Towards the Development of an Algorithm to Discover Out-Of-Shelf Situations

Dimitrios A. Papakiriakopoulos ()
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Dimitrios A. Papakiriakopoulos: Athens University of Economics and Business

A chapter in Consumer Driven Electronic Transformation, 2005, pp 167-177 from Springer

Abstract: 4 Conclusions In this article, we have briefly presented a general model for the Out-Of-Shelf, examined the results of the European Out-Of-shelf Index, which addresses only fast-moving items, and briefly presented our method of work for the development of a new algorithm that could capture more OOS cases. Yet, the development of precise association rules is a matter of investigation. The dynamically changing environment and the existence of divergent cases regarding the Out-Of-shelf problem do not permit the development of one solution that fits all cases. Thus, an OOS algorithm requires careful analysis of the problem, which could be served by the incorporation of several variables.

Keywords: Association Rule; Inventory Level; Retail Store; Average Sale; Physical Survey (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-27059-1_11

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DOI: 10.1007/3-540-27059-0_11

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