Demand Driven Material Requirements Planning is an inventory management method, which can be used in variable environments. Several research papers have shown that it is able to outperform other methods like MRP. In order to perform well it is necessary to set several parameters and currently no algorithm or specific rules exist, which can set the parameters optimally. This Thesis aims to fix this problem by proposing a way in which one can train an artificial intelligence to set such parameters. The artificial intelligence presented in this Thesis performs well in short term environments, however for longterm environments one has to apply some changes to the proposed approach, which are discussed after the evaluation of the results.     «

Demand Driven Material Requirements Planning is an inventory management method, which can be used in variable environments. Several research papers have shown that it is able to outperform other methods like MRP. In order to perform well it is necessary to set several parameters and currently no algorithm or specific rules exist, which can set the parameters optimally. This Thesis aims to fix this problem by proposing a way in which one can train an artificial intelligence to set such pa...     »