طراحی مدل ارزیابی پایداری اکولوژیک زنجیره تامین لارج صنعت نفت با نقشه شناخت فازی
محورهای موضوعی : مدیریت
شبنم اینانلو
1
,
محمود مدیری
2
,
کیامرث فتحی هفشجانی
3
,
محمدعلی افشارکاظمی
4
1 - گروه مدیریت صنعتی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
2 - گروه مدیریت صنعتی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
3 - گروه مدیریت صنعتی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
4 - گروه مدیریت صنعتی، واحد تهران مرکز، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: زنجیره تأمین پایدار, پارادایم لارج, صنعت نفت, نقشه شناخت فازی.,
چکیده مقاله :
مدیریت زنجیره تأمین صنعت نفت با چالش‌های زیست محیطی برای دستیابی به اهداف توسعه پایدار مواجه است. بدین منظور تحقیق حاضر با هدف استفاده از پارادایم لارج برای کمک به مدیریت زنجیره تأمین پایدار در صنعت نفت انجام شد. برای دستیابی به این هدف تحقیق حاضر در دو فاز کیفی و کمی صورت گرفت. در بخش کیفی با استراتژی داده بنیاد اقدام به شناسایی و استخراج شاخص‌های مدل شد. در بخش کمی، مدل علی معلولی با رویکرد نقشه شناخت فازی طراحی شد. جامعه آماری تحقیق خبرگان شامل مدیران ارشد صنعت نفت بودند که به صورت نمونه گیری غیر احتمالی و هدفمند به تعداد 14 نفر انتخاب شدند. یافته‌ها نشان داد که همه شاخص‌های مدل با یکدیگر ارتباط دارند به گونه‌ای که سه شاخص افزایش سودآوری، طراحی لجستیک معکوس و کاهش زمان تأخیر به ترتیب بیشترین ارتباط را با شاخص‌های دیگر دارد که نشان از اهمیت این عوامل می‌باشد. انتظار می‌رود که با طراحی لجستیک معکوس مناسب و برنامه‌ریزی‌ها جهت کاهش زمان تأخیر بتوان به افزایش سودآوری و بهبود عملکرد مدیریت زنجیره تأمین پایدار کمک کرد.
Oil industry supply chain management faces environmental challenges to achieve sustainable development goals. For this purpose, the present study was conducted with the aim of using the large paradigm to help manage a sustainable supply chain in the oil industry. To achieve this goal, the present study was conducted in two qualitative and quantitative phases. In the qualitative part, the model indicators were identified and extracted using a data-driven strategy. In the quantitative part, a causal model was designed using a fuzzy cognitive map approach. The statistical population of the expert research included senior managers in the oil industry, who were selected through non-probability and purposeful sampling, numbering 14 people. The findings showed that all the model indicators are related to each other, such that the three indicators of increasing profitability, reverse logistics design, and reducing delay time have the greatest relationship with other indicators, respectively, which indicates the importance of these factors. It is expected that by designing appropriate reverse logistics and planning to reduce delay time, it is possible to increase profitability and improve the performance of sustainable supply chain management.
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