Abstract
In this paper, the problem of animal feed formulation is addressed. A feed product is comprised of various kinds of raw ingredients. Traditionally, the least cost formulation (LCF) approach is used in the feed industry to determine the optimal blend of the feed ingredients based on nutritional requirements and raw material costs. LCF, however, does not consider the production cost. In practice, a wide variety of raw ingredients may require different levels of production load. For example, feed ingredients with high amount of fiber content may reduce the pelleting production rate, leading to high production cost. The main focus of this study is the development of a mathematical model to find an optimal blend of the feed ingredients with an objective to minimize the overall cost consisting of raw material cost, production cost, and opportunity cost. Multiple linear regression equations are used to estimate the production rate that depends on the fat and the fiber contents in the feed mix and the durability index of the feed pellet. The results indicated that the proposed method is more beneficial than traditional LCF and applicable to the feed industry.
Publisher
Trans Tech Publications, Ltd.
Reference7 articles.
1. J.R. Stokes, P.R. Tozer, Optimal feed mill blending, Rev. Agr. Econ. 28 (4) (2006) 543–552.
2. W.G.M.M. Rutten, J.W.M. Bertrand, Balancing stocks, flexible recipe costs and high service level requirements in a batch process industry: a study of a small scale model, Eur. J. Oper. Res. 110 (1998) 626–642.
3. G. Brigham, A classroom example of linear programming, Oper. Res. 7 (4) (1959) 524–533.
4. G.M. Mohr, The bulk constraint and computer formulations of least-cost feed mixes, Rev. Marketing Agr. Econ. 40 (1) (1972) 15–28.
5. S. Pathumnakul, M. Ittiphalin, K. Piewthongngam, S. Rujikietkumjorn, Should feed mills go beyond traditional least cost formulation?, Computers and Electronics in Agriculture. 75 (2011) 243–249.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献