文章基本信息

标题：Sensitivity Analysis of Linear Programming Optimization of a Manufacturing Business
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作者：Michael C. Agarana ; Omogbadegun Z.O ; Bishop S. 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2237&2238
页码：702-707
出版社：Newswood and International Association of Engineers
摘要：Approximations are usually made when Mathematical model is used to describe reality. A major challenge encountered by most business enterprises/ companies is how value change effect can be determined on optimal decisions. Linearity assumptions usually are significant approximations. Another important approximation comes because one cannot be sure of the data that one puts into the model. Knowledge of the relevant technology may be imprecise, forcing one to approximate values; moreover, information may change. In this paper the sensitivity analysis of the optimal solution of linear programming model of a business enterprise is investigated. Computer software – LINDO, was used to solve the resulting Linear programming model formed from a real-life business situation. The sensitivity analysis carried out on the optimal solutions obtained, show that an addition of a new type of plastic in the production line improved the optimal profit. A reduction in the time resources used in producing type B plastic reduced the optimal profit.
关键词：Hebron drinks; Simplex Method; Operations; Research; Optimization; Linear Programming; Production; Processes.