|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
An Agent-Based Collaborative Model For Supply
Chain Management Simulation |
Authors: |
Carlos M. Vieira, Ana Paula Barbosa-Póvoa,
Carlos Martinho |
Published in: |
(2012).ECMS
2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European
Council for Modeling and Simulation. doi:10.7148/2012 ISBN:
978-0-9564944-4-3 26th
European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz,
Germany, May 29 – June 1 2012 |
Citation
format: |
Viera, C. M., Barbosa-Povoa,
A. P., & Martinho, C. (2012). An Agent-Based
Collaborative Model For Supply Chain Management Simulation. ECMS 2012
Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann
(pp. 318-324). European Council for Modeling and Simulation. doi:10.7148/2012-0318-0324 |
DOI: |
http://dx.doi.org/10.7148/2012-0318-0324 |
Abstract: |
In
traditional supply chain (SC), planning problems are usually considered
individually at each SC entity. However, such decisions often influence the
other members in the chain and thus an integrated approach should be
considered. By modelling system-wide SC networks,
different SC problems, like production planning, coordination, order
distribution, among others, can be integrated and solved simultaneously so
that the solution is beneficial to all entities in a long- term base. In an
attempt to make progress in this area, researchers use various methods for modelling the dynamics of SCs.
In the literature review, due to their distinctive characteristics,
multi-agent-based systems have emerged as one of the most adequate modelling tools for tackling various aspects of SC
problems. In this work, a multi-agent supply chain system (MASCS) model that
integrates different SC processes is presented. The proposed model allows modelling different SCs with
multi-products and different operational policies considering information
asymmetry and distributed/decentralized mode of control. In this article the details of the
MASCS model development and implementation are presented. Furthermore, the
applicability of the proposed MASCS is briefly demonstrated through the
solution of a SC example. The obtained results are discussed and research
extensions are outlined. |
Full
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