How to cite this paper
John, B. (2015). A dual response surface optimization methodology for achieving uniform coating thickness in powder coating process.International Journal of Industrial Engineering Computations , 6(4), 469-480.
Refrences
Alam, M. Z., Jamal, P., & Nadzir, M. M. (2008). Bioconversion of palm oil mill effluent for citric acid production: statistical optimization of fermentation media and time by central composite design. World Journal of Microbiology and Biotechnology, 24(7), 1177-1185.
Ames, A. E., Mattucci, N., Macdonald, S., Szonyi, G., & Hawkins, D. M. (1997). Quality loss functions for optimization across multiple response surfaces. Journal of Quality Technology, 29(3), 339-346.
Antony, J. (2000). Multi?response optimization in industrial experiments using Taguchi & apos; s quality loss function and principal component analysis. Quality and reliability engineering international, 16(1), 3-8.
Antony, J. (2001). Simultaneous optimization of multiple quality characteristics in manufacturing processes using Taguchi & apos; s quality loss function. The International Journal of Advanced Manufacturing Technology, 17(2), 134-138.
Barton, R. R. (2013). Response surface methodology. In Encyclopedia of Operations Research and Management Science, 1307-1313. Springer US.
Bashiri, M., & Moslemi, A. (2013). Simultaneous robust estimation of multi-response surfaces in the presence of outliers. Journal of Industrial Engineering International, 9(1), 1-12.
Ba?, D., & Boyac?, ?. H. (2007). Modeling and optimization I: Usability of response surface methodology. Journal of Food Engineering, 78(3), 836-845.
Bezerra, M. A., Santelli, R. E., Oliveira, E. P., Villar, L. S., & Escaleira, L. A. (2008). Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta, 76(5), 965-977.
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.
Box, G. E., & Draper, N. R. (1987). Empirical model-building and response surfaces. John Wiley & Sons.
Box, G. E., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society. Series B (Methodological), 13(1), 1-45.
Box, G.E. (2009). Statistics for Experiments: Design, Innovation and Discovery. Wiley Series in Probability and Statistics.
Brown, A.M. (2001). A step-by-step guide to non-linear regression analysis of experimental data using a Microsoft Excel spreadsheet. Computer Methods and Programs in Biomedicine, 65, 191 – 200.
Brown, A. M. (2006). A non-linear regression analysis program for describing electrophysiological data with multiple functions using Microsoft Excel. Computer Methods and Programs in Biomedicine, 82(1), 51-57.
Chan, W. M., & Ibrahim, R. N. (2004). Evaluating the quality level of a product with multiple quality characterisitcs. The International Journal of Advanced Manufacturing Technology, 24(9-10), 738-742.
Cho, Y. G., & Cho, K. T. (2008). A loss function approach to group preference aggregation in the AHP. Computers & Operations Research, 35(3), 884-892.
Chowdhury, K.K., John, Boby. (2003). Optimization of induction hardening operation using robust design. Journal of Quality Engineering Forum, 11, 70 – 76.
Copeland, K. A., & Nelson, P. R. (1996). Dual response optimization via direct function minimization. Journal of Quality Technology, 28(3), 331-336.
Dasgupta, P. K. (2008). Chromatographic peak resolution using Microsoft Excel Solver: The merit of time shifting input arrays. Journal of Chromatography A, 1213(1), 50-55.
Del Castillo, E., & Montgomery, D. (1993). A nonlinear programming solution to the dual response problem. Journal of Quality Technology, 25(3), 199 - 204.
Ding, R., Lin, D. K., & Wei, D. (2004). Dual-response surface optimization: a weighted MSE approach. Quality Engineering, 16(3), 377-385.
Fang, X., Jiang, S. D., Raut, K., & Qiu, J. W. (2006). Applications of Microsoft Excel Solver function in water resource engineering. Proceedings of the Texas ASCE Spring Conference, Beaumont, Texas, 19-22.
Fylstra, D., Lasdon, L., Watson, J., & Waren, A. (1998). Design and use of the Microsoft Excel Solver. Interfaces, 28(5), 29-55.
John, Boby. (2013). Application of desirability function for optimizing the performance characteristics of carbonitrided bushes. International Journal of Industrial Engineering Computations, 4(1), 305-315.
John, Boby. (2012). Simultaneous optimization of multiple performance characteristics of carbonitrided pellets: a case study. The International Journal of Advanced Manufacturing Technology, 61(5-8), 585-594.
Kethley, R. B., Waller, B. D., & Festervand, T. A. (2002). Improving customer service in the real estate industry: a property selection model using Taguchi loss functions. Total Quality Management, 13(6), 739-748.
