A hybrid paradigm for modeling of complex systems
Artificial intelligence, simulation & modeling
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Software Reuse: Domain Analysis and Design Processes
Software Reuse: Domain Analysis and Design Processes
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Web-based simulation 1: D-SOL; a distributed Java based discrete event simulation architecture
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Next generation modeling II - applications: modeling control in manufacturing simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Multi-formalism modeling approach for semiconductor supply/demand networks
WSC '04 Proceedings of the 36th conference on Winter simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
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Material flow processing networks are ubiquitous in modern society. Such networks embody uncertainty, advanced decision logic, and increased performance expectations. As such, they have been subject to analysis by a variety of methods, with one of the most prominent being discreteevent simulation. Simulation enables detailed flow modeling, incorporates uncertainty and allows experiment-based performance assessment. Traditional approaches to simulation are not well-suited to modeling advanced decision logic, though. This paper explores the issue of representing advanced decision logic and presents a reference model for material flow processing networks to support such representations. Implementation issues are discussed, as well.