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173 BIBLIOGRAPHY 1) Alen, D.H., (1971). Linear programming models for plant operations planning. British chemical Engineering, vol. 16, pp. 685-691. 2) AlEnezi, G., Fawzi, N and Elkamel, A., (1999). “Development of regression model to control product yield and properties of the fluid catalytic cracking process”. Petroleum science and technology, vol. 17, pp. 535-552. 3) AlHajri, I., Elkamal, A., Albabri, T and Douglas, P.L, (2005). " A nonlinear programming model for refinery planning and optimization with rigorous process models and product quality specification”. International journal of oil, gas and coal technology, vol. 1, issue 3, pp.284-307. 4) Annual Bulletin, (2009). "Oil, gas and minerals statistics”. Published by Ministry of oil and minerals, republic of Yemen. 5) Annul Bulletin, (2008). “Oil, gas and minerals statistics”. Published by Minister of oil and minerals, republic of Yemen. 6) Antons, G.J., Aitani, A. M. And Parera, U. M., (1995)." Catalytic naphtha reforming: Science and technology”. First edition, Marcel Dekker, Inc., New York. U.S.A. 7) Aronofsky. J. S., Dutton, J.M. and Tayyabkhan, M.T., (1978)." Managerial planning with linear programming in process industry operations”. John Wiley and sons, Inc., New York. U.S.A. 8) Attra, H.D., Wise, W. B. and Black, W.M., (1961)." Application of optimization techniques for study field
Transcript
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BIBLIOGRAPHY

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pp. 685-691.

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of regression model to control product yield and properties of

the fluid catalytic cracking process”. Petroleum science and

technology, vol. 17, pp. 535-552.

3) AlHajri, I., Elkamal, A., Albabri, T and Douglas, P.L, (2005).

" A nonlinear programming model for refinery planning and

optimization with rigorous process models and product

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coal technology, vol. 1, issue 3, pp.284-307.

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Yemen.

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Catalytic naphtha reforming: Science and technology”. First

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Managerial planning with linear programming in process

industry operations”. John Wiley and sons, Inc., New York.

U.S.A.

8) Attra, H.D., Wise, W. B. and Black, W.M., (1961)."

Application of optimization techniques for study field

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