مدلسازی رویکرد برگزاری مناقصه و کاربرد آن برای خرید اقلام امدادی

نوع مقاله: مقاله پژوهشی

نویسندگان

1 کارشناس ارشد مهندسی صنایع، دانشکده مهندسی صنایع، دانشگاه صنعتی ارومیه، ارومیه، ایران.

2 استادیار، گروه مهندسی صنایع، دانشکده مهندسی صنایع، دانشگاه صنعتی ارومیه، ارومیه، ایران.

3 3- استادیار، گروه مهندسی صنایع، دانشکده مهندسی صنایع، دانشگاه تهران، تهران، ایران.

چکیده

انتخاب تأمین‌کننده و تخصیص سفارش در فرایند خرید اقلام امدادی در شرایط بحران امری مهم و ضروری است. در این مقاله، رویکرد ترکیبی تصمیم‌گیری چند معیاره و مدل برنامه‌ریزی ریاضی برای انتخاب تأمین‌کنندگان و تخصیص سفارش در چارچوب مناقصه معکوس چند شاخصه ارائه شده است. رویکرد پیشنهادی با تمرکز بر فاز ارزیابی مناقصه در دو مرحله مدلسازی شده است. در مرحله اول، هر یک از شرکت‌کنندگان مناقصه به عنوان تأمین‌کنندگان اقلام امدادی با توجه به معیارهای کمّی و کیفی تأثیرگذار، با استفاده از روش پرومتی فازی رتبه‌بندی می‌شوند. سپس در مرحله دوم، تأمین‌کنندگان مناسب براساس اولویت‌های مرحله قبل، در قالب یک مدل ریاضی سه هدفه فازی انتخاب شده و حجم بهینه سفارش‌دهی مشخص می‌شود. ریسک اختلال در مراکز تأمین و توزیع و همچنین عدم قطعیت از جمله ویژگی‌های اصلی مدل ریاضی ارائه شده است. در این مقاله، برای نخستین بار از رویکرد برنامه‌ریزی امکانی استوار چند هدفه جهت مواجهه با عدم قطعیت پارامتر‌های غیرقطعی مسأله خرید اقلام امدادی در زنجیره امداد استفاده شده است. رویکرد حل مدل چند هدفه، روش محدودیت اپسیلون تقویت شده در نظر گرفته شده است. در پایان، نتایج محاسباتی نشان از عملکرد بهتر و کارایی مدل برنامه‌ریزی امکانی استوار چندهدفه برای مسأله خرید اقلام امدادی دارد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Modeling the bidding approach and its application for the procurement of relief items

نویسندگان [English]

  • Maziar Khoshsirat 1
  • Rahim dabbagh 2
  • Ali Bozorgi-Amiri 3
1 School of Industrial Engineering, Urmia University of Technology, Urmia, Iran.
2 Ass. of Faculty of Industrial Engineering, Uremia University of technology faculty member- Uremia- IRAN
3 3- Assistant prof., School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
چکیده [English]

Supplier selection and order allocation in the process of purchasing relief items during critical conditions are important issues. In this paper, the mixed approach of Multi-criteria decision making and mathematical programming model have been represented in order to select suppliers and allocate orders in the framework of Multi-attribute reverse auction. The suggested approach has been modeled focusing on bid evaluation phase in
 Two stage. In the first stage, each participator in the bid is ranked using the Fuzzy-PROMETHEE method as the supplier of assistance items regarding effective quantitative and qualitative criteria. In the second stage, suitable suppliers are selected based on priorities of the first stage, in the frame of a multi-objective fuzzy mathematical model in order to determine the optimal size of ordering. Disruption risk in both distribution centers and suppliers, as well as the uncertainty including major features of the mathematical model have been represented. In this paper, multi-objective robust possibility programming (MORPP) approach has been used in order to eliminate the uncertainty of parameters related to purchasing assistance items within the humanitarian relief supply chains. To solve the multi-objective model the augmented e-constraint method has been considered. Finally, calculation results are indicative of better performance and efficiency of the MORPP approach to solve purchasing assistance items problem.

کلیدواژه‌ها [English]

  • relief items procurement
  • Multi-attribute reverse auction
  • Fuzzy-PROMETHEE
  • multi-objective robust possibilistic programming (MORPP)
  • augmented -constraint method
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