Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
Time warp on a shared memory multiprocessor
Transactions of the Society for Computer Simulation International
Network programming in Windows NT
Network programming in Windows NT
Sliding mode dynamics in continuous feedback control for distributed discrete-event scheduling
Automatica (Journal of IFAC)
Fuzzy rule generation for adaptive scheduling in a dynamic manufacturing environment
Applied Soft Computing
Expert Systems with Applications: An International Journal
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This paper proposes a distributed simulation approach for scheduling discrete-events in manufacturing shop floors. The proposed approach employs a time-driven method to simulate occurrence of discrete-events using distributed entities that replicate physical entities in the manufacturing shop floor. In specific, the proposed approach iteratively controls the timing of discrete-events occurrence using a control theoretic model. In this approach, changing the speed of the simulation clock, termed time-scaling factor, can accelerate or decelerate the simulation speed resulting in simpler synchronizations of discrete-events and faster simulation than standard distributed discrete-event simulations according to the capability of the communication networks. Computational experiments are conducted to test the performance of the proposed system with different values of the time-scaling factor, and the relationship between the system performance and the time-scaling factor is investigated through analysis of the system model. Results obtained from the computational experiments show significant successes in speeding up discrete-event simulations in such a way that the proposed approach can be used for the control of manufacturing shop floors, providing real-time decision supports.