Petri Net-Based Decision Support System for Maintenance Prioritization in Butter Oil Production Systems

doi:10.23940/ijpe.25.03.p3.141148

Abstract

Abstract: This study employs Petri nets to conduct an availability analysis of the butter oil production system (BOPS) with the objective of minimizing downtime and improving system availability. The dynamic behavior of complex industrial systems can be analyzed using Petri nets, which provide a robust modelling framework that enables the identification of critical failure-repair cycles within subsystems. The system's performance behavior and availability were investigated in relation to the availability of repair facilities and the effects of varying failure and repair rates using a licensed software suite. The proposed decision support system for maintenance order priority is based on the availability matrices obtained by Petri nets. The maintenance personnel will be able to plan the maintenance policies and schedule in advance and identify the criticality of various subsystems based on the proposed maintenance order.

Key words: availability analysis, evaporating system, sugar industry, petri nets

Parveen Sihmar and Vikas Modgil. Petri Net-Based Decision Support System for Maintenance Prioritization in Butter Oil Production Systems [J]. Int J Performability Eng, 2025, 21(3): 141-148.

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References

[1] Chowdhury M.A.H., Chowdhury S.A.R., Rahman S.M., and Sarkar F., 2024. Comprehensive approaches for ensuring microbial safety in the dairy industry: monitoring systems, inhibitory strategies, and future prospects. Food Control, 110894.
[2] Javaid M., Haleem A., Singh R.P., Suman R., and Gonzalez E.S., 2022. Understand ing the adoption of industry 4.0 technologies in improving environmental sustainability. Sustainable Operations and Computers, 3, pp. 203-217.
[3] Piedad F., and Hawkins M., 2001. High Availability: Design, Techniques, and Processes. Prentice Hall Professional.
[4] Kumar G., Loganathan M.K., and Yadav O., 2023. Semi-Markov modeling applications in system availability analysis. In Engineering Reliability and Risk Assessment, pp. 161-184.
[5] Al-Amoudi M.A.,2021. Studying reliability evaluation of multi state communication systems. International Journal of Advances in Engineering and Management (IJAEM), 3(3), pp. 412-431.
[6] Krishnasamy L., Khan F., and Haddara M., 2005. Development of a risk-based maintenance (RBM) strategy for a power-generating plant. Journal of Loss Prevention in the Process Industries, 18(2), pp. 69-81.
[7] Rand ell B., Lee P., and Treleaven P.C., 1978. Reliability issues in computing system design. ACM Computing Surveys (CSUR), 10(2), pp. 123-165.
[8] Kumar N., Tewari P.C., and Sachdeva A., 2020. Performance modelling and availability analysis of a milk pasteurizing system using petri nets formalism. International Journal of Simulation and Process Modelling, 15(5), pp. 401-409.
[9] Choudhary S., Nayak R., Dora M., Mishra N., and Ghadge A., 2019. An integrated lean and green approach for improving sustainability performance: a case study of a packaging manufacturing SME in the UK. Production Planning & Control, 30(5-6), pp. 353-368.
[10] Garg A., and Deshmukh S.G., 2006. Maintenance management: literature review and directions. Journal of Quality in Maintenance Engineering, 12(3), pp. 205-238.
[11] Kumar S., and Tewari P.C., 2023. Performance optimization of the feed water system of thermal power plant using stochastic petri nets with comparative analysis using PSO. International Journal of Simulation and Process Modelling, 20(1), pp. 1-9.
[12] Sachdeva A., Kumar D., and Kumar P., 2008. Planning and optimizing the maintenance of paper production systems in a paper plant. Computers & Industrial Engineering, 55(4), pp. 817-829.
[13] Singh S., Bahl A., and Sachdeva A., 2023. Stochastic petri nets maintenance modeling of a butter oil processing plant. In International Conference on Production and Industrial Engineering, pp. 255-266.
[14] Bahl A., Singh S., and Singh J., 2022. Availability analysis of shoe manufacturing unit using petri nets. In Recent Trends in Industrial and Production Engineering: Select Proceedings of ICAST 2020, pp. 37-46.
[15] Modgil V.,2022. Modelling and availability analysis of container manufacturing industry with petri nets. Materials Today: Proceedings, 56, pp. 2730-2734.
[16] Elusakin T., and Shafiee M., 2020. Reliability analysis of subsea blowout preventers with condition-based maintenance using stochastic petri nets. Journal of Loss Prevention in the Process Industries, 63, 104026.
[17] Jalal M.R., Abdulhamid M.F., Kang H.S., Kader A.S., Tamin M.N., and Lotovskyi E., 2020. Stochastic petri nets modeling for reliability, availability and maintainability study of a power generation plant. In Proc. of the 29th European Safety and Reliability Conference, ESREL 2019, pp. 2567-2574.
[18] Ramos A.G., and de Souza G.F.M., 2017. Availability assessment of an offshore gas treatment system using stochastic petri nets. In ISOPE International Ocean and Polar Engineering Conference, pp. ISOPE-I.
[19] Gurunathan T.,2021. Availability modeling and estimation of fluid catalytic cracking unit using generalized stochastic petri nets. International Journal of Quality & Reliability Management, 38(7), pp. 1628-1659.
[20] Bansal S.,2024. Behavioral analysis and maintenance decisions of wood industrial subsystem using stochastic petri nets simulation modeling. Reliability: Theory & Applications, 19(1(77)), pp. 663-674.