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Sustainability evaluation of supply chain by inverse data envelopment analysis model: a case study of the power industry
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M. Pouralizadeh   |
| Department of Applied Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran |
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Abstract: (630 Views) |
| The Pollutant emissions control and management of greenhouse gas play a fundamental role in wasted energy mitigation in the energy and power plant sectors and transmission and distribution networks. The majority of the energy consumption mostly derived from Fossil fuels. This results in extensive pollution, which endangers human health and other organisms while also reduces the economic return on industrial activities. The purpose of this study is to evaluate the sustainability of the electricity supply chain by the inverse output-oriented data envelopment analysis (DEA) model. The inverse output-oriented (DEA) model provides optimal amount of economic return order to desirable products and undesirable outputs while other factors are kept unchanged. An empirical conclusion yielded on the model’s performance in the electrical supply chains and their divisions. According to the results of the inverse output-oriented DEA model, a supply chain’ first power plan and first transmission line require an influential investment in flare gas inhibition and economic return enhancement. Also, the distribution lines confront fluctuations of power loss hence; it is recommended that specialized workforce employed to avoid power loss. |
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| Keywords: Optimal Allocation, Environmental Efficiency, Inverse DEA, Optimal Resources, Economical Return |
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Full-Text [PDF 548 kb]
(187 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2023/09/5 | Accepted: 2023/12/22
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