Quantitative assessment of RAM driven risk matrix of offset printing machine

Quantitative assessment of risk matrix through analysis of reliability, availability and maintainability (RAM) is used as quick visual tool for managing potential risk in any continuous production system which can be used for further improved maintenance planning. Fault tree analysis along with failure mode and effect analysis support in assessing risk of minor or major failures associated with different consequences of human impact, production loss, maintenance loss etc. For developing risk matrix, scoring of likelihood and severity are necessary to identify the potential risk zone. An attempt has been made in the present study to assess overall failure scenario of offset-printing machine by analysing reliability of different machine component. Different types of failure frequencies and corresponding failure probability of the machine are set as a value representative likelihood failure data. The critical consequences of these failures are discussed for estimation of actual risk and risk index. Matrix of risk and risk priority number is developed here on the basis of likelihood scores of each kind of failure probability and severity scores by considering different types of breakdown and their associated responsible machine component. Moreover, prioritization of different failure types is validated by MonteCarlo simulation. Based on the risk matrix developed, maintainability and maintenance interval time has been determined which seems to be a novel approach for reduction of risk and breakdown time. Finally, maintenance and safety recommendation on the basis of corresponding risk level and maintainability indicator rating are discussed.