Simulation/Optimization in Cash Logistics Management

Term: 
2018-2019 Summer
Faculty Department of Project Supervisor: 
School of Management
Number of Students: 
2

A large bank is considering to improve its cash logistics operations of its ATMs. Towards this end, a series of simulation/optimization models will be developed to assist them in their cash movement decisions. In this project a series of programs will be coded. Knowledge of probability and statistics is desirable, programming capability with C++ or Python is essential.

Related Areas of Project: 
Computer Science and Engineering
Industrial Engineering

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