ارائه رویکرد برنامه‌ریزی دوسطحی چندپیرو در حالت عدم همکاری برای موقعیت‌یابی از پیش‌انبارهای اضطراری بحران

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دکتری مهندسی صنایع، دانشکده مهندسی صنایع، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران

2 استاد گروه مهندسی برق و کامپیوتر، دانشکده فنی و مهندسی، دانشگاه خوارزمی، تهران، ایران

3 دانشیار گروه مهندسی صنایع، دانشکده مهندسی صنایع، پردیس دانشکده‌های فنی، دانشگاه تهران، تهران، ایران

چکیده

ساختار غیر متمرکز تصمیم‌گیری در طراحی شبکه انبارهای اضطراری بحران، استفاده از مدل‌های بهینه‌سازی کلاسیک را با چالش مواجه می‌کند. هدف این مقاله توسعه یک مدل جدید بهینه‌سازی دوسطحی چندپیرو برای مسأله مکان‌یابی و تخصیص انبارهای اضطراری در سطوح ملی و منطقه‌ای بوده است. مسأله به‌صورت عدم همکاری پیروها مدل‌سازی شده است. این نوع مدل‌سازی برای کشورهایی که طراحی شبکه انبارهای اضطراری بحران آن‌ها به‌صورت غیرمتمرکز است مناسب می‌باشد. پارامترهای مدل‌ها براساس داده‌های واقعی کشور ایران تنظیم شده است. با توجه به پیچیدگی‌های بالای حل، یک رویکرد تکاملی هم‌زمان برمبنای روش‌های تخصیص ابتکاری و الگوریتم ژنتیک جهت حل مسأله در سایزهای مختلف توسعه داده شده است. ساختار حل به‌گونه‌ای انعطاف‌پذیر طراحی شده و براساس تعداد پیروها و میزان قدرت آن‌ها قابلیت تنظیم را دارا می‌باشد. در نهایت، تحلیلی در خصوص تغییر تعداد تصمیم‌گیرندگان و قدرت آن‌ها درجذب تسهیلات و تأثیر بر توابع هدف مدل دوسطحی صورت گرفته است.

کلیدواژه‌ها

عنوان مقاله [English]

A multi-follower Bi-level Programming Approach in Uncooperative with Emergency Warehouses Pre-positioning

نویسندگان [English]

  • Ehsan Saghehei 1
  • Azizollah Memariani 2
  • Ali Bozorgi 3
1 Ph.D. in Industrial Engineering, Faculty of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2 Professor, Department of Electrical and Computer Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
3 Associate Professor, Department of Industrial Engineering, Faculty of Industrial Engineering, Campus of Technical Colleges, University of Tehran, Tehran, Iran
چکیده [English]

The decentralized decision-making structure in the design of crisis emergency warehouse network challenges the use of classical optimization models. The aim of this paper is to develop a new multi-follower bi-level optimization model for the emergency warehouse location-allocation problem in terms of national and regional levels. This type of modeling is suitable for countries whose crisis warehouse network design is decentralized. The parameters of the models are based on real data in Iran. Due to the high complexity of the solution, a co-evolutionary approach based on innovative allocation methods and genetic algorithms has been developed to solve the problems with different sizes. The solution structure is designed to be flexible and can be adjusted based on the number of followers and their authority. Finally, an analysis has been done about the change in the number of decision makers and their power to absorb facilities on the objective functions of the bi-level model.

کلیدواژه‌ها [English]

  • Pre-positioning relief item
  • Disaster management
  • Multi follower Bi-level programming
  • Co-Evolutionary algorithm
  • Emergency warehouse location-allocation problem

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نشریه پژوهش های مهندسی صنایع در سیستم های تولید
دوره 9، شماره 18
شهریور 1400
صفحه 81-95

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