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

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Abstract

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 Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor:	Elements
Depositing User:	Elements
Date Deposited:	20 Sep 2012 08:51
Last Modified:	15 Jan 2022 00:43
URI:	http://repository.essex.ac.uk/id/eprint/3809

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