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How to cite this paper
APA: Kumar, R., Tewari, P & Khanduja, D. (2018). Parameters optimization of fabric finishing system of a textile industry using teaching–learning-based optimization algorithm. International Journal of Industrial Engineering Computations, 9(2), 221-234.
Chicago/Turabian: Kumar, R., Tewari, P & Khanduja, D. 2018. "Parameters optimization of fabric finishing system of a textile industry using teaching–learning-based optimization algorithm." International Journal of Industrial Engineering Computations 9, no. 2 (2018): 221-234.
AMA: Kumar, R., Tewari, P & Khanduja, D. Parameters optimization of fabric finishing system of a textile industry using teaching–learning-based optimization algorithm. International Journal of Industrial Engineering Computations. 2018;9(2):221-234.
References
Cafaro, G., Corsi, F., & Vacca, F. (1986). Multi state markov models and structural properties of the transition rate matrix. IEEE Transactions on Reliability, 35(2), 192-200.
Çekyay, B., & Özekici, S. (2015). Reliability, MTTF and steady-state availability analysis of systems with exponential lifetimes. Applied Mathematical Modelling, 39(1), 284-296.
Chung, W.K. (1987). Reliability analysis of repairable parallel system with standby involving human error and common-cause failures. Microelectronics Reliability, 27(2), 269-271.
Coit, D.W., & Smith, A.E. (1996). Reliability optimization of series parallel systems using genetic algorithm. IEEE Transactions on Reliability, 45(2), 254-260.
Fu, J.C. (1986). Reliability of large consecutive-K-out-of-N: F systems with k−1 step markov dependence. IEEE Transactions on Reliability, 35(5), 602–606.
Fu, J.C., & Hu, B. (1987). On reliability of large consecutive-K-out-of-N: F systems with k-1 step markov dependence. IEEE Transactions on Reliability, 36(1), 75-77.
Garg, D., Kumar, K., & Meenu (2010). Availability optimization for screw plant based on genetic algorithm. International Journal of Engineering Science and Technology, 2(4), 658-668.
Garg, H., & Sharma, S.P. (2012). Behavior analysis of synthesis unit in fertilizer plant. International Journal of Quality & Reliability Management, 29(2), 217 – 232.
Goyal, A., & Gupta, P. (2012). Performance evaluation of a multi-state repairable production system – a case study. International Journal of Performability Engineering, 8(3), 330-338.
Gupta, P., Lal, A.K., Sharma, R.K., & Singh, J. (2005). Numerical Analysis of reliability and availability of the serial processes in butter-oil processing plant. International Journal of Quality & Reliability Management, 22(3), 303 – 316.
Gupta, S., Tewari, P.C., & Sharma, A.K. (2009). Reliability and Availability analysis of ash handling unit of a steam thermal power plant. South African Journal of Industrial Engineering, 20(1), 147-158.
Gupta, P. (2011). Markov modeling and availability analysis of a chemical production system-a case study. Proceedings of the World Congress on Engineering, Vol. I, WCE -2011, July 6 - 8, 2011, London, U.K.
Khanduja, R., Tewari, P.C., & Chauhan, R.S. (2009). Performance analysis of screening unit in a paper plant using genetic algorithm. Journal of Industrial and Systems Engineering, 3(2), 140-151.
Khanduja, R., Tewari, P.C., Chauhan, R.S. & Kumar, D. (2010). Mathematical modeling and performance optimization for paper making system of a paper plant. Jordan Journal of Mechanical and Industrial Engineering, 4(4), 487-494.
Khanduja, R., Tewari, P. C., & Chauhan, R.S. (2012). Performance modeling and optimization for the stock preparation unit of a paper plant using genetic algorithm. International Journal of Quality Reliability and Management, 28(6), 688-703.
Khanduja, R., Tewari, P. C. & Gupta, M. (2012). Performance enhancement for crystallization unit of sugar plant using genetic algorithm technique. Journal of Industrial Engineering International, 28(6), 688-703.
Krishnanand, K. R., Panigrahi, B. K., Rout, P. K., & Mohapatra, A. (2011, December). Application of multi-objective teaching-learning-based algorithm to an economic load dispatch problem with incommensurable objectives. In International Conference on Swarm, Evolutionary, and Memetic Computing (pp. 697-705). Springer Berlin Heidelberg.
