Augustyn Lorenc
Assistant Professor
Cracow University of Technology
Małgorzata Kuźnar
Research Assistant
Cracow University of Technology
Tone Lerher
Full Professor
University of Maribor
Assistant Professor
Cracow University of Technology
Małgorzata Kuźnar
Research Assistant
Cracow University of Technology
Tone Lerher
Full Professor
University of Maribor
Artificial Intelligence methods for solving Product Allocation Problem (PAP)
In the paper, the new approach for the classification of the problem is presented. Authors used real picking data from the Warehouse Management System (WMS) from peak season from September to January. Artificial Neural Network (ANN) and Machine Learning (ML) were used to develop a new classification method. Base on the picking list the clients' orders were prepared. These orders were used as input data to ANN and ML. This method base on the orders for each day and the previous class of the product returns the optimal classification. Developed method is based on the actual and past situation for predicting the importance of each product. In the reseach over 380000 picks for almost 1600 locations were used. In the paper, the architecture of the system module for solving the PAP problem is presented.