Khuri, A. I., & Mukhopadhyay, S. (2010). Response surface methodology. Wiley Interdisciplinary Reviews: Computational Statistics, 2(2), 128-149.
Krishna, P., Ramanaiah, N., & Roa, K. (2013). Optimization of process parameters for friction Stir welding of dissimilar Aluminum alloys (AA2024-T6 and AA6351-T6) by using Taguchi method. International Journal of Industrial Engineering Computations, 4(1), 71-80.
Lasdon, L. S., Waren, A. D., Jain, A., & Ratner, M. (1978). Design and testing of a generalized reduced gradient code for nonlinear programming. ACM Transactions on Mathematical Software (TOMS), 4(1), 34-50.
Lasdon, L. S., & Waren, A. D. (1977). Generalized reduced gradient software for linearly and nonlinearly constrained problems. Graduate School of Business, University of Texas at Austin.
Liao, C. N., & Kao, H. P. (2010). Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming. Computers & Industrial Engineering, 58(4), 571-577.
Li, Y., Chen, C., Zhang, S., Ni, Y., & Huang, J. (2008). Electrical conductivity and electromagnetic interference shielding characteristics of multiwalled carbon nanotube filled polyacrylate composite films. Applied Surface Science, 254(18), 5766-5771.
Liberman, G., & Hiller, F.S. (2008). Introduction to Operations Research - Concepts and Cases. Tata McGraw Hill Publishing Company Ltd, India.
Lin, D. K., & Tu, W. (1995). Dual response surface optimization. Journal of Quality Technology, 27(1), 34-39.
Liyana-Pathirana, C., & Shahidi, F. (2005). Optimization of extraction of phenolic compounds from wheat using response surface methodology. Food chemistry, 93(1), 47-56.
Myers, R. H., & Anderson-Cook, C. M. (2009). Response surface methodology: process and product optimization using designed experiments. John Wiley & Sons.
Montgomery, D. C. (2012). Design and Analysis of Experiments. John Wiley & Sons.
Myers, R. H., & Carter, W. H. (1973). Response surface techniques for dual response systems. Technometrics, 15(2), 301-317.
Naderi, R., Attar, M. M., & Moayed, M. H. (2004). EIS examination of mill scale on mild steel with polyester–epoxy powder coating. Progress in Organic Coatings, 50(3), 162-165.
Noordin, M. Y., Venkatesh, V. C., Sharif, S., Elting, S., & Abdullah, A. (2004). Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel. Journal of Materials Processing Technology, 145(1), 46-58.
?ktem, H., Erzurumlu, T., & Kurtaran, H. (2005). Application of response surface methodology in the optimization of cutting conditions for surface roughness. Journal of Materials Processing Technology, 170(1), 11-16.
Phadke, M. S. (1995). Quality engineering using robust design. Prentice Hall PTR.
Pi, W. N., & Low, C. (2006). Supplier evaluation and selection via Taguchi loss functions and an AHP. The International Journal of Advanced Manufacturing Technology, 27(5-6), 625-630.
Saha, A., & Mandal, N. (2013). Optimization of machining parameters of turning operations based on multi performance criteria. International Journal of Industrial Engineering Computations, 4(1), 51-60.
Sahoo, A. (2014). Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel. International Journal of Industrial Engineering Computations, 5(2), 295-304.
Sahoo, A., Orra, K & Routra, B. (2013). Application of response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert. International Journal of Industrial Engineering Computations, 4(4), 469-478.
Sahoo, A & Sahoo, B. (2011). Surface roughness model and parametric optimization in finish turning using coated carbide insert: Response surface methodology and Taguchi approach. International Journal of Industrial Engineering Computations, 2(4), 819-830.
Souliman, M. I., Mamlouk, M. S., El-Basyouny, M. M., & Zapata, C. E. (2010). Calibration of the AASHTO MEPDG for flexible pavement for arizona conditions. Proceedings of the Transportation Research Board 89th Annual Meeting, Washington DC, No. 10-1817.
Surm, H., Kessler, O., Hoffmann, F., & Mayr, P. (2005). Effect of machining and heating parameters on distortion of AISI 53100 steel bearing rings. International Journal of Materials and Product Technology 24, 270 – 281.
Taguchi, G. (1986). Introduction to quality engineering: designing quality into products and processes. Kraus International Publications, USA.
Taha, H. A. (2007). Operations research: an introduction. Pearson/Prentice Hall.
Vining, G. G., & Myers, R. H. (1990). Combining Taguchi and response surface philosophies: a dual response approach. Journal of Quality Technology, 22(1), 38 – 45.
Wang, X. Y., Wang, J., Xu, W. J., & Wu, D. J. (2008). A study of laser surface modification for GCr15 steel. International Journal of Materials and Product Technology, 31(1), 88-96.