Kumar, D., Singh, I.P., & Singh, J. (1988). Reliability analysis of the feeding system in the paper industry. Microelectronics Reliability, 28(2), 213-215.
Kumar, D., Singh, J., & Pandey, P.C. (1989). Availability of a washing system in the paper industry. Microelectronics Reliability, 29(5), 775-778.
Kumar, D, Singh, J., & Pandey, P.C. (1990). Cost analysis of a multi-component screening system in the paper industry. Microelectronics Reliability, 30(3), 457-461.
Kumar, D., Singh, J., & Pandey, P.C. (1991). Behavioral analysis of a paper production system with different repair policies. Microelectronics Reliability, 31(1), 47-51.
Kumar, D., Singh, J., & Pandey, P.C. (1992). Availability of the crystallization system in the sugar industry under common-cause failure. IEEE Transactions on Reliability, 41(1), 85-91.
Kumar, R. (2014). Availability analysis of thermal power plant boiler air circulation system using Markov approach. Decision Science Letters, 3(1), 65-72.
Kumar, P., & Tewari, P. (2017). Performance analysis and optimization for CSDGB filling system of a beverage plant using particle swarm optimization. International Journal of Industrial Engineering Computations, 8(3), 303-314.
Lai, C. D., Xie, M., Poh, K. L., Dai, Y. S., & Yang, P. (2002). A model for availability analysis of distributed software/hardware systems. Information and Software Technology, 44(6), 343-350.
Levitin, G., Xing, L., Amari, S. V., & Dai, Y. (2013). Reliability of non-repairable phased-mission systems with propagated failures. Reliability Engineering & System Safety, 119, 218-228.
Modgil V., Sharma, S. K., & Singh, J. (2013). Performance modeling and availability analysis of shoe upper manufacturing unit. Int J Quality Reliability and Management, 30(8), 816-831.
Niknam, T., Fard, A.K. & Baziar, A. (2012). Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants. Energy, 42, 563–573.
Niknam, T., Azizipanah-Abarghooee, R., & Narimani, M. R. (2012). An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation. Applied Energy, 99, 455-470.
Niknam, T., Azizipanah-Abarghooee, R., & Narimani, M. R. (2012). A new multi objective optimization approach based on TLBO for location of automatic voltage regulators in distribution systems. Engineering Applications of Artificial Intelligence, 25(8), 1577-1588.
Niknam, T., Golestaneh, F., & Sadeghi, M. S. (2012). $\ theta $-Multiobjective Teaching–Learning-Based Optimization for Dynamic Economic Emission Dispatch. IEEE Systems Journal, 6(2), 341-352.
Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2011). Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Computer-Aided Design, 43(3), 303-315.
Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2012). Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems. Information Sciences, 183(1), 1-15.
Rao, R., & Patel, V. (2012). An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems. International Journal of Industrial Engineering Computations, 3(4), 535-560.
Venkata Rao, R., & Kalyankar, V. D. (2012). Parameter optimization of machining processes using a new optimization algorithm. Materials and Manufacturing Processes, 27(9), 978-985.
Rao, R.V., & Kalyankar, V.D. (2012). Multi-objective multi-parameter optimization of the industrial LBW process using a new optimization algorithm. In Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 226(6), 1018–1025.
Rao, R. V., & Kalyankar, V. D. (2013). Parameter optimization of modern machining processes using teaching–learning-based optimization algorithm. Engineering Applications of Artificial Intelligence, 26(1), 524-531.
Rao, R. V., & Patel, V. (2013). Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm. Applied Mathematical Modelling, 37(3), 1147-1162.
Rao, R. V., & Patel, V. (2013). Multi-objective optimization of two stage thermoelectric cooler using a modified teaching–learning-based optimization algorithm. Engineering Applications of Artificial Intelligence, 26(1), 430-445.
Sabouhi, H., Abbaspour, A., Fotuhi-Firuzabad, M., & Dehghanian, P. (2016). Reliability modeling and availability analysis of combined cycle power plants. International Journal of Electrical Power & Energy Systems, 79, 108-119.
Singh, J., & Mahajan, P. (1999). Reliability of utensils manufacturing plant-a case study. Opsearch, 36(3), 260-269.
Tewari, P.C., Kumar, D., & Mehta, N.P. (2003). Decision support system of refining system of sugar plant. Journal of Institution of Engineers (India), 84, 41-44.
