Abstract
Simulation of customer behavior in a store was conducted by Cellular Automata. Customer moved around in a store depending on the layout of items, so the layouts of a store have large effect on amount of sales. But in fact, it is difficult for retailers to design the best layout, because there are large amount of items hi a store. In such a case, computer simulation is a powerful tool. We modeled the customer behavior in a store by using Cellular Automata (CA). CA is one of discrete modeling methods. In CA algorithm, local neighbor rules are defined as interaction of elements which compose the phenomena. By using CA, we modeled the interactions of customers hi a store based on the personal space, and also interactions between customers and items. As a result, customers walked around hi a store depending on the layout of goods and the movement of other customers.
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