Application of Simulation Modelling to Machine Breakdown

摘要: Industrial technology has excelled profoundly in the past few decades, helping organisations throughout world to be more efficient all processes and keeping costs down. However, despite abundance of several IT solutions, there exist many problems where than one decision made. Among techniques supporting a multi-decisional context, simulations can undoubtedly play an important role as they provide what-if analysis hence help evaluate quantitative benefits. This thesis develops simulation model for breakdown industrial machine, main crusher cement factory. It also examines three parameters (Drill Head, Dusting Lubrication) machine with use Bayesian network modelling which allows determination suitable influencing factors precise dynamic manner. The supports integration management systems such J.I.T, MRPII. Witness software been used this work frequency Crusher associated parameters. Network Modelling is consider historical data expert opinions; Bayes’ approach takes into consideration off existing that affect directly or indirectly. tool capable establishing probability based on information gathered about developed further enable applied via Chain Rule calculate failure. findings research show work, development process integrated model. provides unique aid making understanding breakdowns. resulting simulator analysing status factors. uses multiple performance measures user-defined set inputs opinion. methodology study importance key machine. effect highlights correlation between governing occurrence breakdown.