Abstract
In our paper we propose a new method for the strategic level performance measurement at a warehouse in Hungary. The growing challenge of remaining successful in the warehousing forced the given warehouse to introduce and use a new tool for monitoring and forecasting strategic level indicators. Our proposed tool uses computational intelligence to establish connection between basic operational level data and important strategic level indicators. In this article we present the idea behind this tool and the process of programming and learning with company data. Finally, an evaluation is presented based on the results of the program run.
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© 2012 Springer-Verlag Berlin Heidelberg
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Németh, P., Földesi, P., Botzheim, J. (2012). Improving the Strategic Level Performance Measurement in Warehousing Processes. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29920-9_37
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DOI: https://doi.org/10.1007/978-3-642-29920-9_37
Publisher Name: Springer, Berlin, Heidelberg
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