Distributed simulation with incorporated APS procedures for high-fidelity supply chain optimization
Proceedings of the 33nd conference on Winter simulation
Experimental validation of new software technology
Lecture notes on empirical software engineering
Multiagent Systems for Manufacturing Control
Multiagent Systems for Manufacturing Control
Multi-behavior agent model for planning in supply chains: An application to the lumber industry
Robotics and Computer-Integrated Manufacturing
Cooperative planning in the supply network: a multiagent organization model
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Modeling and simulation of agent-based complex systems and application to natural disasters
Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Towards of complex natural disasters systems framework
Proceedings of the 2013 Research in Adaptive and Convergent Systems
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Agent-based simulation is considered a promising approach for supply chain (SC) planning, configuration and design. Although there have been many important advances on how to specify, design, and implement agent-based simulation, the concerned literature does not properly addresses the analysis phase. In this early phase, SC stakeholders decide what kind of simulation experiments should be performed and their requirements, which considerably influence the whole development process and the resulting simulation environment. This work proposes an agent-based simulation framework for modeling SC systems in the analysis phase. In addition, it proposes a formal method for converting the analysis model into specification and design models. The proposed framework is being validated by means of an agent-based simulation platform developed in the context of the lumber industry.