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The role of logistics in the construction industry is considered as a key to better performance and customer quality. This paper proposes a method to model the connection between logistics resources dedicated to a construction project and its schedule success using artificial neural networks. Schedule success can be regarded as one of the major element of customer satisfaction. Therefore a tool with...
In our paper we propose a new method for the strategic level performance measurement and decision making by presenting two case studies performed in 2011. We proposed a computational intelligence method to establish connection between basic operational level data and important strategic level indicators. In the first case study this indicator is related to performance measurement. In the second case...
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