انتخاب تأمین کنندگان سبز با روش نوین تصمیم‌گیری گروهی پرومته-ابری؛ مورد مطالعه: یک شرکت تولید کننده فرآورده‌های نفتی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد، گروه مهندسی لجستیک و زنجیره تأمین، دانشکده مهندسی صنایع، دانشگاه علم و صنعت، تهران، ایران

2 دانشیار، گروه مهندسی لجستیک و زنجیره تأمین، دانشکده مهندسی صنایع، دانشگاه علم و صنعت، تهران، ایران

چکیده
گسترش آلودگی‌های زیست‌محیطی ناشی از کارخانجات تولیدی محصولات و فرآورده‌های نفتی، منجر به افزایش روز افزون توجه دولت‌ها به موضوع مدیریت زنجیره‌تأمین سبز در این دسته از صنایع شده‌است. در همین راستا در این تحقیق به ترسیم یک ساختار تصمیم‌گیری گروهی، جهت انتخاب تأمین‌کنندگان سبز در یکی از بزرگترین پالایشگاه‌های تولیدکننده فرآورده‌های نفتی در ایران پرداخته شده‌است. بدین منظور ابتدا پس از انجام مطالعاتی دقیق روی پرکاربردترین معیارهای تصمیم‌گیری، 8 معیار قیمت، کیفیت، حمل و نقل، مصرف انرژی، سیستم مدیریت محیط زیست، تولید سبز، کنترل انتشار گاز کربن و مدیریت پسماند به عنوان معیارهای نهایی تصمیم‌گیری انتخاب شدند. سپس، پس از بررسی انواع مختلف روش های تصمیم گیری با در نظر گرفتن شکاف تحقیقاتی موجود ، روش نوینی پیشنهاد شد که مدل ابری مبتنی بر متغیرهای زبانی نامعین را با روش پرومته ادغام می‌کند. روش ابداعی پرومته-ابری در حل مسئله برون‌سپاری تولید محصول پارافین در این پالایشگاه مورد بررسی قرار گرفت و نتایح قابل توجه و مفیدی ارائه نمود. نتایج نهایی با موفقیت بصورت گراف ترجیحات ارائه گردید که دید بسیار مناسبی جهت ارزیابی تأمین‌کنندگان به مدیران شرکت ارائه می‌دهد. مدل پیشنهادی توانسته است مزیت‌های روش پرومته از جمله امکان ترکیب داده‌های کمی و کیفی، انتخاب توابع رجحان، وزن‌دهی مستقل و عدم نیاز به نرمالسازی معیارها را با برطرف‌کردن ابهامات تصمیم گیری بوسیله مدل ابری ترکیب کند.

کلیدواژه‌ها


عنوان مقاله English

Green Supplier Selection with a new PROMETHHEE-Cloud Group Decision Making Method; Case Study: A Manufacturer of Oil Products

نویسندگان English

Ali Goudarzi 1
Mohammad Reza Gholamian 2
1 Master's student, Department of Logistics and Supply Chain Engineering, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran
2 Associate Professor, Department of Logistics and Supply Chain Engineering, Faculty of Industrial Engineering, University of Science and Technology, Tehran, Iran
چکیده English

The spread of environmental pollution caused by factories producing petroleum products has led to the increasing attention of governments to the issue of green supply chain management in this category of industries. In this regard, the main goal of this research is to draw a group decision-making structure that addresses the issue of green supplier selection (GSS) in one of the largest refineries producing petroleum products in Iran. For this purpose, first after conducting detailed studies on the most used decision-making criteria, 8 criteria were selected for final decision-making including price, quality, transportation, energy consumption, environmental management system, green production, carbon emission and waste management. Then, after examining the various types of decision-making methods considering the existing research gap, a new method has been proposed that integrates the CLOUD model based on uncertain linguistic variable with the PROMETHEE method. The innovative CLOUD-PROMETHEE method was investigated in solving the problem of outsourcing paraffin production in this refinery factory and provided significant and useful results. The final results were successfully presented in the form of a preference graph, which provides a very suitable view for evaluating suppliers to company managers. The proposed model has been able to consider the advantages of PROMETHEE method including the possibility of combining quantitative and qualitative data, choosing preference functions, independent weighting and without normalization by solving decision-making uncertainties using the cloud model.

کلیدواژه‌ها English

Green Supplier Selection
Group Decision Making
Cloud Model
PROMETHEE
Uncertain Linguistic Variable
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