How to cite this paper
John, B. (2013). Application of desirability function for optimizing the performance characteristics of carbonitrided bushes.International Journal of Industrial Engineering Computations , 4(3), 305-314.
Refrences
Antony, J., Anand, R.B., Kumar, M., & Tiwari, M. K. (2006). Multiple response optimization using Taguchi methodology and neuro-fuzzy based model. Journal of Manufacturing Technology Management, 17(7), 908–925.
Baragetti, S., & Terranova, A. (2000). Non-dimensional analysis of shot peening by means of DoE, International Journal of Materials and Product Technology, 15(1/2),131-141.
Bhuiyan, N., Gouw, G., & Yazdi, D. (2011). Scheduling of a computer integrated manufacturing system: A simulation study. Journal of Industrial Engineering and Management, 4(4), 577-609.
Boby, J. (2012). Optimization of actuator performance using robust engineering and feature selection methodologies: A case study. International Journal of Productivity and Performance Management, 60(6), 642 – 652.
Chakravorty, R., Gauri, S.K., & Chakraborty, S. (2013). Optimization of multiple responses of ultrasonic machine (USM) process: A comparative study. International Journal of Industrial Engineering Computations, 4, 285 – 296.
Dal Re, V. (1999). Use of acoustic emission for defect detection in adhesively bonded cylindrical joints loaded in torsi?n. International Journal of Materials and Product Technology, 14(5/6), 456 – 466.
Del Castillo, E. and Montgomery, D.C. (1993). A nonlinear programming solution to the dual response problema. Journal of Quality Technology, 25(3), 199 - 204.
Derringer, G. (1994). A balancing act: Optimising product’s properties. Quality Progress, 27(6), 51-58.
Harrington, E. (1965). The desirability function. Industrial Quality Control, 21(10), 494 – 498.
Hsu, C.M. (2004). An integrated approach to enhance the optical performance of couplers based on neural networks, desirability functions and tabu search. International Journal of Production Economics, 92(3),241 – 251.
Hung-Chang, Liao. (2004). A data envelopment analysis method for optimising multi-response problems with censored data in the Taguchi method. Computers and Industrial Engineering, 46(4), 817-835.
John, B. (2012). Simultaneous optimization of multiple performance characteristics of carbonitrided pellets: a case study. International Journal of Advanced Manufacturing Technology, 61, 585–594.
Koksoy, O., & Yalcinoz, T. (2006). Mean square error criteria for multi-response process optimisation by a new genetic algorithm. Applied Mathematics and Computations, 175(2), 1657 – 1674.
Montgomery, D. C. (2001). Design and analysis of experiments, 5th edition. John Wiley & sons (Asia) Pte. Ltd.Murali Krishna, P., Ramanaiah, N., & Prasada Rao, K. (2013). Optimization of process parameters for friction welding of dissimilar aluminium alloys (AA2024-T6 and AA6351-T6) by using Taguchi method. International Journal of Industrial Engineering Computations, 4, 51 - 60.
Myers, R.H., & Carter, W.H. Jr. (1973). Response surface techniques for dual response systems. Technometrics, 15(2), 301 - 317.
Peace, G. S. (1993). Taguchi methods: A hands on approach. Addison-Wesley publishing company. USA.
Phadke, M. S. (1989). Quality Engineering using Robust Design. Prentice Hall, USA.Saha, A., & Mandal, N.K. (2013), Optimization of machining parameters of turning operations based on multi performance criteria. International Journal of Industrial Engineering Computations, 4, 51–60.
Su, C.T., & Tong, L.I. (1997). Multi-response robust design by principal component analysis. Total Quality Management, 8(6), 409 – 416.
Surm, H., Kessler, O., Hoffmann, F., & Mayr, P. (2005). Effect of machining and heating parameters on distortion of AISI 52100 steel bearing rings. International Journal of Materials and Product Technology, 24(1/2/3/4), 270 - 281
Taguchi, G., Yokoyama, Y., & Wu, Y. (1993). Taguchi methods: Design of experiments. Quality engineering series volume 4. Japanese standard association.Wang, X.Y., Wang, J., Xu, W.J., Wu, D.J. and Lei, M.K. (2008). A study of laser surface modification for GCr15 steel. International Journal of Materials and Product Technology, 31(1), 88 -96.
