طراحی مدل آرمانی- فازی برای بهینه‌سازی هزینه‌ و مسافت وسایل نقلیه در زنجیره تامین چهار سطحی حلقه بسته با استفاده از الگوریتم مورچگان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری، گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران.

2 استادیار، گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران

3 دانشیار، گروه مدیریت صنعتی، واحد قزوین، دانشگاه آزاد اسلامی، قزوین، ایران

چکیده

در دنیای پر رقابت کنونی، زنجیره تامین حلقه بسته در راستای بازیافت محصولات به یک چالش اساسی تبدیل شده است. سیستم بازیافت به دلیل پوشش قوانین و کاهش آلودگی‌ زیست‌محیطی، افزایش توان اقتصادی با ایجاد مشاغل جدید و توانایی بازیابی ارزش محصولات برگشتی، از جایگاه ویژه‌ای در زنجیره تامین برخوردار است. هدف این پژوهش، طراحی مدل آرمانی- فازی برای بهینه‌سازی هزینه‌ و مسافت وسایل نقلیه در زنجیره تامین چهار سطحی حلقه بسته است. در این پژوهش، نخست عوامل موثر در لجستیک معکوس شناسایی و برای طراحی مدل پژوهش چندهدفه به دلیل وجود اهداف مختلف، مدل ریاضی آرمانی- فازی با هدف کمینه‌‌سازی هزینه و مسافت ارائه گردید. مدل لجستیک حلقه بسته به دلیل قرارگیری در گروه مسائل NP-Hard، با روش‌های گرادیان مبنا به‌راحتی قابل‌ حل نبوده، از این‌رو جهت بهینه‌سازی از الگوریتم مورچگان استفاده ‌شده است. درنهایت پس از اجرای مدل پژوهش، هدف به حداقل رساندن هزینه، مقدار عضویت بالاتری نسبت به هدف مسافت داشته و مدیران نیز باید توجه ویژه‌ای به این هدف داشته باشند.

کلیدواژه‌ها


عنوان مقاله [English]

Design a Fuzzy Goal Programming Model for Optimizing the Cost and Distance of Vehicles in the Four-Echelon Closed-Loop Supply Chain by Using Ant Colony Algorithm

نویسندگان [English]

  • Sajjad Jalalifar 1
  • Reza Ehtesham Rasi 2
  • Ali Mohtashami 3
1 ph.D stdent in industrial managemnt
2 Assistant Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
3 Associate Professor, Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
چکیده [English]

In today's highly competitive world, closed-loop supply chains (CLSC) have become a major challenge for product recycling. The recycling system has a special place in the supply chain due to the coverage of laws and the reduction of environmental pollution, increasing economic power by creating new jobs and the ability to recover the value of returned products. The purpose of this study is to design fuzzy- goal model for optimizing the cost and distance of vehicles in the four echelon closed-loop supply chain. The closed-loop logistics model could not be easily solved with the base gradient methods due to its NP-Hard problem group, so the ant algorithm was used for optimization. Finally, after implementing the fuzzy goal model of the research, it was found that the goal of minimizing the cost in the model has a higher membership amount than the distance goal, and managers should pay special attention to this goal.

کلیدواژه‌ها [English]

  • Closed-Loop Supply Chain
  • Fuzzy Goal Programming
  • Optimization
  • Ant Colony Algorithm
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