| Article ID: | iaor200944737 |
| Country: | United Kingdom |
| Volume: | 5 |
| Issue: | 34 |
| Start Page Number: | 375 |
| End Page Number: | 395 |
| Publication Date: | Jan 2009 |
| Journal: | International Journal of Logistics Systems and Management |
| Authors: | Lamothe Jacques, Lauras Matthieu, Pingaud Herve |
| Keywords: | information, knowledge management |
It is often really difficult to capture and exploit knowledge about a given supply chain, covering all types of flows and business processes. Supply chain managers have frequently to make diagnosis and need realistic representations of their supply chain. We work on a methodology that tries to help them in this way. First, a framework is designed to capture information on multiple dimensions of supply chain, from structural to operational aspects. Then, a data analysis approach is detailed and put into practice to explain the differences between current and ideal entities, so that progress actions can be identified.