A FUZZY MULTI-OBJECTIVE MULTI-PERIOD COMMON WEIGHT NETWORK DEA MODEL TO MEASURE THE ENVIRONMENTAL EFFICIENCY OF IRAN'S OIL REFINERIES

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Hosseini Amineh; Khalili Damghani Kaveh; EMAMI MEIBODI ALI

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Journal: JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES Year:2016 | Volume:14 | Issue:42 Page(s): 123-167

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Information Journal Paper

Title

A FUZZY MULTI-OBJECTIVE MULTI-PERIOD COMMON WEIGHT NETWORK DEA MODEL TO MEASURE THE ENVIRONMENTAL EFFICIENCY OF IRAN'S OIL REFINERIES

Author(s)

Hosseini Amineh | Khalili Damghani Kaveh | EMAMI MEIBODI ALI | Issue Writer Certificate

Keywords

TECHNICAL-ENVIRONMENTAL EFFICIENCYQ1

OIL REFINERIESQ1

COMMON WEIGHT DEAQ1

MULTI OBJECTIVE DEAQ1

MUTLI-PERIOD DEAQ1

Abstract

In this paper, a methodology is proposed to measure the efficiency of national energy sector in IRAN. The technical and environmental performance of the OIL REFINERIES in IRAN as a major producer of energy and fuel are evaluated based on data from years 2010 to 2013. In this study, a fuzzy multi-objective multi-period common weight network data envelopment analysis approach is proposed and customized to evaluate the performance of OIL REFINERIES. A certain scenario, called food-production in which a refinery is assumed as a decision making unit (DMU) consuming inputs to produce outputs, is considered to evaluate the technical and environmental performance in presence of undesirable outputs. The main contribution of this study are summarized as: (1) Proposing a multi-objective COMMON WEIGHT DEA model in order to determine the weights of inputs and outputs in a single run; (2) Calculating the long term efficiency scores during a multiple-periods of planning incorporating dynamic nature of inputs and outputs; (3) Handling a compromise solution using fuzzy mathematical programming to address multi-objective mathematical programming; (4) Proposing a linear mathematical programming to achieve the global optimum solutions; (5) Enhancing the discrimination power of the DEA models; (6) Reducing the computational time of modeling and solution procedure; (7) incorporating effective criteria in the modeling procedure. The analysis of case study presents the efficacy and applicability of proposed method in comparison with existing classic models.

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APA: Copy

Hosseini, Amineh, Khalili Damghani, Kaveh, & EMAMI MEIBODI, ALI. (2016). A FUZZY MULTI-OBJECTIVE MULTI-PERIOD COMMON WEIGHT NETWORK DEA MODEL TO MEASURE THE ENVIRONMENTAL EFFICIENCY OF IRAN'S OIL REFINERIES. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, 14(42 ), 123-167. SID. https://sid.ir/paper/213280/en

Vancouver: Copy

Hosseini Amineh, Khalili Damghani Kaveh, EMAMI MEIBODI ALI. A FUZZY MULTI-OBJECTIVE MULTI-PERIOD COMMON WEIGHT NETWORK DEA MODEL TO MEASURE THE ENVIRONMENTAL EFFICIENCY OF IRAN'S OIL REFINERIES. JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES[Internet]. 2016;14(42 ):123-167. Available from: https://sid.ir/paper/213280/en

IEEE: Copy

Amineh Hosseini, Kaveh Khalili Damghani, and ALI EMAMI MEIBODI, “A FUZZY MULTI-OBJECTIVE MULTI-PERIOD COMMON WEIGHT NETWORK DEA MODEL TO MEASURE THE ENVIRONMENTAL EFFICIENCY OF IRAN'S OIL REFINERIES,” JOURNAL OF INDUSTRIAL MANAGEMENT STUDIES, vol. 14, no. 42 , pp. 123–167, 2016, [Online]. Available: https://sid.ir/paper/213280/en

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