At the factory level, the manufacturing system can be\n\ndescribed as a group of processes governed by complex\n\nweaves of engineering strategies and technologies. Deci?\n\nsion-making processes involve a lot of information, driven\n\nby managerial strategies, technological implications and\n\nlayout constraints. Many factors affect decisions, and their\n\ncombination must be carefully managed to determine the\n\nbest solutions to optimize performances. In this way,\n\nadvanced simulation tools could support the decisional\n\nprocess of many SMEs. The accessibility of these tools is\n\nlimited by knowledge, cost, data availability and develop?\n\nment time. These tools should be used to support strategic\n\ndecisions rather than specific situations.\n\nIn this paper, a novel approach is proposed that aims to\n\nfacilitate the simulation of manufacturing processes by fast\n\nmodelling and evaluation. The idea is to realize a model\n\nthat is able to be automatically adapted to the user�s specific\n\nneeds. The model must be characterized by a high degree\n\nof flexibility, configurability and adaptability in order to\n\nautomatically simulate multiple/heterogeneous industrial\n\nscenarios. In this way, even a SME can easily access a\n\ncomplex tool, perform thorough analyses and be supported\n\nin taking strategic decisions. The parametric DES model is part of a greater software\n\nplatform developed during COPERNICO EU funded\n\nproject.
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