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Evaluating adaptive customer strategies in TAC SCM

Kovalchuk, Y and Fasli, M (2008) Evaluating adaptive customer strategies in TAC SCM. In: UNSPECIFIED, ? - ?.

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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. Copyright © 2008, Association for the Advancement of Artificial Intelligence.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: AAAI Workshop - Technical Report
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 20 Sep 2012 08:51
Last Modified: 17 Aug 2017 18:08

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