Wu, Z., Shamsuzzaman, M., & Pan, E. S. (2004). Optimization design of control charts based on Taguchi & apos; s loss function and random process shifts. International Journal of Production Research, 42(2), 379-390.
Ames, A. E., Mattucci, N., Macdonald, S., Szonyi, G., & Hawkins, D. M. (1997). Quality loss functions for optimization across multiple response surfaces. Journal of Quality Technology, 29(3), 339-346.
Antony, J. (2000). Multi?response optimization in industrial experiments using Taguchi & apos; s quality loss function and principal component analysis. Quality and reliability engineering international, 16(1), 3-8.
Antony, J. (2001). Simultaneous optimization of multiple quality characteristics in manufacturing processes using Taguchi & apos; s quality loss function. The International Journal of Advanced Manufacturing Technology, 17(2), 134-138.
Barton, R. R. (2013). Response surface methodology. In Encyclopedia of Operations Research and Management Science, 1307-1313. Springer US.
Bashiri, M., & Moslemi, A. (2013). Simultaneous robust estimation of multi-response surfaces in the presence of outliers. Journal of Industrial Engineering International, 9(1), 1-12.
Ba?, D., & Boyac?, ?. H. (2007). Modeling and optimization I: Usability of response surface methodology. Journal of Food Engineering, 78(3), 836-845.
Bezerra, M. A., Santelli, R. E., Oliveira, E. P., Villar, L. S., & Escaleira, L. A. (2008). Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta, 76(5), 965-977.
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.
Box, G. E., & Draper, N. R. (1987). Empirical model-building and response surfaces. John Wiley & Sons.
Box, G. E., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society. Series B (Methodological), 13(1), 1-45.
Box, G.E. (2009). Statistics for Experiments: Design, Innovation and Discovery. Wiley Series in Probability and Statistics.
Brown, A.M. (2001). A step-by-step guide to non-linear regression analysis of experimental data using a Microsoft Excel spreadsheet. Computer Methods and Programs in Biomedicine, 65, 191 – 200.
Brown, A. M. (2006). A non-linear regression analysis program for describing electrophysiological data with multiple functions using Microsoft Excel. Computer Methods and Programs in Biomedicine, 82(1), 51-57.
Chan, W. M., & Ibrahim, R. N. (2004). Evaluating the quality level of a product with multiple quality characterisitcs. The International Journal of Advanced Manufacturing Technology, 24(9-10), 738-742.
Cho, Y. G., & Cho, K. T. (2008). A loss function approach to group preference aggregation in the AHP. Computers & Operations Research, 35(3), 884-892.
Chowdhury, K.K., John, Boby. (2003). Optimization of induction hardening operation using robust design. Journal of Quality Engineering Forum, 11, 70 – 76.
Copeland, K. A., & Nelson, P. R. (1996). Dual response optimization via direct function minimization. Journal of Quality Technology, 28(3), 331-336.
Dasgupta, P. K. (2008). Chromatographic peak resolution using Microsoft Excel Solver: The merit of time shifting input arrays. Journal of Chromatography A, 1213(1), 50-55.
Del Castillo, E., & Montgomery, D. (1993). A nonlinear programming solution to the dual response problem. Journal of Quality Technology, 25(3), 199 - 204.
Ding, R., Lin, D. K., & Wei, D. (2004). Dual-response surface optimization: a weighted MSE approach. Quality Engineering, 16(3), 377-385.
Fang, X., Jiang, S. D., Raut, K., & Qiu, J. W. (2006). Applications of Microsoft Excel Solver function in water resource engineering. Proceedings of the Texas ASCE Spring Conference, Beaumont, Texas, 19-22.
Fylstra, D., Lasdon, L., Watson, J., & Waren, A. (1998). Design and use of the Microsoft Excel Solver. Interfaces, 28(5), 29-55.
John, Boby. (2013). Application of desirability function for optimizing the performance characteristics of carbonitrided bushes. International Journal of Industrial Engineering Computations, 4(1), 305-315.
John, Boby. (2012). Simultaneous optimization of multiple performance characteristics of carbonitrided pellets: a case study. The International Journal of Advanced Manufacturing Technology, 61(5-8), 585-594.
Kethley, R. B., Waller, B. D., & Festervand, T. A. (2002). Improving customer service in the real estate industry: a property selection model using Taguchi loss functions. Total Quality Management, 13(6), 739-748.
Khuri, A. I., & Mukhopadhyay, S. (2010). Response surface methodology. Wiley Interdisciplinary Reviews: Computational Statistics, 2(2), 128-149.
Krishna, P., Ramanaiah, N., & Roa, K. (2013). Optimization of process parameters for friction Stir welding of dissimilar Aluminum alloys (AA2024-T6 and AA6351-T6) by using Taguchi method. International Journal of Industrial Engineering Computations, 4(1), 71-80.
