Fatemeh Amirbeygi; Seyyed Hosein Seyyed Esfahani; Behrooz Khorshidvand
Abstract
Environmental pollution and the deterioration of natural resources are now considered significant challenges in human societies. In fact, environmental pollution is mainly caused by manufacturing industries. Most industries (e.g., the cement industry) employ the green supply chain to overcome ecological ...
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Environmental pollution and the deterioration of natural resources are now considered significant challenges in human societies. In fact, environmental pollution is mainly caused by manufacturing industries. Most industries (e.g., the cement industry) employ the green supply chain to overcome ecological problems, a goal that requires various techniques for quantifying the environmental impacts on the supply chain to improve processes. This study aimed to evaluate the green supply chain performance at 11 cement manufacturing factories through the hybrid BSC–DEA approach within the 2018–2020 period. After the principal indices were identified and placed in each perspective of the balanced scorecard (BSC), the DEMATEL technique was adopted to determine the relationships of perspectives. The multistage data envelopment analysis (DEA) model was then employed to measure the efficiency of each BSC perspective and the total network efficiency. Finally, reference units were introduced to improve the inefficient units. According to the results, managers focus mainly on the financial section and customers but pay less attention to growth and learning. The organization yielded the best efficiency in 2020 by following an upward trend. The energy consumption rate, clinker–cement ratio, and CO2 emission rate were analyzed in this study to better investigate the environmental problems in the cement industry. Most of the units followed upward trends in both CO2 emission and energy consumption but experienced a downward trend in clinker production.
Sarvenaz Heydarpour; Seyyed Hosein Seyyed Esfahani; Behrooz Khorshidvand
Abstract
Regarding contractors are one of the fundamental features of construction and industrial projects, therefore the selection of contractors is one of the major decisions of managers and decision-makers. This paper uses the multi-criteria decision-making method Analytic Hierarchy Process (AHP) to incorporate ...
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Regarding contractors are one of the fundamental features of construction and industrial projects, therefore the selection of contractors is one of the major decisions of managers and decision-makers. This paper uses the multi-criteria decision-making method Analytic Hierarchy Process (AHP) to incorporate the weightings of input and output variables into Data Envelopment Analysis (DEA) for evaluation and ranking of contractors (Zarand Iranian Steel Company). At first, according to previous research, the most effective and important evaluation indicators of contractors are selected, then in the proposed model with the AHP approach, seven input indicators and three output indicators are weighted and ranked, and the performance of 20 contractors from one of the company's projects is determined and ranked with the input-oriented CCR model. By applying this approach, decision-makers and practitioners can effectively compare operational efficiency between contractors, and therefore generate more informed and they can provide appropriate solutions to increase the efficiency of other contractors.