برنامه‌ریزی تولید ـ توزیع چندهدفه فازی با درنظرگرفتن هزینه انتشار گاز CO2 و رویکرد حل نوین برنامه‌ریزی آرمانی چند‌گزینه‌ایی فازی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه الزهرا، تهران، ایران.

2 دانشجوی دکتری، گروه مهندسی صنایع، دانشکده فنی و مهندسی، دانشگاه الزهرا، تهران، ایران.

چکیده

در دنیای رقابتی امروز، شرکت‌ها باید زنجیره‌های تأمین خود را به‌طور مؤثر در شرایط متغیر بازار مدیریت کنند؛ همچنین شرکت‌ها ملزم به جبران آسیب‌های زیست‌محیطی خود شده‌اند. در این پژوهش، یک شبکه زنجیره تأمین دوسطحی، چند­محصولی و چند­دوره‌ای شامل مراکز تولید و توزیع با سه هدف حداقل‌سازی هزینه‌های لجستیکی، زمان تحویل و هزینه‌های انتشار گاز CO2 مدل‌سازی شده است. پارامترهای تقاضای مشتریان، سطح نیروی انسانی و ماشین‌آلات در­دسترس دارای عدم­قطعیت هستند و به‌صورت اعداد فازی در نظر گرفته شده‌اند؛ همچنین امکان بهره‌گیری از خدمات پیمانکاری برای عملیات تولید و حمل با هزینه بالاتر وجود دارد. نوآوری اصلی این پژوهش از منظر مدل‌سازی امکان بهره‌گیری از سیستم‌های حمل‌ونقل مختلف و همچنین توجه به آلایندگی ناشی از آن‌ها و از منظر حل، بهره‌گیری از روش نوین آرمانی چندگزینه‌ای فازی (ارائه‌شده در 2018) است؛ همچنین از داده‌های واقعی شرکت «دایا تکنولوژی» برای مطالعه موردی و ارزیابی عملکرد مدل استفاده شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Fuzzy Multi-objective Production Distribution Planning by Considering CO2 Emission Cost and Solving by a Novel Fuzzy Multi-choice Goal Programming

نویسندگان [English]

  • Mehdi Seifbarghy 1
  • Pardis Shirin Bayan 2
1 Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran.
2 Ph.D Students, Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran.
چکیده [English]

In today's competitive world, companies need to effectively manage their supply chains in changing market conditions, and they are also obliged to compensate for their environmental damages. In this research, a two-echelon multi-product multi-period supply chain network with production and distribution centers has been modeled with three objectives: minimizing logistic costs, delivery time, and CO2 emission costs. Customer demand parameters, available levels of human and machinery resources are uncertain and considered as fuzzy numbers. Additionally, the possibility of using subcontracting services for production and transportation operations at a higher cost exists. The main innovation of this research is modeling the possibility of using different transportation systems and considering their pollution, and using a novel fuzzy multi-criteria goal programming method (proposed in 2018) for solving the problem. Real data from "Daya Technology" company has also been used for case study and model evaluation.

کلیدواژه‌ها [English]

  • Supply Chain
  • Integrated Production-distribution Planning
  • Fuzzy Sets
  • CO2 Emission
  • Multi-choice Goal Programming

مراجع

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