| Article ID: | iaor200971539 |
| Country: | Germany |
| Volume: | 9 |
| Issue: | 2 |
| Start Page Number: | 183 |
| End Page Number: | 198 |
| Publication Date: | Aug 2009 |
| Journal: | Operational Research |
| Authors: | Spyridakos Athanasios, Tsotsolas Nikos, Mellios John, Siskos Yiannis, Yannakopoulos Denis, Kyriazopoulos Panagiotis |
| Keywords: | inventory: order policies, artificial intelligence: decision support |
Most of the software systems developed to support the inventory control process for modern industrial units are based on the common economic order quantity models (EOQ) and they utilise parameters, which are estimated either empirically or through some kind of statistical process regarding the transactions of materials for a particular time period. This research work deals with the development of an integrated decision support system, the SAINC system, for decisions related to the inventory control for cement industries. The proposed system is characterised by its capability to: (a) treat large volume of data in real time; (b) estimate inventory control parameters' values in real time by taking into consideration all the significant factors; (c) support decisions that concern the inventory control at a tactical and strategic level; and (d) cooperate with any information system for logistics management.