The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
Applications of distributed artificial intelligence in industry
Foundations of distributed artificial intelligence
Decentralized supply chains subject to information delays
Management Science
Digital Capital: Harnessing the Power of Business Webs
Digital Capital: Harnessing the Power of Business Webs
Computers play the beer game: can artificial agents manage supply chains?
Decision Support Systems - Special issue: Formal modeling and electronic commerce
Guidelines for Collaborative Supply Chain System Design and Operation
Information Systems Frontiers
Agent-Oriented Software Engineering
MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
Simulation, a framework for analysing SME supply chains
WSC '04 Proceedings of the 36th conference on Winter simulation
A conceptual model for the creation of supply chain simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Agent-Based Manufacturing and Control Systems: New Agile Manufacturing Solutions for Achieving Peak Performance (APICS Series on Resource Management)
Multi-Agent Systems: Simulation and Applications
Multi-Agent Systems: Simulation and Applications
MAS approach to business models simulations: supply chain management case study
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
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The paper presents the application of Multiagent Based Simulation to analysis of supply chain behavior. As has been shown in the paper, agent oriented approach may be considered as a powerful conceptual framework for organization modeling and workbench for simulations of intra- and inter-organizational business processes. All of these theses have gradually been proved in the subsequent sections of the article. Firstly the agent paradigm has been presented as a toolbox for business modeling and complexity management. Then the classical model of supply chain simulation has been transformed to its agent-based version. Finally the case study presents how the agent model of the supply chain may be used in the process of bullwhip effect analysis based on the simulation experiment.