How to cite this paper
Chakraborty, S & Das, P. (2018). A multivariate quality loss function approach for parametric optimization of non-traditional machining processes.Management Science Letters , 8(8), 873-884.
Refrences
Antony, J. (2001). Simultaneous optimisation of multiple quality characteristics in manufacturing process-es using Taguchi’s quality loss function. International Journal of Advanced Manufacturing Technolo-gy, 17(2), 134-138.
Artiles-León, N. (1996-97). A pragmatic approach to multi-response problems using loss functions. Quali-ty Engineering, 9(2), 213-220.
Bhuyan, B.K., & Yadava,V. (2014). Modelling and optimisation of travelling wire electro-chemical spark machining process. International Journal of Industrial and Systems Engineering, 18(2), 139-158.
Das Mohapatra, K., & Sahoo, S. K. (2014). Parametric optimization of wire EDM process for gear cutting. Journal of Basic and Applied Engineering Research, 1(3), 78-84.
Datta, S., & Mahapatra, S.S. (2010).Simultaneous optimization of correlated multiple surface quality char-acteristics of mild steel turned product. Intelligent Information Management, 2(1), 26-39.
Dave, H.K., Desai, K.P., & Raval, H.K. (2012). Optimisation of multiple response characteristics in orbital electro discharge machining of Inconel 718 using Taguchi’s loss function. International Journal of Manufacturing Technology and Management, 25(1-3), 78-94.
Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214-219.
Dhobe, S. D., Doloi, B., & Bhattacharyya, B. (2014). Optimisation of ECM process during machining of titanium using quality loss function. International Journal of Manufacturing Technology and Man-agement, 28(1-3), 19-38.
Gaitonde, V.N., & Karnik, S.R. (2012). Selection of optimal process parameters for minimizing burr size in drilling using Taguchi’s quality loss function approach. Journal of the Brazilian Society of Mechani-cal Science and Engineering, XXXIV(3), 238-245.
Hansda, S., & Banerjee, S. (2014). Multi characteristics optimization using Taguchi quality loss function with varying weightage of responses in drilling of GFRP composite. In: Proceedings of 5th Interna-tional & 26th All India Manufacturing Technology, Design and Research Conference, India, 1-6.
Jing, W., & Yongfan, L. (2017). A robustness generalized distance function approach for multiresponse robust optimization. Procedia Engineering, 174, 748-755.
Khuri, A.I., & Conlon, M. (1981).Simultaneous optimization of multiple responses represented by poly-nomial regression functions. Technometrics, 23(4), 363-375.
Koranne, J., Verma, M., & Khandelwal, A.K. (2014). Multi-objective optimization of turning process by using quality loss function. Journal of Harmonized Research in Engineering, 2(2), 259-265.
Kumar, V., & Kumari, N. (2012). Modeling and multiple performance optimization ofultrasonic micro-hole machining of PCD using fuzzy logic and Taguchi quality loss function.Advances in Materials Re-search, 1(2), 129-146.
Kumar, J. (2014). Investigations into the surface quality and micro-hardness in the ultrasonic machining of titanium (ASTM GRADE-1). Journal of the Brazilian Society of Mechanical Sciences and Engineer-ing, 36(4), 807-823.
Ma, Y., & Zhao, F. (2004). An improved multivariate loss function approach to optimization. Journal of Systems Science and Systems Engineering, 13(3), 318-325.
Majumder, A., Das, P.K., Majumder, A., & Debnath, M. (2014). An approach to optimize the EDM pro-cess parameters using desirability-based multi-objective PSO. Production & Manufacturing Research, 2(1), 228-240.
Mehrvar, A., Basti, A., Jamali, A. (2017). Optimization of electrochemical machining process parameters: Combining response surface methodology and differential evolution algorithm. Proceeding of the Insti-tution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 231(6), 1114-1126.
Padhy, J. P., Dewangan, S., & Biswas, C. K. (2014).Optimization of multi-objective optimization of ma-chining parameters of AJM using quality loss function. International Journal of Current Engineering and Technology, 3(2), 255-257.
Pandey, P.C., & Shan, H.S. (1980). Modern Machining Processes. Tata McGraw-Hill Publishing Com. Ltd., New Delhi, India.
