based on data from years 2010 to 2013. In this study, afuzzy multi-objective multi-period common weight network dataenvelopment analysis approach is proposed and customized to evaluate theperformance of oil refineries. A certain scenario, called food-production inwhich a refinery is assumed as a decision making unit (DMU) consuminginputs to produce outputs, is considered to evaluate the technical andenvironmental performance in presence of undesirable outputs. The maincontribution of this study are summarized as: (1) Proposing a multiobjectivecommon weight DEA model in order to determine the weights ofinputs and outputs in a single run; (2) Calculating the long term efficiencyscores during a multiple-periods of planning incorporating dynamic natureof inputs and outputs; (3) Handling a compromise solution using fuzzymathematical programming to address multi-objective mathematicalprogramming; (4) Proposing a linear mathematical programming to achievethe global optimum solutions; (5) Enhancing the discrimination power of theDEA models; (6) Reducing the computational time of modeling and solutionprocedure; (7) incorporating effective criteria in the modeling procedure.The analysis of case study presents the efficacy and applicability ofproposed method in comparison with existing classic models.https://jims.atu.ac.ir/article_5718_9b4a394bfeb1cc04fef422cf03151319.pdftechnical-environmental efficiencyoil refineriescommon weight deamulti objective deamutli-period dea |
spellingShingle | Amineh Hosseini Kaveh Khalili-Damghani Ali Emami Meibodi A Fuzzy Multi-Objective Multi-Period Common Weight Network DEA Model to Measure the Environmental Efficiency of Iran's Oil Refineries Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī technical-environmental efficiency oil refineries common weight dea multi objective dea mutli-period dea |
title | A Fuzzy Multi-Objective Multi-Period Common Weight Network
DEA Model to Measure the Environmental Efficiency of Iran's
Oil Refineries |
title_full | A Fuzzy Multi-Objective Multi-Period Common Weight Network
DEA Model to Measure the Environmental Efficiency of Iran's
Oil Refineries |
title_fullStr | A Fuzzy Multi-Objective Multi-Period Common Weight Network
DEA Model to Measure the Environmental Efficiency of Iran's
Oil Refineries |
title_full_unstemmed | A Fuzzy Multi-Objective Multi-Period Common Weight Network
DEA Model to Measure the Environmental Efficiency of Iran's
Oil Refineries |
title_short | A Fuzzy Multi-Objective Multi-Period Common Weight Network
DEA Model to Measure the Environmental Efficiency of Iran's
Oil Refineries |
title_sort | fuzzy multi objective multi period common weight network dea model to measure the environmental efficiency of iran s oil refineries |
topic | technical-environmental efficiency oil refineries common weight dea multi objective dea mutli-period dea |
url | https://jims.atu.ac.ir/article_5718_9b4a394bfeb1cc04fef422cf03151319.pdf |
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