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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kubera, Yoann Mathieu, Philippe Picault, Sebastien |
| Abstract | Since several years, great distribution firms implement more and more complex layout and shelf allocation strategies, so as to force empirical know-how to combine with Artificial Intelligence tools. Thus simulation has become an essential tool for designing efficient article layouts. Mathematical models based on statistical observations have been replaced by agent-based models. In this paper we argue that the modelling of individual behaviors of customers in a supermarket must be done through interaction-oriented approaches, in order to allow large-scale simulations and flexible models. Our model, based on our IODA methodology, is part of a ``Serious Game'' dedicated to vendor training. It takes into account the diversity of customer preferencies, the location of articles, and the side-effects of customer moves, so as to measure the consequence of management choices on the global outcomes of the supermarket. |
| Starting Page | 407 |
| Ending Page | 410 |
| Page Count | 4 |
| ISBN | 9780769541914 |
| DOI | 10.1109/WI-IAT.2010.84 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-08-31 |
| Access Restriction | Subscribed |
| Subject Keyword | Supermarket simulation individual-based models design interactions serious game |
| Content Type | Text |
| Resource Type | Article |
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