The Java programming language (2nd ed.)
The Java programming language (2nd ed.)
Parallel and distributed simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Developing interest management techniques in distributed interactive simulation using Java
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Supply chain vs. supply chain: using simulation to compete beyond the four walls
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Distributed supply chain simulation in a DEVS/CORBA execution environment
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
An agent-based DDM for high level architecture
Proceedings of the fifteenth workshop on Parallel and distributed simulation
Towards COTS distributed simulation using GRIDS
Proceedings of the 33nd conference on Winter simulation
Parallel and distributed simulation
Applied system simulation
Simulation in the supply chain context: a survey
Computers in Industry
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Supply chain simulation: distributed supply chain simulation using a generic job running framework
Proceedings of the 35th conference on Winter simulation: driving innovation
Winter Simulation Conference
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Amongst the majority of work done in Supply Chain Simulation, papers have emerged that examine the area of model distribution. The executions of simulations on distributed hosts as a coupled model require both coordination and facilitating infrastructure. A distributed environment, the Generic Runtime Infrastructure for Distributed Simulation (GRIDS) is suggested to provide the bonding requirements for such a model. The advantages of transparently connecting the distributed components of a supply chain simulation allow the construction of a conceptual simulation while releasing the modeler from the complexities of the underlying network. The infrastructure presented demonstrates scalability without loosing flexibility for future extensions based on open industry standards.