Modeling For Optimization Of Product - Mix In Poultry Feeds Production Of ABJ Animals Feeds Company

References

[1] Akingbade, J. F. (2002). Operational research in theory and in practice: tools for rebirth and development of Nigeria. University of Lagos Inaugural Series 2002: University of Lagos Press.

[2] Arogundade, K. K & Adebiyi, S. O (2011). Operations and production management for management sciences, Vol. 2. Ado-Ekiti: PETOA Educational Publisher.

[3] Albright, S. Christian & Winston, Wayne L. (2009). Management science modeling, 3rd ed. South-Western.

[4] Anderson, Sweeney & Williams (2003). An introduction to management science – quantitative approaches to decisions making, 10th edition. Thomson-South Western, pp. 31-84.

[5] Byrd, J. & Moore, L.T. (1978). Application of a Product Mix LP Model in Corporate Policy Making. Management Science, 24(13), 1342-1350.

[6] Caine, D. J. & Parker; B. J. (1996). Linear programming comes of age: decision support tool for every manager. Management decision, Vol. 34, No.4, pp. 46-53.

[7] Chung, S. H., Lee, A. H. I., and Pearn, W. L. (2005). Product mix optimization for semiconductor manufacturing based on AHP and ANP Analysis. The Int. Journal of Advanced Manufacturing, Tech., 2511-12, pp. 1144-1156.

[8] Dantzig & Thapa (1997). Linear programming 1: introduction, springer series in operations research. New York, USA: Springer-Verlag.

[9] Dantzig, G. (1963). Linear programming & extensions. The Rand- Princeton U.S.A. Press.

[10] Hillier, F. S. & Lieberman, Gerald J. (2005). Operations Research; 7th edition. Americas, New York: McGraw-Hill.

[11] Lee, T and Plenert, G (1996). Maximizing product mix Profitability-What's the best analysis tool. Production Planning & Control, 7(6), 547-553.

[12] Johnson, H. & Montgomery, P. J (1994). Poultry: Freed and Nutrition, 2nd Edition. Connecticut: Avi Publishing, Westport, 417-458.

[13] Rodin, R. (2000). Optimization in Operations Research. New Jersey U.S.A.: Prentice Hall.

[14] Savsar, M. & Aldaihani, M. (2011). Optimum Product Mix Selection from Waste Oil: A Linear Programming Application. 6th International Advanced Technologies Symposium (IATS’11), 16-18 May 2011, Elazığ: Turkey.

[15] Sharma, J. K. (2008). Operations research; theory and applications, 3rd edition. India: Macmillan, Indian Ltd.

[16] Sulaimon O. A., Bilqis B. A., Ismail O. S. (2014), Linear Optimization Techniques for Product-Mix of Paints Production in Nigeria, Acta Universitatis Danubius. Œconomica, Vol 10, No 1, pp 1- 10.

[17] Winston, Wayne L. & Albright, S. Christian (1997). Practical Management Science. Spread sheet modeling. New York: Wadsworth Publishing Company.

@article{1701767,
      author = {Nwosu Moses C., Aguh Patrick S., EZEANYIM, OKECHUKWU C.},
      title = {Modeling For Optimization Of Product - Mix In Poultry Feeds Production Of ABJ Animals Feeds Company},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {4},
      number = {3},
      pages = {61-68},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/17017671.pdf},
      abstract = {The work done in this investigation is modeling to optimization product mix in industrial settings of resources allocation and utilization in poultry feed production. Most poultry feeds producers in Nigeria do not lend themselves to flexible production process which is important for them to manage the use of resources for effective optimal production. This research focuses on linear optimization for achieving product- mix optimization in terms of the product identification and the right quantity in feed brand production for better profit and optimum firm performance. The computational experiments in this research contains data and information on the units item costs, unit contribution margin, maximum resources capacity, individual products absorption rate and other constraints that are particular to each of the six products produced in the company employed as case study. In data analysis, linear programming model was employed with the aid of software to analyze the data. After solving the problem using MATLAB -LINPROG Optimization software, it was found out that the average monthly profit using the current production plan was less than that of the optimal production plan although the difference was not significant. Therefore the researcher recommended using the optimal production plan in order to maximize the company?s total profit in terms of peso value. The contributions of the study to the host company were: increase in profits; efficient and effective use of resources; and productivity improvement},
      keywords = {Optimization, Modeling, Poultry Feeds, Product - Mix, Linear programming.},
      month = {September},
  }