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Session: |
Intelligent Mobile Agents in Peer -to- Peer Networks Sunday, February 29, 2004, 12.20 – 12.40 |
Session Chair: Vice Chair: |
Jorge Marx-Gomez Daniel Lübke |
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Paper Title: |
Mobile Agent Based Supply Chain Modeling With Neural Network Controlled Services |
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Author(s): |
M. Ermis, Industrial Engineering Dept., Air Force Academy, Istanbul, Turkey O. K. Sahingoz, Computer Engineering Dept., Airforce Academy, Istanbul, Turkey F. Ulengin, Industrial Engineering Dept., Air Force Academy, Istanbul, Turkey |
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Abstract: |
Supply Chain refers to any system of consisting of multiple entities (companies or business units within an enterprises), that depend on each other in some way in conducting their businesses. In this paper, we intend to introduce a new approach, based on mobile agents, which is capable in providing near-optimal adaptive business and knowledge management strategies to help managers for reducing mental efforts as well as search costs. Our mobile agent based system uses the publish/ subscribe communication mechanism, therefore, customers and suppliers can dynamically connect and disconnect to the system at any time. System uses mobile agents as a mediator between customers and suppliers, with a two-leveled mobile agent structure and some design details of the procurement process that is a part of an ongoing research at Turkish Air Force Academy, based on neural network approach of a supply chain management system is represented and implemented. |
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