نوع مقاله : مقاله استخراج شده از طرح پژوهشی
نویسندگان
1 دانشجوی دکتری، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد ،واحد علوم و تحقیقات ، دانشگاه آزاد اسلامی، تهران ، ایران.
2 استاد، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد ، واحد تبریز ، دانشگاه آزاد اسلامی، تبریز ، ایران.
3 استادیار، گروه مدیریت صنعتی، دانشکده مدیریت، واحد تهران جنوب ، دانشگاه آزاد اسلامی، تهران ، ایران .
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
Assessing the supply chain performance of companies active in the oil and gas industry, has diverse positive functions in areas of performance improvement, optimal resource management, identifying strategies to address challenges and weaknesses in the current supply chain and sustainable development of these companies. Due to the lack of adequate research and existing knowledge gaps on this subject, this study is aimed at presenting a model for evaluating the LARG supply chain performance in the oil and gas industry. By reviewing the literature and using semi-structured interviews with 15 executives and university experts who were selected by the snowball sampling approach, we collected the initial data on indicators. We also, distributed a Delphi Fuzzy questionnaire, to gather data on the LARG supply chain management practices and actions. In this study, we utilized the fuzzy hierarchical analysis process in order to identify the weight of each of the practices and prioritize them accordingly. We simulated the model of the LARG supply chain and its performance evaluation measures to find the effect of LARG supply chain management practices in oil and gas industry. Using the system dynamics approach, the effect of the LARG supply chain management on the performance of oil and gas industry was tested. The results show that the practices of risk management culture, advanced resource planning, ISO 14001 certification and the long-term market vision are convergent in the oil and gas LARG supply chain and strengthen the performance of the chain. The LARG supply chain, the supply chain redesign and adopting measures in accordance with the proposed model, significantly improve supply chain performance.
کلیدواژه‌ها [English]
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