Abstract
Currently, the area of stone-store sale requires a suitable solution how to solve the issue of warehouse stock as well as the process of purchasing. This paper proposes an expert system which takes into consideration past periods and various impacts on sales and subsequently proposes how much goods should be ordered for the next period. Individual steps and parts of the expert system are described in the paper. The proposed expert system is verified on a particular example.
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Walek, B., Farana, R. (2015). Proposal of an Expert System for Predicting Warehouse Stock. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Software Engineering in Intelligent Systems. Advances in Intelligent Systems and Computing, vol 349. Springer, Cham. https://doi.org/10.1007/978-3-319-18473-9_33
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DOI: https://doi.org/10.1007/978-3-319-18473-9_33
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18472-2
Online ISBN: 978-3-319-18473-9
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