Title :
Modeling and simulation of a complex industrial process
Author :
Vescovi, Marcos R. ; Lamega, M.M. ; Farquhar, Adam
Abstract :
Numerical interval simulation combines qualitative and quantitative knowledge to predict when a complex process is violating acceptable margins of productivity and risk. A Brazilian steel plant plans to use the system as an adviser to its workers
Keywords :
common-sense reasoning; decision support systems; digital simulation; human resource management; industrial plants; production engineering computing; risk management; steel industry; Brazilian steel plant; acceptable margins violation prediction; complex industrial process modelling; numerical interval simulation; personnel adviser; productivity margins; qualitative knowledge; quantitative knowledge; risk margins; Chemical industry; Furnaces; Iron; Numerical simulation; Predictive models; Process control; Productivity; Raw materials; Steel; Surges;
Journal_Title :
IEEE Expert
