Performance assessment of milk processing system using Petri nets
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Performance assessment of milk processing system using Petri nets Narendra Kumar1 · P. C. Tewari1 · Anish Sachdeva2 Received: 23 December 2019 / Accepted: 29 July 2020 © Springer Nature Switzerland AG 2020
Abstract The study presents the quantitative effect of the recorded failure and repair data on the performance of a liquid milk processing plant in terms of its availability and reduced capacity. Process modeling and behavioral analysis of the system has been carried out by dividing the system into four subsystems placed in series using Petri Nets approach. A licensed software package (named Petri module of GRIF) has been used for model formalism and its simulation. The results of this study are expected to be useful to the proprietors of the milk processing plant as well as for practitioners from other fields such as multiprocessor electronic systems, telecommunication systems and production systems among others who want to analyze, understand and predict the behavior of various types of equipments. Reliability, Availability, and Maintainability modeling tools described here can be of helpful to them in planning selective maintenance strategies for their systems. Keywords Availability analysis · Maintenance · Modelling tools · Profitability · Petri nets
1 Introduction In the present business scenario achieving and maintaining specific level of operational availability of sophisticated and complex systems is highly competitive and challenging. It requires substantial capital investment, and any shortcoming may lead to consequences that result into penalty in terms of safety, revenue as well as reputation etc. The survival of such systems depends very much upon the design and development of an appropriate efficient system that has high payback ratio. In view of this every plant manager wants to have a system that operates smooth and failure-free under the specified operative conditions that can help him in achieving the set goal of production volume and quality. In the present study, detailed investigation of the performance realistic industrial system of a liquid milk processing plant that consists of several dependent subsystems with non-constant failure rates has been considered.
We have used the Generalized Stochastic Petri Nets (GSPN) approach to model and evaluate the system behavior in terms of its availability and reduced capacity mode. Subsequent effect of availability on the profitability of the plant under varying failure and repair parameters of various subsystems has also been analysed and a Decision support System (DSS) has been proposed which can be useful for making strategies like requirement of spare parts, maintenance priorities and human resource required etc. The study is intended to emphasize the use of RAM tools in various stages of the plant life cycle. The following subsections present the detailed classification of modeling tools.
1.1 Modeling tools In the last few decades, a large amount of research has dealt with the realistic industrial problems and proposing means for developi
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