Periyanan, P.R., Natarajan, U., & Yang, S.H. (2012).Multi-objective optimisation for the micro-end mill-ing process using Taguchi quality loss function. International Journal of Productivity and Quality Management, 10(4), 484-497.
Periyanan, P.R., & Natarajan, U. (2014).Optimization of multiple-quality characteristics in micro-WEDG process using Taguchi technique. International Journal of Quality & Reliability Management, 31(2), 205-219.
Rahul, Datta, S., Biswal, B.B., & Mahapatra, S.S. (2017). A novel satisfaction function and distance-based approach for machining performance optimization during electro-discharge machining on super alloy Inconel 718. Arabian Journal for Science and Engineering, 42(5), 1999-2020.
Sahoo, A.K., Mohanty, T. (2013). Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation. International Journal of Industrial En-gineering Computations, 4(3), 325-336.
Singh, H., & Kumar, P. (2006).Optimizing multi‐machining characteristics through Taguchi's approach and utility concept. Journal of Manufacturing Technology Management, 17(2), 255-274.
Singh, G.K., Yadava, V., & Kumar, R.(2012). Robust parameter design and multi-objective optimisation of electro-discharge diamond face grinding of HSS. International Journal of Machining and Machina-bility of Materials, 11(1), 1-19.
Sivaprakasam, P., Hariharan, P., & Gowri, S. (2013). Optimization of micro-WEDM process of aluminum matrix composite (A413-B4C): A response surface approach. Materials and Manufacturing Processes, 28(12), 1340-1347.
Taguchi, G., Chowdhury, S., & Wu, Y. (2004). Introduction to the Quality Loss Function. In Taguchi’s Quality Engineering Handbook, John Wiley & Sons, Inc., NJ, USA.
Târcolea, C., & Paris, A.S. (2011). Loss functions used in the quality theory. University Politehnica of Bu-charest Scientific Bulletin Series A, 73(1), 45-54.
Vining, G.G. (1998). A compromise approach to multiresponse optimization. Journal of Quality Technol-ogy, 30(4), 309-313.
Walia, R.S., Shan, H.S., & Kumar, P. (2006). Multi-response optimization of CFAAFM process through Taguchi method and utility concept. Materials and Manufacturing Processes, 21(8), 907-914.
Artiles-León, N. (1996-97). A pragmatic approach to multi-response problems using loss functions. Quali-ty Engineering, 9(2), 213-220.
Bhuyan, B.K., & Yadava,V. (2014). Modelling and optimisation of travelling wire electro-chemical spark machining process. International Journal of Industrial and Systems Engineering, 18(2), 139-158.
Das Mohapatra, K., & Sahoo, S. K. (2014). Parametric optimization of wire EDM process for gear cutting. Journal of Basic and Applied Engineering Research, 1(3), 78-84.
Datta, S., & Mahapatra, S.S. (2010).Simultaneous optimization of correlated multiple surface quality char-acteristics of mild steel turned product. Intelligent Information Management, 2(1), 26-39.
Dave, H.K., Desai, K.P., & Raval, H.K. (2012). Optimisation of multiple response characteristics in orbital electro discharge machining of Inconel 718 using Taguchi’s loss function. International Journal of Manufacturing Technology and Management, 25(1-3), 78-94.
Derringer, G., & Suich, R. (1980). Simultaneous optimization of several response variables. Journal of Quality Technology, 12(4), 214-219.
Dhobe, S. D., Doloi, B., & Bhattacharyya, B. (2014). Optimisation of ECM process during machining of titanium using quality loss function. International Journal of Manufacturing Technology and Man-agement, 28(1-3), 19-38.
Gaitonde, V.N., & Karnik, S.R. (2012). Selection of optimal process parameters for minimizing burr size in drilling using Taguchi’s quality loss function approach. Journal of the Brazilian Society of Mechani-cal Science and Engineering, XXXIV(3), 238-245.
Hansda, S., & Banerjee, S. (2014). Multi characteristics optimization using Taguchi quality loss function with varying weightage of responses in drilling of GFRP composite. In: Proceedings of 5th Interna-tional & 26th All India Manufacturing Technology, Design and Research Conference, India, 1-6.
Jing, W., & Yongfan, L. (2017). A robustness generalized distance function approach for multiresponse robust optimization. Procedia Engineering, 174, 748-755.
