Implementation of Response Surface Methodology using in Small Brown Rice Peeling Machine: Part I
Implementation of response surface methodology (RSM) was employed to study the effects of two factor (rubber clearance and round per minute) in brown rice peeling machine of The optimal BROKENS yield (19.02, average of three repeats),.The optimized composition derived from RSM regression was analyzed using Regression analysis and Analysis of Variance (ANOVA). At a significant level α = 0.05, the values of Regression coefficient, R 2 (adj)were 97.35 % and standard deviation were 1.09513. The independent variables are initial rubber clearance, and round per minute parameters namely. The investigating responses are final rubber clearance, and round per minute (RPM). The restriction of the optimization is the designated.
[1] S. Bangphan, S. Lee, "Modeling Material Mixtures to Replace of Rice
Polishing Cylinder,"Proceeding of the Conference of Industrial
Engineering, IE NETWORK CONFERENCE, 17-19 December 2006.
[2] S. Bangphan, S. Lee and S. Jomjunyong, "Development of the
Alternative Composite Material for Rice Polishing Cylinder," APIEMS
& CIIE 2007.,Dec.2007, Proceeding 8th Conference. Industrial
Engineeris Taiwan, 2007,p.146.
[3] Oh, C.H. and S.H. Oh, "Effects of germinated brown rice extracts with
enhanced levels of GABA on cancer cell proliferation and apoptosis".
Journal of Medical Food, 7(1).2004.
[4] Garrow, J.S. et al., "Human Nutrition and Dietetics", Harcourt
Publishers, London,2000.
[5] Rogelio V. Cuyno, "The National Campaign to Combat Hidden Hunger
through Brown Rice Paper presented during Consultative Meeting on
Nutritional Aspect of Brown Rice", at Food & Nutrition Research
Institute, Manila Philippines,2003.
[6] Wood, Rebecca., "The Whole Foods Encyclopedia". New York, NY:
Prentice-Hall Press; 1988.
[7] Chen, H., Siebenmorgen, T.J., "Effect of rice thickness in degree of
milling and associated optical measurements". Cereal Chemistry 74,
821-825,1997.
[8] Chen, H., Siebenmorgen, T.J., Griffin, K., "Quality characteristics of
long-grain rice milled in two commercial systems". Cereal Chemistry
75, 560-565,1998.
[9] Kennedy, G., Burlingame, B., Nguyen, N., "Nutrient impact assessment
of rice in major rice-consuming countries". International Rice
Commission Newsletter 51, 33-41,2002.
[10] Itani, T., Tamaki, M., Arai, E., Horino, T., "Distribution of amylose,
nitrogen, and minerals in rice kernels with various characters". Journal
of Agricultural and Food Chemistry 50, 5326-5332,2002.
[11] Jianfen Liang et al., "Milling characteristics and distribution of phytic
acid and zinc in long-,medium- and short-grain rice" Journal of Cereal
Science 48 (2008) 83-91.
[12] Myers R. H., Montgomery D. C., Response Surface Methodology:
Process and Product Optimization using Designed Experiments. John
Wiley and Sons, New York, 1995
[13] Myers R.H., Montgomery D.C. (2002), Response Surface Methodology.
Wiley, New York.
[14] Box G.E.P., Wilson K.B. (1951), "On the experimental attainment of
optimum conditions ." Journal of the Royal Statistical Society, Series B,
13, 1-45
[15] Box G.E.P., Draper N.R. (1959), "A basis for the selection of a response
surface design."Journal of the American Statistical Association, 54,
622-654.
[16] Box G.E.P., Draper N.R. (1987), Empirical Model-Building and
Response Surfaces. Wiley, New York.
[17] Khuri A.I., Cornell J.A. (1987), Response Surfaces. Marcel Dekker,
New York.
[18] Hill W.J., Hunter W.G. (1966), "A review of response surface
methodology : a literature review." Technometrics, 8, 571-590.
[19] Myers R.H., Khuri A.I., Carter W.H. (1989), "Response surface
methodology : 1966-1988." Technometrics, 15, 301-317.
[20] Myers R.H., Montgomery D.C., Vining G.G., Borror C.M., Kowalski
S.M. (2004),"Response surface methodology : a retrospective and
literature survey." Journal of Quality Technology, 36, 53-77
[21] Edmondson R.N. (1991), "Agricultural response surface experiments
based on four- level factorial designs." Biometrics, 47, 1435-1448.
[22] 2006. Response surface methodology.
http://en.wikipedia.org/wiki/Response surface methodology (accessed
January 22, 2007).
[1] S. Bangphan, S. Lee, "Modeling Material Mixtures to Replace of Rice
Polishing Cylinder,"Proceeding of the Conference of Industrial
Engineering, IE NETWORK CONFERENCE, 17-19 December 2006.
