Presentation on Qt

8/3/2019 Presentation on Qt

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Submittedto:Ms.Surbhi

Submitted by:Sakshi ChakervartyandRicha tiwari

BBM Sem IIISec B


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Introduction

The term Operation Research refers to the

application of scientific analysis to thedecision making process.

For example: problems arising in militaryplanning,industrial management,economic

analysis and the formulation of public policy.


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Definition given by famous scholars

O.R. is a scientific method of providingexecutive departments with a quantitativebasis for decisions regarding the operationsunder their control.-Morse & Kimble

O.R. is the systematic application ofquantitative methods, techniques and tools tothe analysis of problems involving theoperation of systems.-Daellenback andGeorge


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Characteristics of O.R.

Inter-disciplinary team approach: Accordingto this characteristic O.R. is done by a teamof scientists drawn from various disciplinessuch asmathematics,statistics,economics,engineering,physics etc.

Use of models: In operation research,various models are constructed for solving aproblem.


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Systems approach: Operation research is a

system oriented. it is based on theobservation that in the organized systemsthe behavior of any part also effects the otherpart.

Helpful in locating the optimal solution: itattempts to locate the best or optimal solutionof the problem.


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Scientific method: O.R. employs scientific

methods for the purpose of solving complexproblems and achieving optimal results.

Based on optimization theory: O.R. tries tooptimize a well defined function subject to

given constraints.


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Techniques of O.R.

Linear programming

Game theory Waiting line or queuing theory

Simplex method

Inventory system Theory of probability

Decision theory


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Applications of O.R.

Invaluable in business

Invaluable in industries Essential in planning

Universal utility

In the transport sector In banks


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Limitations of O.R.

Practical operation: O.R. provides solution only whenall the elements related to a problem can be

quantified.

Costly operation: O.R. techniques are usually veryexpensive as they require services of specializedperson and computers.

Reliability of the proposed solution: Sometimes anon-linear relationship is changed to linear for fittingthe problem to L.P. pattern.


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The inherent limitations concerning

mathematical expression: O.R. techniquesare based on the use of mathematicalmodels, equations and similar otherexpressions.

Combining two or more objective function:The use of single objective function is oftenan insufficient basis for decision making.


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Internal resistance: The implementation of an

optimal decision may also face internalhindrances such as trade unions or individualmanagers etc.


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Presentation on Qt

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