Reliability based framework for failure analysis in milk process industry




Dairy industry, fuzzy, JBLT, availability, failure analysis, maintenance schedule


The suggested hybridized framework offers a paradigm for performance optimization-reliability-based analysis of milk processing unit’s (MPU) failure behavior in the dairy industry. The proposed hybridized framework led to the development of fuzzy Jaya Based Lambda-Tau (JBLT) technique-based mathematical model for computing various performance parameters of the under-consideration unit. The availability of the system drops by 0.044% as the level of uncertainty or spread level increases from ± 15% to ± 25% and drops to 0.088% as the level of uncertainty increases from ± 25% to ± 60%. To corroborate the system’s availability downward trend, the results of JBLT approach were compared with Particle Swarm Optimization-Based Lambda-Tau (PSOBLT) and conventional Fuzzy Lambda-Tau (FLT) techniques. The analysis findings were given to the maintenance manager so they could create the best maintenance schedule for the considered plant.


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Chaube, S., Singh, S. B., Pant, S., & Kumar, A. (2018). Time-dependent conflicting bifuzzy set and its applications in reliability evaluation. Advanced Mathematical Techniques in Engineering Sciences, 111–128.

Đalić, I., Ateljević, J., Stević, Ž., & Terzić, S. (2020). An integrated swot – fuzzy piprecia model for analysis of competitiveness in order to improve logistics performances. Facta Universitatis, Series: Mechanical Engineering, 18(3), 439–451.

García-Burgos, M., Moreno-Fernández, J., Alférez, M. J. M., Díaz-Castro, J., & López-Aliaga, I. (2020). New perspectives in fermented dairy products and their health relevance. Journal of Functional Foods, 72.

Garg, H., & Rani, M. (2013). An approach for reliability analysis of industrial systems using PSO and IFS technique. ISA Transactions, 52(6), 701–710.

Garg, H., Rani, M., & Sharma, S. P. (2012). Fuzzy RAM analysis of the screening unit in a paper industry by utilizing uncertain data. International Journal of Quality, Statistics, and Reliability, 2012.

Garg, H., Rani, M., & Sharma, S. P. (2014). An approach for analyzing the reliability of industrial systems using soft-computing based technique. Expert Systems with Applications, 41(2), 489–501.

Garg, H., & Sharma, S. P. (2012). Behavior analysis of synthesis unit in fertilizer plant. International Journal of Quality and Reliability Management, 29(2), 217–232.

Gopal, N., & Panchal, D. (2021). A structured framework for reliability and risk evaluation in the milk process industry under fuzzy environment. Facta Universitatis, Series: Mechanical Engineering, 19(2), 307–333.

Gopal, N., & Panchal, D. (2022). A structured framework for performance optimization using JBLTO, FCOPRAS and FCODAS methodologies. Journal of Quality in Maintenance Engineering.

Gopal, N., & Panchal, D. (2023). Fuzzy decision support system for sustainable operational performance optimization for boiler unit in milk process industry. Applied Soft Computing, 109983.

Knezevic, J., & Odoom, E. R. (2001). Reliability modelling of repairable systems using Petri nets and fuzzy Lambda±Tau methodology. Reliability Engineering and System Safety, 73(1), 1–17.

Komal, & Sharma, S. P. (2014). Fuzzy reliability analysis of repairable industrial systems using soft-computing based hybridized techniques. Applied Soft Computing Journal, 24, 264–276.

Komal, Sharma, S. P., & Kumar, D. (2010). RAM analysis of repairable industrial systems utilizing uncertain data. Applied Soft Computing Journal, 10(4), 1208–1221.

Kumar, A., Garg, P., Pant, S., Ram, M., & Kumar, A. (2022). Multi-criteria decision-making techniques for complex decision making problems. Journal | MESA, 13(3), 791–803.

Kumar, A., Negi, G., Pant, S., Ram, M., & Dimri, S. C. (2021). Availability-Cost Optimization of Butter Oil Processing System by Using Nature Inspired Optimization Algorithms. 16(2), 188–200.

