Kovalchuk, Y and Fasli, M (2008) Evaluating adaptive customer strategies in TAC SCM. In: UNSPECIFIED, ? - ?.
Full text not available from this repository.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) |
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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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