Within the context of supply chain simulation, this paper introduces the generic runtime infrastructure for distributed simulation as a novel infrastructure for distributed supply chain simulation that promotes user transparency and extensible service provision. These are discussed with regard to a distributed simulation of a supply chain model (federation) GRIDS-SCF and a case study on supply chain simulation from the automotive industry. The main aim of this work is to provide industry with a business benefit from distributed simulation by making it possible to connect and reuse previously developed models in a supply chain while minimizing technological intervention (additional technological skills required) with the end user simulationist. It is suggested that this approach may pave the way for distributed supply chain simulation that emphasizes simulation methodology rather than technology.

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.

Bandwidth consumption in distributed real-time simulation, or networked real-time simulation, is a major problem as the number of participants and the sophistication of joint simulation exercises grow in size. This paper briefly reviews distributed real-time simulation and bandwidth reduction techniques and introduces the Generic Runtime Infrastructure for Distributed Simulation (GRIDS) as a research architecture for studying such problems. GRIDS uses Java abstract classes to promote distributed services called thin agents, a novel approach to implementing distributed simulation services, such as userdefined bandwidth reduction mechanisms, and to distributing the executable code across the simulation. Thin agents offer the advantages of traditional agents without the overhead imposed by mobility or continuous state, which are unnecessary in this context. We present our implementation and some predicted results from messagereduction studies using thin agents.

The Generic Runtime Infrastructure for Distributed Simulation (GRIDS)