'Objective Function vs Constraints in Linear Programming Essay\r'

'Linear Programming Model in procedure Research study is usually mathematical reference of model which contains set of equations that represent objective bunk and constraints. The keywords in this article atomic number 18 Objective social accountability and Constraints, according to Heizer & amp; Render (2008) Objective mold argon mathematical expression expressed in elongate programming designed to maximizes or minimizes most quantity, for example profit can maximized while the speak to might be reduced. The objective modus operandi is besides called effectiveness locomote, it is the mathematical expression of the objectives which whitethorn be cost of operation or profit on operation (Kumar and Hira, 2008). Constraints which is also know as restrictions be mathematical expressions of the limitations that are involved in fulfilling the objectives; they are caused by scarce or limited resources which may include money, space, manpower, materials and so on. Heizer & Render (2008) define constraints as restrictions which limit the extent to which a bus can pursue an objective The objective function is more important than the constraints in a running(a) programming model under the circumstances in which the controllable multivariates which is also called the decision variables forms the major components of the linear programming model. Controllable variables are the variables that are at a time under the control of the operations analyst; their determine are determined by the solution of the line. development the stock control or inventory as an example, the controllable variables are the order size and the legal separation between the placed orders (Kumar and Hira, 2008). On the early(a) playscript the constraints are more important than the objective function in linear program model when the models function depends largely on the uncontrollable variables of the model. They are variables that are the function of the external environme nt and over which the operations analyst has no control, such variables are cognize as state of nature. Using the transportation outline as an example, the per unit transportation cost is known as uncontrollable variable because it is subjected to continuous, unceasing change. In conclusion, it is imperative to understand and analyses the situation carefully onwards applying one linear programming over the other in other to improve or perfect current operations (Heizer & Render, 2008). Furthermore, it is difficult to cry or choose without examining several samples, the more spring why it is important to define variables which represent the problem from the real world, then based on the variable determine the most applicable method (Heizer & Render, 2008).\r\nReferences:\r\nHeizer, J. & Render, B. (2008) Operations Management and Principles of Operations Management. PowerPoint presentation, seventh Edition. Prentice Hall, Inc., Upper Saddle River, N.J. 07458 Kumar, G.P. and Hira D.S. (2008). Operations Research, revise Edition. Chand and Company Ltd., New Delhi.\r\n'