نوع مقاله: مقاله پژوهشی

نویسندگان

1 استادیار، گروه مهندسی صنایع، دانشکده مهندسی صنایع، دانشگاه صنعتی ارومیه

2 دانشجوی کارشناسی ارشد مهندسی صنایع، دانشکده مهندسی صنایع، دانشگاه صنعتی ارومیه، ارومیه، ایران.

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

چکیده

تأمین اقلام امدادی مورد نیاز در شرایط پس از بحران به دلیل عدم قطعیت تقاضا و شدت وقوع فاجعه، مسأله‌ای زمان-بر و پیچیده است. در این مقاله، با هدف تسهیل عملیات خرید و هماهنگی میان تأمین‌کنندگان و سازمان‌های امدادی، مدلی مبتنی بر مناقصه ارائه شده است. ساختار مناقصه پیشنهادی شامل دو فاز ساخت و ارزیابی است که بترتیب توسط تأمین‌کنندگان (فروشندگان) و سازمان امدادی (خریدار) مورد بررسی قرار گرفته است. در فاز ساخت مناقصه، یک مدل برنامه‌ریزی ریاضی غیرخطی فازی چند هدفه ارائه شده که ریسک اختلال در مراکز تأمین و توزیع و همچنین عدم قطعیت در پارامترها را در نظر می‌گیرد. مدل پیشنهادی با استفاده از روش محدودیت اپسیلون تقویت شده حل و بسته‌های پیشنهادی بهینه تأمین‌کنندگان شامل حجم، قیمت و زمان تحویل اقلام امدادی تعیین شده است. در فاز ارزیابی مناقصه، برای رتبه‌بندی تأمین‌کنندگان از روش پرومتی فازی استفاده شده است. در این مرحله از مناقصه، هر یک از تأمین‌کنندگان با توجه به بسته‌های پیشنهادی و سایر معیارهای کیفی، توسط خریدار ارزیابی شده و برنده مناقصه مشخص می‌شود. در نهایت، به جهت اعتبارسنجی مدل و کاربرد‌پذیری آن مثال عددی ارائه و از جنبه‌های مختلف تحلیل شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Presenting the Relief Items Procurement Model under Multi-attribute Reverse Auction Using a Fuzzy Multi-objective Programming Approach

نویسندگان [English]

  • Rahim dabbagh 1
  • Maziar Khoshsirat 2
  • ali Bozorgi Amiri 3

1 Ass. of Faculty of Industrial Engineering, Uremia University of technology faculty member- Uremia- IRAN

2 M.Sc. graduated, School of Industrial Engineering, Urmia University of Technology, Urmia, Iran.

3 Assisstant prof., School of Industrial Engineering,College of Engieering, University of Tehran, Tehran, Iran.

چکیده [English]

Providing required relief items in the condition of post-disaster is a time-consuming and complex problem because of demands uncertainty and the severity of the disaster. This paper presents a model based on auction with the aim to facilitate purchase activities and to make coordination between suppliers and relief organizations. The structure of the proposed auction includes construction and evaluation phases which are managed by the suppliers (sellers) and relief organizations (customer) respectively. In the bid construction phase, a fuzzy multi-objective non-linear mathematical programming model is presented that addresses disruption risk in both distribution centers and suppliers and uncertainty among parameters. The proposed model is solved using augmented ε-constraint method, and optimal packages of the suppliers including price, delivery time and quantity of relief items is determined. In the bid evaluation phase, in order to rank the suppliers fuzzy promethee technique was used.  In this stage of the bid, each supplier will be assessed by customers regarding proposed packages and other qualitative criteria and the winner of the bid will be determined. To illustrate the validity and applicability of the proposed model, a numerical example is provided, and it has been analyzed from various aspects

کلیدواژه‌ها [English]

  • Humanitarian Relief Supply Chains / Relief Items Procurement / Multi-Attribute Reverse Auction / Augmented E-constraint Method / Fuzzy-PROMETHEE

Bagchi, A.; Paul, J. A. and Maloni, M. (2011); “Improving Bid Efficiency for Humanitarian Food Aid Procurement”, International Journal of Production Economics, Vol. 134, No. 1, pp. 238-245.

Balcik, B.; Beamon, B.M.; Krejci, C.C.;  Muramatsu, K.M. and M. Ramirez (2010);  “Coordination in Humanitarian Relief Chains: Practices, Challenges and Opportunities”, International Journal of Production Economics, Vol. 126, No. 1, pp. 22-34.

Bichler, M. (2000); “Experimental Analysis of Multi-attribute Auctions”, Decision Support Systems, Vol. 29, No. 3, pp. 249–268.

Boran, F.E.; Genç, S.; Kurt, M. and D. Akay (2009); “A Multi-criteria Intuitionistic Fuzzy Group Decision Making for Supplier Selection with TOPSIS Method”, Expert Systems with Applications, Vol. 36, No. 8, pp. 11363-11368.

Chang, B.; Chang, C.W. and C.H. Wu (2011); “Fuzzy DEMATEL Method for Developing Supplier Selection Criteria”, Expert Systems with Applications, Vol. 38, No. 3, pp. 1850-1858.

Chen, C.T.; Lin, C.T. and S.F. Huang (2006); “A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management”, International Journal of Production Economics, Vol. 102, No. 2, pp. 289-301.

