ارائه یک مدل بهینه‌سازی استوار دوهدفه برای طراحی شبکه تأمین خون اضطراری تحت عدم‌قطعیت

نوع مقاله: مقاله پژوهشی

نویسندگان

1 کارشناسی ارشد، گروه مهندسی صنایع، پردیس دانشکده‌های فنی دانشگاه تهران، تهران، ایران

2 استادیار، دانشکده مهندسی صنایع، پردیس دانشکده‌های فنی، دانشگاه تهران، تهران، ایران

3 کارشناسی ارشد، دانشکده مهندسی صنایع، پردیس دانشکده‌های فنی، دانشگاه تهران، تهران، ایران

چکیده

وقوع بحران‌‌های طبیعی و غیرطبیعی از امور اجتناب‌ناپذیری است که سالیانه تلفات جانی و مالی هنگفتی را در زندگی بشر به دنبال دارد. در زمان بحران، تقاضا برای اقلام ضروری از قبیل دارو و اقلام بهداشتی افزایش قابل‌ توجهی داشته و پاسخ به این تقاضا به‌ منظور حفظ سلامتی افراد از اهمیت بالایی برخوردار است. بر این اساس، یک مدل دوهدفه مکان‌یابی-تخصیص برای عرضه خون تحت عدم‌‌قطعیت در این مقاله ارائه شده است. اهداف مدل دربرگیرنده کمینه‌کردن میزان کمبود خون در مراکز خون و نیز کمینه‌کردن مجموع هزینه‌های عملیاتی شامل هزینه‌های جا‌به‌جایی تسهیلات موقت و هزینه جمع‌آوری و انتقال خون در دوره‌های زمانی پس از وقوع بحران است. با توجه به عدم وجود اطلاعات کافی در مورد ویژگی‌‌های بحران و به ‌منظور برنامه‌ریزی دقیق‌تر، میزان تقاضا، حجم خون اهدایی، هزینه‌‌های ارسال خون و جابه‌‌جایی تسهیلات به‌ صورت مولفه‌های غیرقطعی در نظر گرفته شده‌اند. برای مدل‌سازی عدم‌قطعیت، از روش بهینه‌‌سازی استوار مبتنی بر مجموعه عدم‌قطعیت جعبه‌‌ای بهره گرفته شده است و برای حل مدل دوهدفه از روش جامع وزنی چبیشف استفاده شده است. درنهایت با اجرای مثال عددی، همتای استوار مدل پیشنهادی با مدل قطعی مقایسه شده و نتایج حاصل از تحلیل حساسیت‌های مختلف ارائه شده است.

کلیدواژه‌ها


عنوان مقاله [English]

A Bi-Objective Robust Optimization Model for Emergency Blood Supply Network Design under Uncertainty

نویسندگان [English]

  • Soheil Mansoori 1
  • Ali Bozorgi-Amiri 2
  • Fatemeh Bayatloo 3
1 Master of Science, School of Industrial engineering, College of Engineering, University of Tehran, Tehran, Iran
2 Assistant Professor, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
3 Master of Science, School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
چکیده [English]

Natural and anthropogenic disasters annually give rise to huge financial and human losses. Disasters make a large amount of demand for relief items (e.g. medicine and hygiene products) in the affected area. There is a great deal of importance in appropriate response to demand of these items, as they have a vital role in preserving injured people's life. This paper presents a bi-objective location-allocation model for blood supply under uncertainty. The objectives are minimizing the blood shortage in blood centers and also minimizing the operational costs including cost of transporting temporary blood facilities and the cost of blood collection and transportation in a multi-period context. Due to the lack of information about the real values of some input parameters such as demand, amount of donated blood and also unit operational cost in disaster, these are considered as uncertain parameters in order to make more precise decisions. Robust optimization approach based on box uncertainty set is used to tackle the model uncertainty. Moreover, Lexicographic weighted Tchebycheff method is used to obtain the pareto-optimal solutions. Finally, a numerical example is presented to compare the performance of the robust model and its deterministic counterpart.

کلیدواژه‌ها [English]

  • Blood Supply Network
  • Location-Allocation
  • Robust Optimization
  • Multi-Objective

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