Availability Analysis of Milling System in a Rice Milling Plant

Authors: P. C. Tewari, Parveen Kumar

Abstract:

The paper describes the availability analysis of milling system of a rice milling plant using probabilistic approach. The subsystems under study are special purpose machines. The availability analysis of the system is carried out to determine the effect of failure and repair rates of each subsystem on overall performance (i.e. steady state availability) of system concerned. Further, on the basis of effect of repair rates on the system availability, maintenance repair priorities have been suggested. The problem is formulated using Markov Birth-Death process taking exponential distribution for probable failures and repair rates. The first order differential equations associated with transition diagram are developed by using mnemonic rule. These equations are solved using normalizing conditions and recursive method to drive out the steady state availability expression of the system. The findings of the paper are presented and discussed with the plant personnel to adopt a suitable maintenance policy to increase the productivity of the rice milling plant.

Keywords: Markov process, milling system, availability modeling, rice milling plant.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1127166

References:

[1] Azaron, A., Perkgoz, C., Katagiri, H., Kato, K., and Sakawa, M. Multi-objective reliability optimization for dissimilar-unit cold-standby systems using a genetic algorithm. Journal of Computer Operation and Research. 2009. 3: p. 1562-1571.
[2] Balaguruswamy E (1984) Reliability Engineering, Tata McGraw Hill.
[3] Barabadi, A., Barabadi, J. and Markeset, T, Application of reliability models with covariates in spare part prediction and optimization – A Case Study. International Journal of Reliability Engineering System and Safety. 2014. 123: p. 1-7.
[4] Coit, D. W., Jin, T. and Wattanapongsakorn, N., System optimization considering component reliability estimation uncertainty: A multi-criteria approach, IEEE Transaction on Reliability. 2004. 53(3): p. 369-380.
[5] Cekyay, B. and Ozekici, S., Reliability, MTTF and steady-state availability analysis of systems with exponential lifetimes, Applied Mathematical Modeling, 2015. 39: p. 284–296.
[6] Doostparast, M., Mohammad, D. and Kolahan, F., A reliability based approach to optimize preventive maintenance scheduling for coherent system, International Journal of Reliability and System Safety. 2014.126: p. 198-206.
[7] Dhillon, B. S. and Singh, C., Engineering Reliability: New Techniques and Applications. John Willey and Sons, New York
[8] Gupta, P., Lal, A., Sharma, R. and Singh, J., Numerical analysis of reliability and availability of series process in butter oil processing plant, International Journal of Quality and Reliability Management. 2005. 22(3): p. 303-316.
[9] Garg, D., Singh, J. and Kumar, K., Performance analysis of a cattle feed plant, The IUP Journal of Science and Technology.2009. 5(2): p. 83-94.
[10] Garg, S., Singh, J. and Singh, D. V., Availability and maintenance scheduling of a repairable block-board manufacturing system, International Journal of Reliability and System Safety., 2010. 4(1): p.104-118.
[11] Garg, Harish and Sharma, S.P., Stochastic behavior analysis of complex repairable industrial systems utilizing uncertain data, ISA Transactions, 2012 .51: p. 752–762.
[12] Gowid, S., Dixon, R. and Ghani, S., Optimization of reliability and maintenance of liquefaction system on LNG terminal using Markov modeling, International Journal of Quality Reliability and Management, 2014. 31(3): p. 293-310.
[13] Harish, Garg and Monica, Rani., An approach for reliability analysis of industrial systems using PSO an IFS technique. ISA Transaction, 2013. 52: p. 701-710.
[14] Hou Y., Sallak, M. and Schon, W., Availability analysis of systems using random set theory, IFAC-Papers Online. 2015. 48: p. 1315–1320.
[15] Kajal, S., Tewari, P. C. and Kaushik, D., Decision support system for butter oil system of a dairy plant at NDRI, The IUP Journal of Science and Technology. 2010. 6(1): p. 63-71.
[16] Kajal, S., Tewari, P. C. and Saini, P., Availability optimization for coal handling system using genetic algorithm, International Journal of Performability Engineering, 2013l. 9(1): p.109-116.
[17] Khanduja, R., Tewari, P. C. and Chauhan, R., S., Performance modeling and optimization for the stock preparation unit of a paper plant using genetic algorithm, International Journal of Quality Reliability and Management. 2012. 28(6): p. 688- 703.
[18] Khanduja, R., Tewari, P. C. and Mahesh, Gupta, Performance enhancement for crystallization unit of sugar plant using genetic algorithm technique, Journal of Industrial Engineering International, 2012. 28(60): p. 688-703.
[19] Kumar, S., Tewari, P. C. and Kumar, S., Performance evaluation and availability analysis of ammonia synthesis unit in a fertilizer plant, Journal of Industrial Engineering International. 2009. 5(9): p.17-26.
[20] Kumar, S., Tewari, P. C. and Sharma, R., Simulated availability of co2 cooling system in a fertilizer plant, Industrial Engineering Journal. 2007. 36(10): p.19-23.
[21] Kumar, S. and Tewari, P. C., Mathematical modeling and performance optimization of co2 cooling system of a fertilizer plant, International Journal of Industrial Engineering Computation. 2011.2(3): p. 689-698.
[22] Modgil V., Sharma, S. K. and Singh J., Performance modeling and availability analysis of shoe upper manufacturing unit, International Journal of Quality Reliability and Management. 2013. 30(8): p. 816-831.
[23] Sachdeva, A., Kumar, D. and Kumar, P., Planning and optimizing the maintenance of paper production systems in a paper plant, Computer and Industrial Engineering. 2008. 55: p.817–829.
[24] Sabouhi, H., Abbaspour A., Firuzabad, M. and Dehghanian, P., Reliability modeling and availability analysis of combined cycle power plants, Electrical Power and Energy Systems. 2016. 79: p.108–119.
[25] Shahrzad, F. R., Xie, M., Kien, M.N. and Richard, C.M.Y., Dynamic availability assessment and optimal component design of multi-state weighted k-out-of-n system, International Journal of Reliability and System Safety. 2014. 123(3): p. 57-62.
[26] Ying-Shen, J., Shui-Shun, L. and Hsing-Perk, K., A knowledge management system for series-parallel availability optimization and design, Journal of Expert System and Applications. 2008. 34: p. 181-193.
[27] Vora, Y., Patel, M.B., and Tewari, P.C., Simulation model for stochastic analysis and performance evaluation of steam generator system of a thermal power plant, International Journal of Engineering Science and Technology. 2011. 3(6): p. 5141-5149.
[28] Zhang, H., Innal, F., Dufour, F. and Dutuit, Y., Piecewise deterministic markov processes based approach applied to an offshore oil production system, International Journal of Reliability and System safety.2014. 126(3): p. 126-134.