Kumar, A., Pant, S., Ram, M., & Yadav, O. (2022). Meta-heuristic Optimization Techniques. Meta-Heuristic Optimization Techniques: Applications in Engineering, 10.

Kumar, A., Vohra, M., Pant, S., & Singh, S. K. (2021). Optimization techniques for petroleum engineering: A brief review. International Journal of Modelling and Simulation, 41(5), 326–334.

Niksirat, M., & Nasseri, H. S. (2022). Knapsack problem in fuzzy nature: Different models based on credibility ranking method. Yugoslav Journal of Operations Research, 32(2), 203-218.

Panchal, D., & Kumar, D. (2014). Reliability analysis of CHU system of coal fired thermal power plant using fuzzy δ-τ Approach. Procedia Engineering, 97, 2323–2332.

Panchal, D., Singh, A. K., Chatterjee, P., Zavadskas, E. K., & Keshavarz-Ghorabaee, M. (2019). A new fuzzy methodology-based structured framework for RAM and risk analysis. Applied Soft Computing Journal, 74, 242–254.

Pant, S., Kumar, A., Bhan, S. B. S., & Ram, M. (2017). A modified particle swarm optimization algorithm for nonlinear optimization. Nonlinear Studies, 24(1), 127–138.

Pant, S., Kumar, A., Ram, M., Klochkov, Y., & Sharma, H. K. (2022). Consistency Indices in Analytic Hierarchy Process: A Review. Mathematics, 10(8).

Rao, R. (2016). Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. International Journal of Industrial Engineering Computations, 7(1), 19–34.

Rao, R. V., & Saroj, A. (2017). Economic optimization of shell-and-tube heat exchanger using Jaya algorithm with maintenance consideration. Applied Thermal Engineering, 116, 473–487.

Rawat, S. S., Pant, S., Kumar, A., Ram, M., Sharma, H. K., & Kumar, A. (2022). A State-of-the-Art Survey on Analytical Hierarchy Process Applications in Sustainable Development. International Journal of Mathematical, Engineering and Management Sciences, 7(6), 883–917.

Shakshi, S., Parihar, Y., Arora, P., Kharola, S., Kumar, A., Ram, M., & Kumar, A. (2022). Analyzing the fuzzy reliability of a skim milk powder production system using intuitionistic fuzzy number. Journal | MESA, 13(3), 607–616.

Sharma, R. K., Kumar, D., & Kumar, P. (2007). FM - A pragmatic tool to model, analyse and predict complex behaviour of industrial systems. Engineering Computations, 24(4), 319–346.

Sharma, S. P., Kumar, D., & Kumar, A. (2012). Behavior prediction of washing system in a paper industry using GA and fuzzy lambda-tau technique. Applied Mathematical Modelling, 36(6), 2614–2626.

Sharma, S. P., Sukavanam, N., Kumar, N., & Kumar, A. (2010). Reliability analysis of complex robotic system using Petri nets and fuzzy lambda-tau methodology. Engineering Computations (Swansea, Wales), 27(3), 354–364.

Singh, A., Ghadai, R. K., Kalita, K., Chatterjee, P., & Pamučar, D. (2020). EDM process parameter optimization for efficient machining of INCONEL-718. Facta Universitatis, Series: Mechanical Engineering, 18(3), 473–490.

Uniyal, N., Pant, S., Kumar, A., & Pant, P. (2022). Nature-inspired metaheuristic algorithms for optimization. Meta-Heuristic Optimization Techniques, 1–10.

Wang, L., Chu, J., & Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, 107(1), 151–163.

Wu, P., Gao, L., Zou, D., & Li, S. (2011). An improved particle swarm optimization algorithm for reliability problems. ISA Transactions, 50(1), 71–81.



How to Cite

Gopal, N. ., & Panchal, D. . (2023). Reliability based framework for failure analysis in milk process industry. Decision Making: Applications in Management and Engineering, 6(1), 631–645.