Behaviour Analysis Of A Refrigeration Plant: A Case Study Of Saras Dairy Plant Jaipur – Rajasthan

Authors

  • Ritu Rani, Dr. Bhawana

DOI:

https://doi.org/10.64882/ijrt.v14.i2.1428

Keywords:

Reliability Analysis, Saras Dairy, MTSF, Availability, RPGT, Mathematical Modeling

Abstract

This paper presents a mathematical modeling and behaviour analysis of the refrigeration system at Saras Dairy Plant, Jaipur, Rajasthan. Focusing on three critical subunits—the condenser, expansion device, and evaporator—the study employs reliability engineering principles and the Regenerative Point Graphical Technique (RPGT) to quantify system performance. Analytical expressions are derived for mean time to system failure (MTSF), availability, server busy period, and expected maintenance visits, under varying failure and repair rates. Sensitivity analysis reveals the influence of subsystem reliability on plant uptime, maintenance workload, and cost optimization. The findings offer actionable insights for dairy plant managers to optimize preventive maintenance, minimize product losses, and enhance operational efficiency, contributing to improved food safety and economic sustainability.

References

• Arya, R., and Verma, A. (2025). Reliability and availability prediction of embedded systems based on environment modeling and simulation. ISAR Journal of Science and Technology, 74-78.

• Agrawal, A., Garg, D., Kumar, A., and Kumar, R. (2021). Performance Analysis of the Water Treatment Reverse Osmosis Plant. Reliability: Theory & Applications, 16-25.

• Dahiya, O., Kumar, A., and Saini, M. (2019). Mathematical modeling and performance evaluation of A-pan crystallization system in a sugar industry. SN Applied Sciences, 339-345.

• Devi, M., Gupta, V. K., and Kumar, V. (2018). Path Analysis for MTSF and Availability of a Three-Unit Standby Stochastic System. Aryabhatta Journal of Mathematics & Informatics, 405-412.

• Kumar, A., and Malik, S. (2014). Reliability Modelling of a Computer System with Priority to H/W Repair over Replacement of H/W and Up-gradation of S/W Subject to MOT and MRT. Jordan Journal of Mechanical & Industrial Engineering, 233-244.

• Kumar, A., Garg, D., Goel, P., and Ozer, O. (2018). Sensitivity analysis of 3:4:: good system. International Journal of Advance Research in Science and Engineering, 851-862.

• Rohit, and Poonia, M. S. (2023). Sensitivity Analysis of a Steel Industrial Plant in Hisar District Using RPGT. Eur. Chem. Bull., 17816-17823.

• Ritikesh, and Goel, P. (2015) Availability Modeling of Single Unit System Subject to Degradation Post Repair After Complete Failure using RPGT. International Conference on Innovation Research in Engineering, Science and Management, 57-65.

• Ranjan, R., Singh, S., and Upadhyay, S. K. (2015). A Bayes analysis of a competing risk model based on gamma and exponential failures. Reliability Engineering & System Safety, 35–44.

Downloads

How to Cite

Ritu Rani, Dr. Bhawana. (2026). Behaviour Analysis Of A Refrigeration Plant: A Case Study Of Saras Dairy Plant Jaipur – Rajasthan. International Journal of Research & Technology, 14(2), 1218–1225. https://doi.org/10.64882/ijrt.v14.i2.1428

Issue

Section

Original Research Articles

Similar Articles

<< < 15 16 17 18 19 20 21 22 23 24 > >> 

You may also start an advanced similarity search for this article.