Khuri, A.I., & Conlon, M. (1981).Simultaneous optimization of multiple responses represented by poly-nomial regression functions. Technometrics, 23(4), 363-375.
Koranne, J., Verma, M., & Khandelwal, A.K. (2014). Multi-objective optimization of turning process by using quality loss function. Journal of Harmonized Research in Engineering, 2(2), 259-265.
Kumar, V., & Kumari, N. (2012). Modeling and multiple performance optimization ofultrasonic micro-hole machining of PCD using fuzzy logic and Taguchi quality loss function.Advances in Materials Re-search, 1(2), 129-146.
Kumar, J. (2014). Investigations into the surface quality and micro-hardness in the ultrasonic machining of titanium (ASTM GRADE-1). Journal of the Brazilian Society of Mechanical Sciences and Engineer-ing, 36(4), 807-823.
Ma, Y., & Zhao, F. (2004). An improved multivariate loss function approach to optimization. Journal of Systems Science and Systems Engineering, 13(3), 318-325.
Majumder, A., Das, P.K., Majumder, A., & Debnath, M. (2014). An approach to optimize the EDM pro-cess parameters using desirability-based multi-objective PSO. Production & Manufacturing Research, 2(1), 228-240.
Mehrvar, A., Basti, A., Jamali, A. (2017). Optimization of electrochemical machining process parameters: Combining response surface methodology and differential evolution algorithm. Proceeding of the Insti-tution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 231(6), 1114-1126.
Padhy, J. P., Dewangan, S., & Biswas, C. K. (2014).Optimization of multi-objective optimization of ma-chining parameters of AJM using quality loss function. International Journal of Current Engineering and Technology, 3(2), 255-257.
Pandey, P.C., & Shan, H.S. (1980). Modern Machining Processes. Tata McGraw-Hill Publishing Com. Ltd., New Delhi, India.
Periyanan, P.R., Natarajan, U., & Yang, S.H. (2012).Multi-objective optimisation for the micro-end mill-ing process using Taguchi quality loss function. International Journal of Productivity and Quality Management, 10(4), 484-497.
Periyanan, P.R., & Natarajan, U. (2014).Optimization of multiple-quality characteristics in micro-WEDG process using Taguchi technique. International Journal of Quality & Reliability Management, 31(2), 205-219.
Rahul, Datta, S., Biswal, B.B., & Mahapatra, S.S. (2017). A novel satisfaction function and distance-based approach for machining performance optimization during electro-discharge machining on super alloy Inconel 718. Arabian Journal for Science and Engineering, 42(5), 1999-2020.
Sahoo, A.K., Mohanty, T. (2013). Optimization of multiple performance characteristics in turning using Taguchi’s quality loss function: An experimental investigation. International Journal of Industrial En-gineering Computations, 4(3), 325-336.
Singh, H., & Kumar, P. (2006).Optimizing multi‐machining characteristics through Taguchi's approach and utility concept. Journal of Manufacturing Technology Management, 17(2), 255-274.
Singh, G.K., Yadava, V., & Kumar, R.(2012). Robust parameter design and multi-objective optimisation of electro-discharge diamond face grinding of HSS. International Journal of Machining and Machina-bility of Materials, 11(1), 1-19.
Sivaprakasam, P., Hariharan, P., & Gowri, S. (2013). Optimization of micro-WEDM process of aluminum matrix composite (A413-B4C): A response surface approach. Materials and Manufacturing Processes, 28(12), 1340-1347.
Taguchi, G., Chowdhury, S., & Wu, Y. (2004). Introduction to the Quality Loss Function. In Taguchi’s Quality Engineering Handbook, John Wiley & Sons, Inc., NJ, USA.
Târcolea, C., & Paris, A.S. (2011). Loss functions used in the quality theory. University Politehnica of Bu-charest Scientific Bulletin Series A, 73(1), 45-54.
Vining, G.G. (1998). A compromise approach to multiresponse optimization. Journal of Quality Technol-ogy, 30(4), 309-313.
Walia, R.S., Shan, H.S., & Kumar, P. (2006). Multi-response optimization of CFAAFM process through Taguchi method and utility concept. Materials and Manufacturing Processes, 21(8), 907-914.