Simulation intelligence and modeling for manufacturing uncertainties
作者： Hamid Seifoddini , Sk Ahad Ali
关键词: Manufacturing execution system 、 Fuzzy rule 、 Process development execution system 、 Engineering 、 Intelligent decision support system 、 Production (economics) 、 Computer-integrated manufacturing 、 Fuzzy set 、 Manufacturing engineering 、 Simulation modeling
摘要: The realistic simulation modeling becomes very essential and effective for designing managing of manufacturing systems, which needs to be addressed dynamics. This research includes uncertainties in the form intelligence improve system's performance high-mix low-volume systems. It shows how can used evaluate alternative designs a dynamic uncertain environment. Fuzzy rule based machine, labor logistics are this study. A combination product mix production volume is analyzed using intelligent model an optimal system meet future customer demands. Intelligent knowledge significant close real-life scenario. proposed validated with real life application.
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