Behavior Analysis of a Biscuit Making Plant using Markov Regenerative Modeling

Modern products ranging from simple components to complex should be designed to be optimal and reliable. The challenge of modern engineering is to ensure that manufacturing costs are reduced and design cycle times are minimized while achieving requirements for performance and reliability. This paper explains a methodology to study the transient behavior of repairable mechanical biscuit shaping System pertaining to a biscuit manufacturing plant. The methodology for determining the availability of the system is based on Markov Modeling. The effect of repair rate on most vulnerable items of the system is examined to realize the highest level of performance. The failure and repair rates of the different subcomponents of the system are taken as constant. Probability considerations at various stages of the system give differential equations, which are solved using Laplace Transform to obtain the state probabilities. Increase in availability of system confers many benefits such as more profit, improved delivery performance and reduced lead times.