1 Techniques Of Decision-making

VARIOUS TECHNIQUES OF DECISION-MAKING Presented By:Abrar Ahmad Ansari MBA, IInd Sem.

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QUALITATIVE TECHNIQUE  DELPHI TECHNIQUE  BRAINSTORMING TECHNIQUE  SWOT ANALYSIS

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QUANTITATIVE TECHNIQUE

PROBABILITY LINEAR PROGRAMMING

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DELPHI TECHNIQUE  This technique developed by OLAF HELMER

and his colleagues at RAND Corporation, has a degree of scientific respectability and acceptance.  A panel of expert on a particular problem area is

selected, usually from both inside and outside the organization.

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DELPHI TECHNIQUE  The expert are asked to make (Secretly, so that

they will not influenced by others) a forecast as to what they think will happen, and when, in various areas of new discoveries or development.

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DELPHI TECHNIQUE PROBLEM PRESENTED

QUESTIONNAIRE COMPLETED

RESULT COMPILED, DISTRIBUTED

SECOND & SUBSEQUENT QUESTIONNAIRE COMPLETED

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BRAINSTORMING TECHNIQUE  Alex F Osborn is called farther of

Brainstorming.  In the brainstorming session, a multiplication of ideas is sought.  The purpose of this approach is to improve problem solving by finding new and unusual solution.  The rules of brainstorming arte follows By A3

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BRAINSTORMING TECHNIQUE  No ideas are ever criticized.  The more radical (far-reaching); the ideas are,

the better.  The quantity of idea production is stressed.  The improvement of ideas by others is

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SWOT ANALYSIS  This is a technique which help decision

making by analyzing organization’s internal strength and weaknesses and external opportunities and threats.

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PROBABILITY  A probability is a numerical statement about the

likehood that an event will occur.  The probability, P, of any event or state of occurring is

greater than or equal to 0 and less than or equal to 1.  The probability of 0 indicates that an event is never

expected to occur.  A probability of 1 means that an event is always

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LINEAR PROGRAMMING 

It was conceptually developed before World War II by Soviet Mathematician A.N.Kolmogorov.

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A mathematical model for optimal solution of resource allocation problems.

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A branch of mathematics that uses linear inequalities to solve decision-making problems involving maximums and minimums.

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LINEAR PROGRAMMING Assumptions Of Linear Programming  Certainty  Proportionality  Divisibility  Nonnegative Variable

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References  Books:

 Management, A Global Perspective,  Management And Behavioral Process,  Quantitative Analysis For Management  Authors:

Heinz Weihrich, Harold Koontz. Shridhar Bhatt. Barry Render, Ralph M.Stair,JR., Michael E. Hanna Thank you

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