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The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. In any area of human endeavour, whether it is a production system, business system or service system where an objective is to be optimized, the problem falls into the domain of operation research. To achieve this both the management and O.R scientist should play positive role A properly implemented solution obtained through application of O.R techniques results in improved working conditions and gains the management support. The distance between O.R scientist and management may create huddles thus the gap between one who provides a solution and the other who wants to utilize it must be eliminated. He has to sell the idea of utility of O.R not only to the workers but also to superiors.
Therefore the implementing authority has to resolve the behavioural issues.
In operation research though decision making is scientific but its implementation involves so many behavioural issues. The last phase of the operation research methodology is implementation of solutions obtained in the previous steps. He should also define those conditions under which the model will not work. Thus he should also specify the limits with in which the results obtained from using the model are valid. He should also point out weaknesses if any so that management will know what risks they are taking while employing the model to generate results. It may be pointed out that he should specify those conditions under which the solution can be utilized. The next phase for the operation researcher is to explain his findings to the management. The utility or validity of the solution can be verified by comparing the results obtained without applying the solution with the results obtained when it is used. Such an analyse is usually known as sensitivity analysis. The usefulness or utility of a model is checked by finding out how well it predicts the effect of these changes. But if properly formulated and correctly manipulated, it may be useful in providing/predicting the effect of changes in control variables on overall system effectiveness. Testing the Model and the Solution Derived from it:Īs has been pointed out earlier a model is never a perfect representation of reality. The required data collection consumes time to prepare if date collection errors are to be minimized 4. Operation researcher should not assume that once he has defined his objective and model, he has achieved his aim of solving the problem. The data collection can clearly effect the models output significantly. Such information may be available from the results of experiments or from hunches based on experience. No model will work appropriately if the data is not appropriate. Deriving Solution from the Model:Ī solution may be extracted from a model either by conducting experiments on it i.e., by simulation or by mathematical analysis. A model may also be modified if the management is not satisfied by its performance. The proposed model may be tested and modified in order to work under stated environmental constraints. Now the aim of operation researcher is to develop a model which enables him to forecast the effect of factors crucial to the solution of given problem. The operation researcher can now construct the model to show the relations and interrelations between a cause and effect or between an action and a reaction. Once the project is approved by the management, the next step is to construct a model for the system under study. Constructing a Model to Represent the System under Study: The operation researcher shall attend conferences, pay visits, send observation and perform research work thus succeeds in getting sufficient date to formulate the problems. (iv) The alternative courses of action and constraints out of the above four component, environment is most comprehensive as it provides a setting for the remaining three.