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Robust Supply Chain Network Desing

Nasseri, Mehran | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47286 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Koorosh, Eshghi
  7. Abstract:
  8. Recently, the multi-level and multi-facility industrial problem in supply chain management (SCM) has been widely investigated. Supply chain network design (SCND) is one of the most important strategic decisions in supply chain management. The problem is an important management problem in SCM and aggregates the strategic and tactical and operational level of supply chain planning. The supply networks comprise a number of manufacturing sites, a number of warehouses and distribution centers of unknown locations to be selected from a set of potential locations, and finally a number of customer zones at fixed locations. The system is modeled mathematically as a mixed-integer linear programming optimization problem. The decisions to be determined include the number, location, and capacity of facilities, the transportation links that need to be established in the network, and the flows and production rates of materials. This research proposes a robust optimization model for handling the inherent uncertainty of input data in a supply chain network design problem. First, Three deterministic mixed-integer linear programming model are developed for designing a supply chain network. Then, the robust counterpart of the first proposed mixed integer linear programming model is presented by using the recent extensions in robust optimization theory. Finally, to assess the robustness of the solutions obtained by the presented model, they are compared to those generated by the deterministic mixed-integer linear programming model in a number of realizations under different test problems and its efficiency is shown
  9. Keywords:
  10. Supply Chain ; Network Design ; Routing ; Mixed Integer Programming ; Robust Optimization

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