Locating Treasuries of the Bank and Determining Cash Transportation Mode and Routing Between Branches to Reduce Cost and Risk

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Nazarinia, Samira | 2020

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 52839 (01)
University: Sharif University of Technology
Department: Industrial Engineering
Advisor(s): Akbari Jokar, Mohammad Reza
Abstract:
This research solves a Location-Routing model based on the data of Tejarat bank branches in Tehran. The goal of the model is to minimize the cost of building & operating bank treasuries, optimize the cost of money transferring to branches of the bank & reduce the stealing risk. Because of the wide range of definitions for risk, time parameter is used as risk factor for its importance in bank money car stealing. Non-dominated Sorting Genetic Algorithm which is a common algorithm in multi-objective optimization literature with big data, is used to solve the proposed model
Keywords:
Location-Routing Problem (LRP) ; Genetic Algorithm ; Risk Optimization ; Non-Dominate Sorting Genetic Algorithm (NSGAII) Method ; Cost Optimization ; Locating Bank Treasuries

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