IJSTR

International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJSTR-QR Code

IJSTR >> Volume 3- Issue 9, September 2014 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Optimization Of A Soap Production Mix Using Response Surface Modeling: A Case Of Niger Bar Soap Manufacturing Industry Onitsha, Anambra State, Nigeria

[Full Text]

 

AUTHOR(S)

Okolie Chukwulozie Paul, Ezeliora Chukwuemeka Daniel, Iwenofu Chinwe Onyedika, Sinebe Jude Ebieladoh

 

KEYWORDS

Key word: Fatty matter in the oil, Oil, Production, Regression analysis, Response surface model, Salt and optimal point, Saponification, Silicate, Soap, Starch.

 

ABSTRACT

Abstract: This paper improves the productivity of Soap mix using Response Surface and presents the optimization of a soap production mix using the previous production data. The data were optimized using response surface modeling tool to observe the optimum production mix of the raw material. Response surface regression analysis was used to estimate the coefficients for Y using data in coded units were the coefficient of determination (R-sq) is 100%. The response surface optimization model shows that the optimum production mix quantity of the soap should be 364.999kg.

 

REFERENCES

[1] IUPAC. "IUPAC Gold Book – soap" Compendium of Chemical Terminology, 2nd ed. (the "Gold Book"). Compiled by A. D. McNaught and A. Wilkinson. Blackwell Scientific Publications, Oxford (1997). XML on-line corrected version: created by M. Nic, J. Jirat, B. Kosata; updates compiled by A. Jenkins. ISBN 0-9678550-9-8. doi:10.1351/goldbook. Accessed 2010-08-09

[2] Jump up to: a b Cavitch, Susan Miller. The Natural Soap Book. Storey Publishing, 1994 ISBN 0-88266-888-9.

[3] Thorsten Bartels et al. "Lubricants and Lubrication" in Ullmann's Encyclopedia of Industrial Chemistry, 2005, Weinheim. doi:10.1002/14356007.a15_423

[4] K. Schumann, K. Siekmann “Soaps” in Ullmann’s Encyclopedia of Industrial Chemistry 2005, Wiley-VCH, Weinheim

[5] Thorsten Bartels et al. "Lubricants and Lubrication" in Ullmann's Encyclopedia of Industrial Chemistry, 2005, Weinheim. doi:10.1002/14356007.a15 423

[6] McNeil, Ian (1990). An Encyclopaedia of the history of technology. Taylor & Francis. pp. 2003–205. ISBN 978-0-415-01306-2.

[7] "Colgate-Palmolive Company History: Creating Bright Smiles for 200 Years". Colgate-Palmolive Company. Retrieved 17 October 2012.

[8] Box, G.E.P. and Draper, N.R. (1987), Empirical model-building and response surfaces, New York: John Wiley & Sons.

[9] Giunta, A.A., Balabanov, V., Haim, D., Grossman, B., Mason, W.H., Watson, L.T.,Haftka, R.T. (1996), “Wing design for a high-speed civil transport using a design of experiments methodology”. AIAA paper 96-4001-CP, Proceedings of 6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue WA, Part 1, pp. 168-183.

[10] Van Campen, D.H., Nagtegaal, R. and Schoofs, A.J.G. (1990), “Approximation methods in structural optimization using experimental designs for multiple responses”, In: Eschenauer, H., Koski, J., Osyczka, A. (Ed.), Multicriteria Design Optimization, Springer-Verlag, Berlin, Heidelberg, New York, pp. 205-228.

[11] Toropov, V.V., van Keulen, F., Markine, V.L. and de Boer, H. (1996), “Refinements in the multi-point approximation method to reduce the effects of noisy responses”, 6th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis andOptimization, Bellevue WA, Part 2, pp. 941-951.

[12] Venter, G., Haftka, R.T. and Starnes, J.H. (1996), “Construction of response surfaces for design optimization applications”, AIAA paper 96-4040-CP, Proceedings of 6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization,Bellevue WA, Part 2, pp. 548-564.