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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 47263 (01)
- University: Sharif University of Technology
- Department: Industrial Engineering
- Advisor(s): Rafie, Majid
- Abstract:
- Supplier selection and order quantity allocation problem is one of the most complex making decision problems comes into account. In the past, supplier selection done based on criteria such as price, quality and delivery time. Today's supply chains with the aim of expanding business activities and improving their performances, Follow process such as outsourcing, product development, and selection of multi-supplier strategies. This conditions will bring opportunities and threats for supply chains. One of the possible risks to supply chains are disruption risks and disruption has been a great concern in the past decade and disruption of suppliers are one of the new topics that have recently been addressed. So we can conclude that the dynamics of the global markets, the complexity of the business environment and increased competition forced us to form a resilient supply chain that have the flexibility to these changes As well as it could be a competitive advantage to continue the competition in global markets. In this study we are taken into account a two-echelon supply chain, including producer and suppliers, and we plan to select several suppliers, fortified suppliers, emergency inventory pre-positioning, and multiple transportation suppliers so that provide a portfolio of suppliers that has an resilience against disruption.so when suppliers are disturbed, do not leading to the stop of the flow of materials from suppliers to producer, and supply chain will return to its original state in the shortest possible time. In this problem we considered demand to be non-deterministic and the problem is modeled as an mixed integer programming model that its aims are: minimize the costs of purchasing, fortification, holding excess inventory, order, delays and unfulfilled the producers order that this issue has been modeled as a mixed integer programming model
- Keywords:
- Disruption Risk ; Supplier Selection ; Integer Programming ; Uncertainty ; Resilience ; Fortified Suppliers
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