Evaluating Adaptive Customer Strategies in TAC SCM

Yevgeniya Kovalchuk, Maria Fasli

Supply Chain Management (SCM) is a complex process which includes a number of interrelated activities such as: negotiating with suppliers for raw materials, competing for customer orders, managing inventory, scheduling production, and delivering goods to customers. In this paper we present a number of strategies to be examined in the domain of SCM. We introduce a multi-agent system which we used to evaluate the proposed methods. We tested the system in the Trading Agent Competition SCM game, which offers a realistic simulated environment for studying SCM strategies. Although we introduce a number of strategies, we concentrate on the ones for predicting winning bidding customer prices to support a successful performance on the customer side of the supply chain.

Subjects: 7.1 Multi-Agent Systems; 14. Neural Networks

Submitted: May 2, 2008


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.