Baragetti, S., & Terranova, A. (2000). Non-dimensional analysis of shot peening by means of DoE, International Journal of Materials and Product Technology, 15(1/2),131-141.
Bhuiyan, N., Gouw, G., & Yazdi, D. (2011). Scheduling of a computer integrated manufacturing system: A simulation study. Journal of Industrial Engineering and Management, 4(4), 577-609.
Boby, J. (2012). Optimization of actuator performance using robust engineering and feature selection methodologies: A case study. International Journal of Productivity and Performance Management, 60(6), 642 – 652.
Chakravorty, R., Gauri, S.K., & Chakraborty, S. (2013). Optimization of multiple responses of ultrasonic machine (USM) process: A comparative study. International Journal of Industrial Engineering Computations, 4, 285 – 296.
Dal Re, V. (1999). Use of acoustic emission for defect detection in adhesively bonded cylindrical joints loaded in torsi?n. International Journal of Materials and Product Technology, 14(5/6), 456 – 466.
Del Castillo, E. and Montgomery, D.C. (1993). A nonlinear programming solution to the dual response problema. Journal of Quality Technology, 25(3), 199 - 204.
Derringer, G. (1994). A balancing act: Optimising product’s properties. Quality Progress, 27(6), 51-58.
Harrington, E. (1965). The desirability function. Industrial Quality Control, 21(10), 494 – 498.
Hsu, C.M. (2004). An integrated approach to enhance the optical performance of couplers based on neural networks, desirability functions and tabu search. International Journal of Production Economics, 92(3),241 – 251.
Hung-Chang, Liao. (2004). A data envelopment analysis method for optimising multi-response problems with censored data in the Taguchi method. Computers and Industrial Engineering, 46(4), 817-835.
John, B. (2012). Simultaneous optimization of multiple performance characteristics of carbonitrided pellets: a case study. International Journal of Advanced Manufacturing Technology, 61, 585–594.
Koksoy, O., & Yalcinoz, T. (2006). Mean square error criteria for multi-response process optimisation by a new genetic algorithm. Applied Mathematics and Computations, 175(2), 1657 – 1674.
Montgomery, D. C. (2001). Design and analysis of experiments, 5th edition. John Wiley & sons (Asia) Pte. Ltd.Murali Krishna, P., Ramanaiah, N., & Prasada Rao, K. (2013). Optimization of process parameters for friction welding of dissimilar aluminium alloys (AA2024-T6 and AA6351-T6) by using Taguchi method. International Journal of Industrial Engineering Computations, 4, 51 - 60.
Myers, R.H., & Carter, W.H. Jr. (1973). Response surface techniques for dual response systems. Technometrics, 15(2), 301 - 317.
Peace, G. S. (1993). Taguchi methods: A hands on approach. Addison-Wesley publishing company. USA.
Phadke, M. S. (1989). Quality Engineering using Robust Design. Prentice Hall, USA.Saha, A., & Mandal, N.K. (2013), Optimization of machining parameters of turning operations based on multi performance criteria. International Journal of Industrial Engineering Computations, 4, 51–60.
Su, C.T., & Tong, L.I. (1997). Multi-response robust design by principal component analysis. Total Quality Management, 8(6), 409 – 416.
Surm, H., Kessler, O., Hoffmann, F., & Mayr, P. (2005). Effect of machining and heating parameters on distortion of AISI 52100 steel bearing rings. International Journal of Materials and Product Technology, 24(1/2/3/4), 270 - 281
Taguchi, G., Yokoyama, Y., & Wu, Y. (1993). Taguchi methods: Design of experiments. Quality engineering series volume 4. Japanese standard association.Wang, X.Y., Wang, J., Xu, W.J., Wu, D.J. and Lei, M.K. (2008). A study of laser surface modification for GCr15 steel. International Journal of Materials and Product Technology, 31(1), 88 -96.