Reliability based framework for failure analysis in milk process industry
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.
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. https://doi.org/10.1201/B22440-6
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. https://doi.org/10.22190/FUME200325029D
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. https://doi.org/10.1016/j.jff.2020.104059
Garg, H., & Rani, M. (2013). An approach for reliability analysis of industrial systems using PSO and IFS technique. ISA Transactions, 52(6), 701–710. https://doi.org/10.1016/j.isatra.2013.06.010
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. https://doi.org/10.1155/2012/203842
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. https://doi.org/10.1016/j.eswa.2013.07.075
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. https://doi.org/10.1108/02656711211199928
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. https://doi.org/10.22190/FUME201123004G
Gopal, N., & Panchal, D. (2022). A structured framework for performance optimization using JBLTO, FCOPRAS and FCODAS methodologies. Journal of Quality in Maintenance Engineering. https://doi.org/10.1108/JQME-11-2021-0087
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. https://doi.org/10.1016/j.asoc.2023.109983
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. www.elsevier.com/locate/ress
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. https://doi.org/10.1016/j.asoc.2014.06.054
Komal, Sharma, S. P., & Kumar, D. (2010). RAM analysis of repairable industrial systems utilizing uncertain data. Applied Soft Computing Journal, 10(4), 1208–1221. https://doi.org/10.1016/j.asoc.2009.12.019
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. https://doi.org/10.1515/9783110716214/HTML
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. https://doi.org/10.1080/02286203.2021.1983074
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. https://doi.org/10.1016/j.proeng.2014.12.330
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. https://doi.org/10.1016/j.asoc.2018.10.033
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. http://nonlinearstudies.com/index.php/nonlinear/article/view/1469
Pant, S., Kumar, A., Ram, M., Klochkov, Y., & Sharma, H. K. (2022). Consistency Indices in Analytic Hierarchy Process: A Review. Mathematics, 10(8). https://doi.org/10.3390/MATH10081206
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. https://doi.org/10.5267/j.ijiec.2015.8.004
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. https://doi.org/10.1016/j.applthermaleng.2017.01.071
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. http://www.nonlinearstudies.com/index.php/mesa/article/view/2977
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. https://doi.org/10.1108/02644400710748670
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. https://doi.org/10.1016/j.apm.2011.09.044
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. https://doi.org/10.1108/02644401011029925
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. https://doi.org/10.22190/FUME200406035S
Uniyal, N., Pant, S., Kumar, A., & Pant, P. (2022). Nature-inspired metaheuristic algorithms for optimization. Meta-Heuristic Optimization Techniques, 1–10. https://doi.org/10.1515/9783110716214-001/HTML
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. https://doi.org/10.1016/j.ijpe.2006.08.005
Wu, P., Gao, L., Zou, D., & Li, S. (2011). An improved particle swarm optimization algorithm for reliability problems. ISA Transactions, 50(1), 71–81. https://doi.org/10.1016/j.isatra.2010.08.005