Możliwości wykorzystania sztucznych sieci neuronowych w logistyce
Possibilities of using artificial neural networks in logistics

Summary/Abstract: The article presents the possibilities of using artificial neural networks tools in various areas of logistics management, including warehouse, distribution and sales process management, as an alternative to traditional methods. Therefore, the principal purpose of the research is to unveil a capability of artificial neural networks, such as fast data transfer and learning of diagnosing problems under constantly changing conditions. The essence of using neural network modeling in areas of logistics management (i.e. warehouse, distribution and sales process management) is, among other things, shortening process management time, elimination of errors and more effective input and output data analysis, resulting minimized service time, costs and the bullwhip effect (Forrester effect), as well as, increased consumers satisfaction. The example used in the paper is ‘Just Walk Out’ technology created by Amazon. The instantiation perfectly picture the implementation of IT solutions and algorithms connected with functioning of artificial neural networks.

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