Location Routing Inventory Problem Using Robust Optimization Approach, M.Sc. Thesis Sharif University of Technology ; Akbari Jokar, Mohammad Reza (Supervisor)
Abstract
This thesis studies a multi–period location–routing–inventory problem in a three layer supply chain including manufacturers, distribution centers and customers with consideration of capacity constraint in distribution centers and heterogeneous fleet of vehicles. Moreover, the demand parameter is considered uncertain and there is no available information about distribution function of demand parameter. For handling problem uncertainty, Bertsimas and sim robust optimization approach is used and a mixed integer programming is presented for both deterministic problem and robust counterpart problem. Then simulated annealing and genetic algorithms are proposed to solve the model....
Cataloging briefLocation Routing Inventory Problem Using Robust Optimization Approach, M.Sc. Thesis Sharif University of Technology ; Akbari Jokar, Mohammad Reza (Supervisor)
Abstract
This thesis studies a multi–period location–routing–inventory problem in a three layer supply chain including manufacturers, distribution centers and customers with consideration of capacity constraint in distribution centers and heterogeneous fleet of vehicles. Moreover, the demand parameter is considered uncertain and there is no available information about distribution function of demand parameter. For handling problem uncertainty, Bertsimas and sim robust optimization approach is used and a mixed integer programming is presented for both deterministic problem and robust counterpart problem. Then simulated annealing and genetic algorithms are proposed to solve the model....
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