Alexander Verbraeck

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Distributed simulation is used very little in industry, especially when compared with the interest in distributed simulation from research and from the military domain. In order to answer the question why industry lags behind, the authors have carried out an extensive survey, using a questionnaire and interviews, with users, vendors, and developers of(More)
In order to support the conceptualization and specification of simulation models of complex systems, several <i>formalisms</i> or <i>world views</i> exist. Petri nets, differential equations, discrete event system specification and process interaction are typical examples. Throughout the last decade many have attempted to implement the <i>process(More)
Parallel simulation and distributed simulation sometimes appear to be two different worlds. Where parallel simulation aims at increasing the speed of a single model by distributing it over more processors, distributed simulation looks at ways to link entire models or federates that run on different computers. In the case of distributed simulation, the(More)
Ahstracl Researchers at Delft University and the Robert H. Smith School of Business at the University of Maryland have developed the "Global Supply Chain Game" (GSCG). A specific instance of the game is called the "Distributor Game," centered on globalization and the real-time supply chain. The GSCG differs from many existing business learning games in(More)
Manufacturing control systems are extremely hard to design and test. Testing Programmable Logic Controller (PLC) software in an on-line manufacturing setting can be costly, dangerous, and inefficient. The availability of a seamless transition between the real manufacturing process and a simulated manufacturing process on the one hand, and a real PLC and a(More)
Most discrete event simulation environments are based on a process-oriented, and therefore multi-threaded paradigm. This results in simulation environments that are very hard to distribute over more computers, and not easy to integrate with scattered external information sources. The architecture presented here is based on the event-based DES paradigm which(More)
Sociotechnical systems are large technical systems comprising many stakeholders (e.g.: Supply chains, Transportation networks, Energy distribution systems etc.). Decision making in such systems is complex, as the stakeholders are inter-dependent and the large size of the systems leads to insufficient Shared Situational Awareness (SSA), which is important(More)