Reliability Analysis Of Dal Milling Plants In Rajasthan Using Regenerative Point Graphical Technique

Authors

  • Vikas Kumar, Dr. Arun Kumar

Keywords:

Dal milling, Regenerative Point Graphical Technique (RPGT), Mean time to system failure, Availability, Preventive maintenance, Rajasthan, System modeling, Profitability

Abstract

This paper presents a comprehensive reliability analysis of dal (pulses) milling plants in Rajasthan, utilizing the Regenerative Point Graphical Technique (RPGT) to model and evaluate system performance. By considering the interconnected operations of cleaning and dehusking, splitting and grading, and polishing and packaging, the study captures the complexity of multi-unit agro-processing systems. The analysis incorporates probabilistic modeling of failure and repair dynamics, accounts for operational states ranging from full capacity to partial and complete failures, and integrates maintenance strategies within a rigorous quantitative framework. Results highlight the critical impact of repair and failure rates on mean time to system failure, availability, maintenance workload, and overall profitability. The findings provide actionable insights for plant managers and stakeholders, emphasizing the importance of preventive maintenance and reliability optimization in enhancing the efficiency and economic returns of Rajasthan’s pulses milling sector.

References

Agrawal, A., Garg, D., Kumar, A., & Kumar, R. (2021). Performance analysis of the water treatment reverse osmosis plant. Reliability: Theory & Applications, 16(3), 16-25.

Kumar, A. (2023). Profit analysis of a bread making system using RPGT. International Journal of Engineering, Science and Mathematics, 12(6), 191-198.

Kumar, A. (2023). Sensitivity analysis of a polytube industry using RPGT technique. International Journal of Research in Engineering and Applied Sciences, 13(7), 30-44.

Kumar, A. (2023). Mathematical modeling and sensitivity analysis of a bread making system using RPGT. International Research Journal of Mathematics, Engineering and IT, 1-12.

Kumar, A. (2023). Profit analysis of 3:4:: Good system with preventive maintenance. ZENITH International Journal of Multidisciplinary Research, 13(9), 157-166.

Kumar, A. (2023). System modeling and behavior analysis of a cold standby system with waiting time for repair. In Proceedings of the National Conference on Research, Innovations & Practices in Mathematics, Computational & Physical Sciences (pp. 102-108).

Kumar, A., Garg, D., & Goel, P. (2019). Mathematical modeling and behavioral analysis of a washing unit in paper mill. International Journal of System Assurance Engineering and Management, 1(6), 1639-1645.

Kumar, A., & Mimansha. (2025). Reliability optimization of complex system under failure dependencies: A dynamic method in adaptive cuckoo optimization. International Journal of System Assurance Engineering and Management, 1-10.

Purnima, Kumar, A., & Kumar, N. (2024). Sensitivity analysis of warm stand-by three units system using RPGT technique. International Journal of Engineering, Science & Mathematics, 13(2), 46-60.

Rani, P., Malik, S., & Kumar, A. (2025). Mathematical modeling and behaviour analysis of a case study of rice plant using RPGT technique. International Journal of Statistics and Applied Mathematics, 10(3), 9-15.

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How to Cite

Vikas Kumar, Dr. Arun Kumar. (2025). Reliability Analysis Of Dal Milling Plants In Rajasthan Using Regenerative Point Graphical Technique. International Journal of Research & Technology, 13(S4), 706–712. Retrieved from https://ijrt.org/j/article/view/1402

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