A multi-agent approach for supply chain management using ant colony optimization

被引：0

作者：

Silva, CA ^{[1
]}

Sousa, JMC ^{[1
]}

da Costa, JMGS ^{[1
]}

Runkler, TA ^{[1
]}

机构：

[1] Univ Tecn Lisboa, Inst Super Tecn, Dept Mech Engn, GCAR,IDMEC, P-1049001 Lisbon, Portugal

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年

关键词：

supply-chain management; multi-agent systems; ant colony optimization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Distributed systems like supply chains call be efficiently managed by multi-agent approaches. However the control of each sub-system in a supply chain is a complex optimization problem where optimal performance call be achieved using meta-heuristics. This paper presents a new methodology for supply chain management, a distributed optimization using ant colonies, where the concepts of agents and ant colony optimization are merged, using the pheromone matrix as communication platform. This paper formalizes this methodology, using as all example a supply chain with logistic, supplying and distribution sub-systems.

引用

页码：1938 / 1943

页数：6

共 8 条

[1] Coordinating multiple agents in the supply chain
Barbuceanu, M
Fox, MS
[J]. PROCEEDINGS OF THE 5TH WORKSHOPS ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WET ICE '96), 1996, : 134 - 141
[2] BULLNHEIMER B, 1998, METAHEURISTICS ADV T, P109
[3] DistOpt: A software framework for modeling and evaluating optimization problem solutions in distributed environments
Contreras, J
Losi, A
Russo, M
Wu, FF
[J]. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2000, 60 (06) : 741 - 763
[4] Ant system: Optimization by a colony of cooperating agents
Dorigo, M
Maniezzo, V
Colorni, A
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1996, 26 (01): : 29 - 41
[5] Pinedo M., 2002, SCHEDULING THEORY AL
[6] SILVA CA, 2002, LECT NOTES ARTIF INT, V2902, P9
[7] STUTZLE T, 2000, J FUTURE GENERATION, V8, P889
[8] Modeling supply chain dynamics: A multiagent approach
Swaminathan, JM
Smith, SF
Sadeh, NM
[J]. DECISION SCIENCES, 1998, 29 (03) : 607 - 632

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