A DEA Model for Estimating Directional Return to Scale in Sustainable Supply Chains: A Case Study in the Power Industry
Subject Areas : تحقیق در عملیات
1 - Department of Mathematics, Lahijan Branch, Islamic Azad University, Lahijan, Iran
Keywords: کشسانی جهتی مقیاس, زنجیره تامین, بازده به مقیاس جهتی, تغییرات نامتناسب, مرز کارای قوی,
Abstract :
One of the most important aspects of production analysis in supply chain economic activities is determining the appropriate pattern and policy to allocate resources among supply chain divisions for improving economic efficiency. How to use resources within a ratio of inputs is a critical issue for increasing economic returns and ensuring supply chain sustainability. This study aims to estimate the directional return to scale of the electricity supply chain under disproportionate changes in inputs. This is because resource allocation based on the proper proportion of inputs not only increases economic return but also causes capacity control and prevents resource losses. This paper presents two applied implementations of return-to-scale estimation of supply chain divisions in the power industry. Firstly, directional return scale estimation is useful in identifying the performance of supply chain divisions in order to control resources and protect the environment from the release of harmful pollutants. The distribution lines of supply chains displayed efficacious performance in using appropriate directions in order to increase economic efficiency. The distribution networks of 60% of supply chains had the necessary capabilities and capacities to use appropriate directions in order to enhance economic efficiency. Second, resource allocation of supply chain divisions under the right policy provides a logical solution to the available resource increase of divisions to the extent that the decision-maker can choose the direction for resource increase of supply chain divisions as a means of increasing economic return.
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