Objective function versus constraints in linear

Linear Programming Model in Operation Research study is usually mathematical form of model which in turn contains group of equations that represent objective function and constraints. The keywords in this post are Goal Function and Constraints, relating to Heizer & Provide (2008) Goal Function will be mathematical appearance expressed in linear coding designed to maximizes or minimizes some volume, for example revenue can maximized while the cost might be reduced. The objective function is also known as effectiveness function, it is the statistical expression from the objectives which can be cost of procedure or revenue on procedure (Kumar and Hira, 2008).

Constraints which known as limitations are statistical expressions from the limitations that are involved in rewarding the targets; they are brought on by scarce or limited solutions which may contain money, space, manpower, elements and so on. Heizer & Make (2008) defined constraints while restrictions which limit the extent where a manager can go after an objective The objective function is far more important than the constraints within a linear coding model underneath the circumstances when the controllable variables which is also known as the decision parameters forms difficulties components of the linear programming model.

Controllable factors are the parameters that are immediately under the power over the businesses analyst; their values will be determined by the perfect solution of the trouble. Using the share control or perhaps inventory for example, the controllable variables will be the order size and the period between the put orders (Kumar and Hira, 2008). Alternatively the restrictions are more crucial than the aim function in linear plan model when the models function depends generally on the unmanageable variables in the model. They may be variables which have been the function of the external environment and over which the procedures analyst does not have any control, this kind of variables will be known as express of character. Using the transportation system for instance, the every unit vehicles cost is referred to as uncontrollable variable because it is exposed to continuous, unceasing change. To conclude, it is very important to understand and analyses the situation carefully just before applying one linear encoding over the different in other to improve or boost current operations (Heizer & Render, 2008). Furthermore, it is difficult to predict or choose without examining several trials, the more reason it is important to define factors which symbolize the problemfrom the real world, after that based on the variable identify the most relevant method (Heizer & Render, 2008).

References:

Heizer, M. & Render, B. (2008) Operations Supervision and Guidelines of Operations Management. PowerPoint presentation, seventh Edition. Prentice Hall, Inc., Upper Saddle River, D. J. 07458 Kumar, G. P. and Hira G. S. (2008). Operations Exploration, Revised Model. Chand and Company Ltd., New Delhi.

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