Lasdon, L. S., Waren, A. D., Jain, A., & Ratner, M. (1978). Design and testing of a generalized reduced gradient code for nonlinear programming. ACM Transactions on Mathematical Software (TOMS), 4(1), 34-50.
Lasdon, L. S., & Waren, A. D. (1977). Generalized reduced gradient software for linearly and nonlinearly constrained problems. Graduate School of Business, University of Texas at Austin.
Liao, C. N., & Kao, H. P. (2010). Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming. Computers & Industrial Engineering, 58(4), 571-577.
Li, Y., Chen, C., Zhang, S., Ni, Y., & Huang, J. (2008). Electrical conductivity and electromagnetic interference shielding characteristics of multiwalled carbon nanotube filled polyacrylate composite films. Applied Surface Science, 254(18), 5766-5771.
Liberman, G., & Hiller, F.S. (2008). Introduction to Operations Research - Concepts and Cases. Tata McGraw Hill Publishing Company Ltd, India.
Lin, D. K., & Tu, W. (1995). Dual response surface optimization. Journal of Quality Technology, 27(1), 34-39.
Liyana-Pathirana, C., & Shahidi, F. (2005). Optimization of extraction of phenolic compounds from wheat using response surface methodology. Food chemistry, 93(1), 47-56.
Myers, R. H., & Anderson-Cook, C. M. (2009). Response surface methodology: process and product optimization using designed experiments. John Wiley & Sons.
Montgomery, D. C. (2012). Design and Analysis of Experiments. John Wiley & Sons.
Myers, R. H., & Carter, W. H. (1973). Response surface techniques for dual response systems. Technometrics, 15(2), 301-317.
Naderi, R., Attar, M. M., & Moayed, M. H. (2004). EIS examination of mill scale on mild steel with polyester–epoxy powder coating. Progress in Organic Coatings, 50(3), 162-165.
Noordin, M. Y., Venkatesh, V. C., Sharif, S., Elting, S., & Abdullah, A. (2004). Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel. Journal of Materials Processing Technology, 145(1), 46-58.
?ktem, H., Erzurumlu, T., & Kurtaran, H. (2005). Application of response surface methodology in the optimization of cutting conditions for surface roughness. Journal of Materials Processing Technology, 170(1), 11-16.
Phadke, M. S. (1995). Quality engineering using robust design. Prentice Hall PTR.
Pi, W. N., & Low, C. (2006). Supplier evaluation and selection via Taguchi loss functions and an AHP. The International Journal of Advanced Manufacturing Technology, 27(5-6), 625-630.
Saha, A., & Mandal, N. (2013). Optimization of machining parameters of turning operations based on multi performance criteria. International Journal of Industrial Engineering Computations, 4(1), 51-60.
Sahoo, A. (2014). Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel. International Journal of Industrial Engineering Computations, 5(2), 295-304.
Sahoo, A., Orra, K & Routra, B. (2013). Application of response surface methodology on investigating flank wear in machining hardened steel using PVD TiN coated mixed ceramic insert. International Journal of Industrial Engineering Computations, 4(4), 469-478.
Sahoo, A & Sahoo, B. (2011). Surface roughness model and parametric optimization in finish turning using coated carbide insert: Response surface methodology and Taguchi approach. International Journal of Industrial Engineering Computations, 2(4), 819-830.
Souliman, M. I., Mamlouk, M. S., El-Basyouny, M. M., & Zapata, C. E. (2010). Calibration of the AASHTO MEPDG for flexible pavement for arizona conditions. Proceedings of the Transportation Research Board 89th Annual Meeting, Washington DC, No. 10-1817.
Surm, H., Kessler, O., Hoffmann, F., & Mayr, P. (2005). Effect of machining and heating parameters on distortion of AISI 53100 steel bearing rings. International Journal of Materials and Product Technology 24, 270 – 281.
Taguchi, G. (1986). Introduction to quality engineering: designing quality into products and processes. Kraus International Publications, USA.
Taha, H. A. (2007). Operations research: an introduction. Pearson/Prentice Hall.
Vining, G. G., & Myers, R. H. (1990). Combining Taguchi and response surface philosophies: a dual response approach. Journal of Quality Technology, 22(1), 38 – 45.
Wang, X. Y., Wang, J., Xu, W. J., & Wu, D. J. (2008). A study of laser surface modification for GCr15 steel. International Journal of Materials and Product Technology, 31(1), 88-96.
Wu, Z., Shamsuzzaman, M., & Pan, E. S. (2004). Optimization design of control charts based on Taguchi & apos; s loss function and random process shifts. International Journal of Production Research, 42(2), 379-390.