supply chain management
Mohammad Rasoul Eslamian Koupaei; Hadi Shirouyehzad
Abstract
Purpose: Today, supply chain management has become one of the main tools to control costs and improve the economic performance of the organization. In this study, we present a method to evaluate the key success factors of sustainable supply chain management using interpretive structural modeling.Methodology: ...
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Purpose: Today, supply chain management has become one of the main tools to control costs and improve the economic performance of the organization. In this study, we present a method to evaluate the key success factors of sustainable supply chain management using interpretive structural modeling.Methodology: The current research has been implemented in Golnor company in Isfahan. For this purpose, first by examining the research background, the main success factors of sustainable supply chain management are extracted. The final list of key success factors for sustainable supply chain management in Glenor company has been assessed in the form of a questionnaire. Then, by distributing two questionnaires among the experts to perform structural-interpretive modeling, the effective and influential factors in each of the extracted lists are identified and after analyzing and categorizing the information extracted from the questionnaires distributed in Golnor company, the situation the organization has determined by a pre-designed regional classification model that the score obtained for the sustainable supply chain is 3.0637.Findings: Then the results of the questionnaire related to identifying the key factors of sustainable supply chain, which includes 17 key success factors identified for sustainable supply chain is the influential factors identified based on the result of structural-interpretive modeling and the score obtained from the organizational questionnaire, and as a result, the availability of information is one of the main success factors of supply chain management as critical factors with the highest priority for improving sustainable supply chain management systems, that the organization can with capital putting these factors at a lower cost will further improve your management systems.Originality/Value: The method used to analyze the main success factors of interpretive structural modeling and to categorize the factors of the analytical technique was MICMAC.
supply chain management
Seyyed Fatemeh Faghidian; Masood Khodaverdi Samani
Abstract
Purpose: The industrialization of societies and growing demand for goods have brought many social and environmental disasters. That the approach to new energies and sustainable and green supply chains has faced the luck of researchers and industrial managers. The purpose of this research is to extract, ...
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Purpose: The industrialization of societies and growing demand for goods have brought many social and environmental disasters. That the approach to new energies and sustainable and green supply chains has faced the luck of researchers and industrial managers. The purpose of this research is to extract, model, and rank the factors affecting the sustainable supply chain and other new energies in Chahar Mahal and Bakhtiari province.Methodology: Using the Delphi technique, we screen the criteria extracted from the literature. So, by using structural equations, we examine the relationships between variables and the assessment and validation of the model, and finally, using the Analysis Hierarchy Technique (AHP), the research factors are ranked.Findings: The factors affecting the green supply chain were under two criteria and eight sub-criteria, and environmental education was given the first priority. The factors affecting the sustainable supply chain were identified and designed with five key criteria and eleven sub-criteria, among these, internal organizational factors have been given the most importance.Originality/Value: Finally, the use of environmental technologies, and the correct management of the green and sustainable supply chains in order to use new energies, together with the training of employees, leads to a reduction of crimes and the use of resources, and consequently, a reduction of energy consumption and environmental pollution.
