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Source publication
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....
Context in source publication
Context 1
... standards and guidelines being followed in the country's policy on food safety. The raw milk received in the plant goes through filtration, testing, chilling, standardization, homogenization, pasteurization, and packing of liquid milk and milk products of different kinds. The flow diagram of 100,000 L per day milk processing plant is shown in Fig. 3. As the performance of its subsystems affects the availability and quality of the final product, every stage of the process has to be analyzed carefully. The quality of the final product is also dependent on hygiene and compliance of specified standards to guarantees the quality of the final packed milk. Some essential functional ...
Citations
... They have also performed the sensitivity analysis for the system in terms of system availability and reliability against the different combinations of input parameters. Kumar et al. [8] used the Petri nets modeling method for the performance assessment of a milk processing plant. They have also performed the profitability analysis for this system. ...
The Petri nets modeling method is a powerful tool for the performance analysis of industrial systems. The main factor which makes it more effective among the various popular simulation methods is the ability to deal with the real working conditions. The data obtained from such a manufacturing system is generally full of uncertainties and the Petri nets modeling method deals with this data to reflect the real behavioral pattern of different sub-systems installed in the plant. The Petri nets-based simulation method provides the availability of the sub-systems for a long time period by running the plant in virtual manners. The results obtained through the analysis can be utilized to identify those sub-systems which highly affect the system availability and separate maintenance planning for each sub-system can reduce the production loss due to unavailability of any sub-system for performing its intended task. The proposed methodology has been demonstrated in this paper using a complex repairable manufacturing system.
This paper describes the performance assessment of paint manufacturing (PM) unit using stochastic Petri Nets modelling method. The Petri Nets-based modelling method provides more realistic availability results in the performance assessment of complex industrial systems. The ability to deal with multiple failures in the system simultaneously makes the proposed simulation method more powerful graphical tool among the different simulation techniques. The performance assessment of the system is executed with the help of data recorded from the maintenance history sheet for various sub-systems and translated in the input failure and repair rate parameters for proposed simulation method. The Petri Nets modelling method run the plant in virtual manner and the system availability is found to be 80.27% substituting the input parameters in the timed transitions of each sub-system. Further, the performance assessment through Patri Nets Model is compared with Markov Model solution to verify the findings. The results obtained in this paper reflect the realistic behavior of the system and provide a better understanding for maintenance planning.
