Modeling and optimization of ATM cash replenishment
نویسندگان
چکیده
Deriving the optimal cash deployment strategy for a network of ATMs involves the analysis of logistics costs, inventory policies as well as of the routing of replenishment vehicles. The optimal cash deployment strategy focuses on the reduction of cash-related expenses provided that ATMs do not run out of cash. In the paper, this rich vehicle routing problem is solved using genetic algorithm. The periodic vehicle routing problem can be seen as a problem of generating a group of routes for each day of a planning horizon so that the constraints involved are satisfied and the global costs are minimized. The proposed model furthermore enables to specify cases with requirements of two replenishments of some of the customers (ATMs) daily, while other customers may need only one replenishing in two days. Key-Words: ATM cash replenishment, vehicle routing problem, multi-depot, periodic, time-windows, genetic algorithm, optimization
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