Chen, A.; Hsieh, C.Y. and H.M. Wee (2016); “A Resilient Global Supplier Selection Strategy—A Case Study of an Automotive Company”, The International Journal of Advanced Manufacturing Technology, Vol. 87, No. (5-8), pp. 1475-1490.

Chen-Ritzo, C.; Harrison, T. P.; Kwasnica, A.M. and D.J. Thomas  (2005); “Better, Faster, Cheaper: An Experimental Analysis of Multi-attribute Reverse Auction Mechanism with Restricted Information Feedback”, Management Science, Vol. 51, No. 12, pp. 1753–1762.

 Cheng, C.B. (2008); “Solving a Sealed-bid Reverse Auction Problem by Multiple-Criterion Decision-Making Methods”, Computers and Mathematics with Applications, Vol. 56, No. 12, pp. 3261-3274.

 David, E.; Azoulay-Schwartz, R. and Kraus, S.  (2006); “Bidding in Sealed-bid and English Multi-attribute Auctions”, Decision Support Systems, Vol. 42, No. 2, pp. 527–556.

Dhanalakshmi, S.; Kannan, S.; Mahadevan, K. and S. Baskar  (2011); “Application of Modified NSGA-II algorithm to Combined Economic and Emission Dispatch Problem”, International Journal of Electrical Power & Energy Systems, Vol. 33, No. 4, pp. 992-1002.

 Elevli, B. (2014); “Logistics Freight Center Locations Decision by Using Fuzzy-PROMETHEE”, Transport, Vol. 29, No. 4, pp. 412-418.

 Ertem, M.A.; Buyurgan, N. and M.D. Rossetti (2010); “Multiple-buyer Procurement Auctions Framework for Humanitarian Supply Chain Management”, International Journal of Physical Distribution & Logistics Management, Vol. 40, No. 3, pp. 202-227.

Ertem, M.A. and N. Buyurgan (2011); “An Auction-based Framework for Resource Allocation in Disaster Relief”, Journal of Humanitarian Logistics and Supply Chain Management, Vol. 1, No. 2, pp. 170-188.

Ertem, M.A., Buyurgan, N. and E. A. Pohl (2012); “Using Announcement Options in the Bid Construction Phase for Disaster Relief Procurement”, Socio-Economic Planning Sciences, Vol. 46, No. 4, pp. 306-314.

 Ertem, M.A. and N. Buyurgan (2013); “A Procurement Auctions-based Framework for Coordinating Platforms in Humanitarian Logistics”, In Humanitarian and Relief Logistics, Springer New York, pp. 111-127.

Falasca, M. and C.W. Zobel (2011); “A Two-stage Procurement Model for Humanitarian Relief Supply Chains”, Journal of Humanitarian Logistics and Supply Chain Management, Vol. 1, No. 2, pp. 151-169.

Glover, F. (1975); “Improved Linear Integer Programming Formulations of Nonlinear Integer Problems”, Management Science, Vol. 22, No. 4, pp. 455-460.

Huang, M.; Qian, X.; Fang, S. C. and X. Wang (2016); “Winner Determination for Risk Aversion Buyers in Multi-attribute Reverse Auction”, Omega, 59, pp. 184-200.

 Jiménez, M.; Arenas, M.; Bilbao, A. and M.V. Rodrı (2007); “Linear Programming with Fuzzy Parameters: An Interactive Method Resolution”, European Journal of Operational Research, Vol.177, No. 3, 1599-1609.

Mavrotas, G. (2009); “Effective Implementation of the Ε-constraint Method in Multi-objective Mathematical Programming Problems”, Applied Mathematics and Computation, Vol. 213, No. 2, pp. 455-465.

Mukherjee, K. (2016); “Supplier Selection Criteria and Methods: Past, Present and Future”, International Journal Of Operational Research, Vol. 27, No. (1-2), pp. 356-373.

 Petric, A. and G.  Jezic (2010); “Multi-attribute Auction Model for Agent-based Content Trading in Telecom Markets”, Knowledge-Based and Intelligent Information and Engineering Systems, pp. 261-270.

Qian, X.; Huang, M.; Gao, T. and X. Wang (2014); “An Improved ant Colony Algorithm for Winner Determination in Multi-attribute Combinatorial Reverse Auction”, In Evolutionary Computation (CEC), 2014 IEEE Congress on. IEEE. pp. 1917-1921.

Schulz, S. F. (2009); “Disaster Relief Logistics: Benefits of and Impediments to Cooperation between Humanitarian Organizations”, Haupt Verlag AG, vol. 15.

 Shokr, I. and S. A. Torabi (2017); “An Enhanced Reverse Auction Framework for Relief Procurement Management”, International Journal of Disaster Risk Reduction.

Trestrail, J.; Paul, J. and M. Maloni (2009); “Improving Bid Pricing for Humanitarian Logistics”, International Journal of Physical Distribution & Logistics Management, Vol. 39, No. 5, pp. 428-441.

Vidal, C. J. and M. Goetschalckx (2001); “A Global Supply Chain Model with Transfer Pricing and Transportation Cost Allocation”, European Journal of Operational Research, Vol. 129, No. 1, pp. 134-158.

 Zhang, W. and Reimann, M. (2014); “A Simple Augmented E-constraint Method for Multi-objective Mathematical Integer Programming Problems”, European Journal of Operational Research, Vol. 234, No. 1, pp. 15-24.