Togan, V. (2012). Design of planar steel frames using teaching–learning based optimization. Engineering Structure, 34, 225–232.
Wang, K.H., Yen, T.C., & Fang, Y.C. (2012). Comparison of availability between two systems with warm standby units and different imperfect coverage. Quality Technology and Quantitative Management, 9(3), 256-282.
Çekyay, B., & Özekici, S. (2015). Reliability, MTTF and steady-state availability analysis of systems with exponential lifetimes. Applied Mathematical Modelling, 39(1), 284-296.
Chung, W.K. (1987). Reliability analysis of repairable parallel system with standby involving human error and common-cause failures. Microelectronics Reliability, 27(2), 269-271.
Coit, D.W., & Smith, A.E. (1996). Reliability optimization of series parallel systems using genetic algorithm. IEEE Transactions on Reliability, 45(2), 254-260.
Fu, J.C. (1986). Reliability of large consecutive-K-out-of-N: F systems with k−1 step markov dependence. IEEE Transactions on Reliability, 35(5), 602–606.
Fu, J.C., & Hu, B. (1987). On reliability of large consecutive-K-out-of-N: F systems with k-1 step markov dependence. IEEE Transactions on Reliability, 36(1), 75-77.
Garg, D., Kumar, K., & Meenu (2010). Availability optimization for screw plant based on genetic algorithm. International Journal of Engineering Science and Technology, 2(4), 658-668.
Garg, H., & Sharma, S.P. (2012). Behavior analysis of synthesis unit in fertilizer plant. International Journal of Quality & Reliability Management, 29(2), 217 – 232.
Goyal, A., & Gupta, P. (2012). Performance evaluation of a multi-state repairable production system – a case study. International Journal of Performability Engineering, 8(3), 330-338.
Gupta, P., Lal, A.K., Sharma, R.K., & Singh, J. (2005). Numerical Analysis of reliability and availability of the serial processes in butter-oil processing plant. International Journal of Quality & Reliability Management, 22(3), 303 – 316.
Gupta, S., Tewari, P.C., & Sharma, A.K. (2009). Reliability and Availability analysis of ash handling unit of a steam thermal power plant. South African Journal of Industrial Engineering, 20(1), 147-158.
Gupta, P. (2011). Markov modeling and availability analysis of a chemical production system-a case study. Proceedings of the World Congress on Engineering, Vol. I, WCE -2011, July 6 - 8, 2011, London, U.K.
Khanduja, R., Tewari, P.C., & Chauhan, R.S. (2009). Performance analysis of screening unit in a paper plant using genetic algorithm. Journal of Industrial and Systems Engineering, 3(2), 140-151.
Khanduja, R., Tewari, P.C., Chauhan, R.S. & Kumar, D. (2010). Mathematical modeling and performance optimization for paper making system of a paper plant. Jordan Journal of Mechanical and Industrial Engineering, 4(4), 487-494.
Khanduja, R., Tewari, P. C., & Chauhan, R.S. (2012). Performance modeling and optimization for the stock preparation unit of a paper plant using genetic algorithm. International Journal of Quality Reliability and Management, 28(6), 688-703.
Khanduja, R., Tewari, P. C. & Gupta, M. (2012). Performance enhancement for crystallization unit of sugar plant using genetic algorithm technique. Journal of Industrial Engineering International, 28(6), 688-703.
Krishnanand, K. R., Panigrahi, B. K., Rout, P. K., & Mohapatra, A. (2011, December). Application of multi-objective teaching-learning-based algorithm to an economic load dispatch problem with incommensurable objectives. In International Conference on Swarm, Evolutionary, and Memetic Computing (pp. 697-705). Springer Berlin Heidelberg.
Kumar, D., Singh, I.P., & Singh, J. (1988). Reliability analysis of the feeding system in the paper industry. Microelectronics Reliability, 28(2), 213-215.
Kumar, D., Singh, J., & Pandey, P.C. (1989). Availability of a washing system in the paper industry. Microelectronics Reliability, 29(5), 775-778.
Kumar, D, Singh, J., & Pandey, P.C. (1990). Cost analysis of a multi-component screening system in the paper industry. Microelectronics Reliability, 30(3), 457-461.
Kumar, D., Singh, J., & Pandey, P.C. (1991). Behavioral analysis of a paper production system with different repair policies. Microelectronics Reliability, 31(1), 47-51.
