DDDAS-based multi-fidelity simulation framework for supply chain systems

摘要: Dynamic-Data-Driven Application Systems (DDDAS) is a new modeling and control paradigm which adaptively adjusts the fidelity of simulation model. The model adjusted against available computational resources by incorporating dynamic data into executing model, then steers measurement process for selective date update. To this end, comprehensive system architecture methodologies are first proposed, where components include real-time DDDAS simulation, grid modules, web service communication server, databases, various sensors real system. Abnormality detection, selection, assignment, prediction task generation enabled through embedded algorithms developed in work. Grid computing used management services inter-operable communications among distributed software components. proposed demonstrated on an example preventive maintenance scheduling in...