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A Mathematical Model to Make Decision in a Combinatorial Reverse Auction Considering Lack of Supply Risk

Farnia, Farbod | 2019

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51706 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Najafi, Mehdi
  7. Abstract:
  8. Considering the increased variety of products or services demanded by customers, the lifetime of the products or services demanded has been shortened. So, organizations should provide the products or services they need in the shortest possible time. That is why to survive in the competitive environment created, many organizations provide the products or services they need from outside the organization to meet their customers' demand in the shortest time. One of the ways by which various products or services can be provided is to hold combinatorial reverse auctions. Following a comprehensive review of the literature related to the combinatorial reverse auctions, this study has presented a model for the combinatorial reverse auctions considering the risk of the lack of supply by the suppliers to investigate the effect of paying attention to the risk on the selection of the suppliers. For this purpose, a mathematical model with three objective functions of the supplier score, cost and risk has been considered so that the values of the suppliers risk have been uncertain and they have been considered as an interval. To reduce the effect of the uncertain data, the robust optimization approach has been used based on the method presented by Bertsimas and Sim. The Ɛ-constraint method has then be used to solve the proposed model. The results from solving the robust optimization model indicate the effect of the budget intended to provide the products or services needed on the rate of the supply risk of the suppliers
  9. Keywords:
  10. Combinatorial Reverse Auction ; Supply Chain Risk ; Multicriteria Decision Making ; Supplier Selection ; Robust Optimization

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