Kumar, D., Singh, J., & Pandey, P.C. (1992). Availability of the crystallization system in the sugar industry under common-cause failure. IEEE Transactions on Reliability, 41(1), 85-91.
Kumar, R. (2014). Availability analysis of thermal power plant boiler air circulation system using Markov approach. Decision Science Letters, 3(1), 65-72.
Kumar, P., & Tewari, P. (2017). Performance analysis and optimization for CSDGB filling system of a beverage plant using particle swarm optimization. International Journal of Industrial Engineering Computations, 8(3), 303-314.
Lai, C. D., Xie, M., Poh, K. L., Dai, Y. S., & Yang, P. (2002). A model for availability analysis of distributed software/hardware systems. Information and Software Technology, 44(6), 343-350.
Levitin, G., Xing, L., Amari, S. V., & Dai, Y. (2013). Reliability of non-repairable phased-mission systems with propagated failures. Reliability Engineering & System Safety, 119, 218-228.
Modgil V., Sharma, S. K., & Singh, J. (2013). Performance modeling and availability analysis of shoe upper manufacturing unit. Int J Quality Reliability and Management, 30(8), 816-831.
Niknam, T., Fard, A.K. & Baziar, A. (2012). Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants. Energy, 42, 563–573.
Niknam, T., Azizipanah-Abarghooee, R., & Narimani, M. R. (2012). An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation. Applied Energy, 99, 455-470.
Niknam, T., Azizipanah-Abarghooee, R., & Narimani, M. R. (2012). A new multi objective optimization approach based on TLBO for location of automatic voltage regulators in distribution systems. Engineering Applications of Artificial Intelligence, 25(8), 1577-1588.
Niknam, T., Golestaneh, F., & Sadeghi, M. S. (2012). $\ theta $-Multiobjective Teaching–Learning-Based Optimization for Dynamic Economic Emission Dispatch. IEEE Systems Journal, 6(2), 341-352.
Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2011). Teaching–learning-based optimization: a novel method for constrained mechanical design optimization problems. Computer-Aided Design, 43(3), 303-315.
Rao, R. V., Savsani, V. J., & Vakharia, D. P. (2012). Teaching–learning-based optimization: an optimization method for continuous non-linear large scale problems. Information Sciences, 183(1), 1-15.
Rao, R., & Patel, V. (2012). An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems. International Journal of Industrial Engineering Computations, 3(4), 535-560.
Venkata Rao, R., & Kalyankar, V. D. (2012). Parameter optimization of machining processes using a new optimization algorithm. Materials and Manufacturing Processes, 27(9), 978-985.
Rao, R.V., & Kalyankar, V.D. (2012). Multi-objective multi-parameter optimization of the industrial LBW process using a new optimization algorithm. In Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 226(6), 1018–1025.
Rao, R. V., & Kalyankar, V. D. (2013). Parameter optimization of modern machining processes using teaching–learning-based optimization algorithm. Engineering Applications of Artificial Intelligence, 26(1), 524-531.
Rao, R. V., & Patel, V. (2013). Multi-objective optimization of heat exchangers using a modified teaching-learning-based optimization algorithm. Applied Mathematical Modelling, 37(3), 1147-1162.
Rao, R. V., & Patel, V. (2013). Multi-objective optimization of two stage thermoelectric cooler using a modified teaching–learning-based optimization algorithm. Engineering Applications of Artificial Intelligence, 26(1), 430-445.
Sabouhi, H., Abbaspour, A., Fotuhi-Firuzabad, M., & Dehghanian, P. (2016). Reliability modeling and availability analysis of combined cycle power plants. International Journal of Electrical Power & Energy Systems, 79, 108-119.
Singh, J., & Mahajan, P. (1999). Reliability of utensils manufacturing plant-a case study. Opsearch, 36(3), 260-269.
Tewari, P.C., Kumar, D., & Mehta, N.P. (2003). Decision support system of refining system of sugar plant. Journal of Institution of Engineers (India), 84, 41-44.
Togan, V. (2012). Design of planar steel frames using teaching–learning based optimization. Engineering Structure, 34, 225–232.
Wang, K.H., Yen, T.C., & Fang, Y.C. (2012). Comparison of availability between two systems with warm standby units and different imperfect coverage. Quality Technology and Quantitative Management, 9(3), 256-282.