[2] S. Bangphan, S. Lee and S. Jomjunyong, "Development of the
Alternative Composite Material for Rice Polishing Cylinder," APIEMS
& CIIE 2007.,Dec.2007, Proceeding 8th Conference. Industrial
Engineeris Taiwan, 2007,p.146.
[3] Oh, C.H. and S.H. Oh, "Effects of germinated brown rice extracts with
enhanced levels of GABA on cancer cell proliferation and apoptosis".
Journal of Medical Food, 7(1).2004.
[4] Garrow, J.S. et al., "Human Nutrition and Dietetics", Harcourt
Publishers, London,2000.
[5] Rogelio V. Cuyno, "The National Campaign to Combat Hidden Hunger
through Brown Rice Paper presented during Consultative Meeting on
Nutritional Aspect of Brown Rice", at Food & Nutrition Research
Institute, Manila Philippines,2003.
[6] Wood, Rebecca., "The Whole Foods Encyclopedia". New York, NY:
Prentice-Hall Press; 1988.
[7] Chen, H., Siebenmorgen, T.J., "Effect of rice thickness in degree of
milling and associated optical measurements". Cereal Chemistry 74,
821-825,1997.
[8] Chen, H., Siebenmorgen, T.J., Griffin, K., "Quality characteristics of
long-grain rice milled in two commercial systems". Cereal Chemistry
75, 560-565,1998.
[9] Kennedy, G., Burlingame, B., Nguyen, N., "Nutrient impact assessment
of rice in major rice-consuming countries". International Rice
Commission Newsletter 51, 33-41,2002.
[10] Itani, T., Tamaki, M., Arai, E., Horino, T., "Distribution of amylose,
nitrogen, and minerals in rice kernels with various characters". Journal
of Agricultural and Food Chemistry 50, 5326-5332,2002.
[11] Jianfen Liang et al., "Milling characteristics and distribution of phytic
acid and zinc in long-,medium- and short-grain rice" Journal of Cereal
Science 48 (2008) 83-91.
[12] Myers R. H., Montgomery D. C., Response Surface Methodology:
Process and Product Optimization using Designed Experiments. John
Wiley and Sons, New York, 1995
[13] Myers R.H., Montgomery D.C. (2002), Response Surface Methodology.
Wiley, New York.
[14] Box G.E.P., Wilson K.B. (1951), "On the experimental attainment of
optimum conditions ." Journal of the Royal Statistical Society, Series B,
13, 1-45
[15] Box G.E.P., Draper N.R. (1959), "A basis for the selection of a response
surface design."Journal of the American Statistical Association, 54,
622-654.
[16] Box G.E.P., Draper N.R. (1987), Empirical Model-Building and
Response Surfaces. Wiley, New York.
[17] Khuri A.I., Cornell J.A. (1987), Response Surfaces. Marcel Dekker,
New York.
[18] Hill W.J., Hunter W.G. (1966), "A review of response surface
methodology : a literature review." Technometrics, 8, 571-590.
[19] Myers R.H., Khuri A.I., Carter W.H. (1989), "Response surface
methodology : 1966-1988." Technometrics, 15, 301-317.
[20] Myers R.H., Montgomery D.C., Vining G.G., Borror C.M., Kowalski
S.M. (2004),"Response surface methodology : a retrospective and
literature survey." Journal of Quality Technology, 36, 53-77
[21] Edmondson R.N. (1991), "Agricultural response surface experiments
based on four- level factorial designs." Biometrics, 47, 1435-1448.
[22] 2006. Response surface methodology.
http://en.wikipedia.org/wiki/Response surface methodology (accessed
January 22, 2007).
@article{"International Journal of Biological, Life and Agricultural Sciences:62286", author = "S. Bangphan and P. Bangphan and T.Boonkang", title = "Implementation of Response Surface Methodology using in Small Brown Rice Peeling Machine: Part I", abstract = "Implementation of response surface methodology (RSM) was employed to study the effects of two factor (rubber clearance and round per minute) in brown rice peeling machine of The optimal BROKENS yield (19.02, average of three repeats),.The optimized composition derived from RSM regression was analyzed using Regression analysis and Analysis of Variance (ANOVA). At a significant level α = 0.05, the values of Regression coefficient, R 2 (adj)were 97.35 % and standard deviation were 1.09513. The independent variables are initial rubber clearance, and round per minute parameters namely. The investigating responses are final rubber clearance, and round per minute (RPM). The restriction of the optimization is the designated.
", keywords = "Brown rice, Response surface methodology(RSM),
Rubber clearance, Round per minute (RPM), Peeling machine.", volume = "7", number = "2", pages = "124-5", }
