OPERATIONS RESEARCH
Meaning, Definition, Origin and Development of O.R.
Features of Operations Research
CONTENTS
Applications of Operations Research
Scientific Method in OR
Modelling in OR
Methodology of OR
Decision-Making and OR
Limitations of OR
MEANING AND DEFINITION
It is the new approach to systematic
and scientific study of the operations
of the system was called the
Operations Research or Operational
Research (abbreviated as O.R.)
Meaning
“O.R. is the application of scientific
methods, techniques and tools to
problems involving the operations of a
system so as to provide those in control
of the system with optimum solutions
to the problem.”
Definition
Origin & Development
8
7
6
2
3
4
9
1
5
RESEARCH ON MILITARY OPERATIONS
COMPLEX EXECUTIVE PROBLEMS
INDUSTRIALISATION
SUBJECT
O.R. SOCIETY OF INDIA
INDIAN STATISTICAL
INSTITUTE
REGIONAL RESEARCH
LABORATORY
MANAGEMENT OF
ORGANISATIONS
OPERATIONS
RESEARCH
BUSINESS AND INDUSTRY
In business and industry O.R has become increasingly
important.
During world war II this new management science (O.R)
came into existence as a result of research on military
opeartions.
By the end of world war II, the military teams were
seeking solutions to their complex executive type
problems.
In 1948, it had taken good hold in UK and in early 1950's
USA realized the importance of this new science n solving
their management problems.
In the 1950's O.R. achieved recognition as a subject for
study in the Universities.
Origin & Development
In business and industry O.R has become increasingly
important.
During world war II this new management science (O.R)
came into existence as a result of research on military
opeartions.
By the end of world war II, the military teams were
seeking solutions to their complex executive type
problems.
In 1948, it had taken good hold in UK and in early 1950's
USA realized the importance of this new science n
solving their management problems.
In the 1950's O.R. achieved recognition as a subject for
study in the Universities.
Origin & Development
Nature and Features of O.R.
Source to other new Sciences
The growth of O.R. can be considered as a
source to other new sciences.
Digital Computer
Use of a digital computer has become an
integral part of O.R.
Decision Making
O.R. is addressed to managerial decision making or problem solving
Scientific Approach
O.R. employs scientific methods for the purpose of
solving problems.
Inter-Disciplinary Team Approach
Managerial problems have economic,
physical,psychological, biological, sociological and
engineering aspects. This requires a blend of team
experts
Objective
O.R. attempts to locate the best or optimal
solution to the problem.
Judgement Phase
Identification of the real-life problem
Selection of an appropriate goal and model
Appropriate scale of measurement
Research Phase
formulation of
hypothesis and models
observations and data
collection
prediction of results
and generalization of
the results
analysis of the
available information
and verification of the
hypothesis
observations and
experimentation to
test the hypothesis
Action Phase
Making recommendations for
decision process
Influencing the
operation in which the
problem occured
Anyone in a position to
make a decision
Methodology of Operations Research
Formulating the problem
Acquire the input data
Validate the Model
Construct a Mathematical Model
Establish Control and
implement the results
O.R. Derive the Solution from
the model
Operations
Research
Applications of
Operations Research
Finance
Research &
Development.
Purchasing
Personnel
Production Marketing
Physical
Distribution
According to R.A.
Killian, “A decision, in its
simplest form, is a selection
of alternatives”.
Decision-Making is Based
on Rational Thinking
Decision-Making is
Always Related to Some
Problem or Conflict
It Involves the Evaluation
of Various Available
Alternatives
Decision-Making is Aimed
at Achieving
Organisational Goals
Decision-Making Involves
Commitment
Decision-Making is both a
Managerial Function and
an Organisational Process
Decision-Making is the
Core of Planning
Decision Starts Action
It is Basically a Human
Activity
It is a Process of
Selecting the Best from
the Alternatives
Decision - Making and its Characteristics
Steps in implementing a Decision
Operations Research and Decision Making
Managerial Control
Operational Control
Strategic Control
Better
Decision
Better
Systems
Better
Coordination
Better
Control
Advantages of Operations Research Study Approach in Decision Making
Traditional Techniques of Decision-Making
Probability
Theory
Game Theory
Network
Analysis
Queuing
Theory
Linear
Programming
Traditional Techniques of Decision-Making
Probability
Theory
Game Theory
Network
Analysis
Queuing
Theory
Linear
Programming
Modelling in Operations Research
Models, in general, cannot
represent every aspect of reality
because of innumerable and
changing characteristics of the real
life problems to be represented.
Instead, they are limited
approximations of the reality.
A model in O.R. is a simplified
representation of an operation or a
process in which only the basic
aspects or the most important
features of a typical problem under
investigation are considered.
Characteristics of a Good Model
A good model should be capable of taking into
account new formulations without having any
significant change
It should be simple and coherent
It should be open to parametric type of
treatment
Assumptions made in the model
should be as small as possible
It should not take much time in its
construction for any problem
Model Number of variables used should be less
1.Descriptive Models
2. Predictive Models
3. Normative Models
1. Deterministic Models
2. Probabilistic Models
Models by Function
Models by Nature of Environment
1. Iconic or Physical Models
2.Analogue Models
3.Mathematical or Symbolic Models
1. Specific Models
2.General Models
Models by Structure
Models by the extent of Generality
Models by Degree of abstraction
1.Language Models
2. Case Studies
Classification
of
Models
Limitations of Operations Research
Limitations
Expensive
Constructing complex O.R. model is often too expensive
Modification
When basic data subject to frequent changes modification of O.R. models is sometimes a costly affair
Simplification
Solution to problem when derived by simplifying assumptions have certain limitations
Authority
O.R. provides only tools to examine the results of altenative courses of action. Final
dcision is made by the management with its authority and judgement.
Review Questions
THANK YOU

INTRODUCTION TO OPERATIONS RESEARCH.pptx

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    Meaning, Definition, Originand Development of O.R. Features of Operations Research CONTENTS Applications of Operations Research Scientific Method in OR Modelling in OR Methodology of OR Decision-Making and OR Limitations of OR
  • 3.
    MEANING AND DEFINITION Itis the new approach to systematic and scientific study of the operations of the system was called the Operations Research or Operational Research (abbreviated as O.R.) Meaning “O.R. is the application of scientific methods, techniques and tools to problems involving the operations of a system so as to provide those in control of the system with optimum solutions to the problem.” Definition
  • 4.
    Origin & Development 8 7 6 2 3 4 9 1 5 RESEARCHON MILITARY OPERATIONS COMPLEX EXECUTIVE PROBLEMS INDUSTRIALISATION SUBJECT O.R. SOCIETY OF INDIA INDIAN STATISTICAL INSTITUTE REGIONAL RESEARCH LABORATORY MANAGEMENT OF ORGANISATIONS OPERATIONS RESEARCH BUSINESS AND INDUSTRY
  • 5.
    In business andindustry O.R has become increasingly important. During world war II this new management science (O.R) came into existence as a result of research on military opeartions. By the end of world war II, the military teams were seeking solutions to their complex executive type problems. In 1948, it had taken good hold in UK and in early 1950's USA realized the importance of this new science n solving their management problems. In the 1950's O.R. achieved recognition as a subject for study in the Universities. Origin & Development
  • 6.
    In business andindustry O.R has become increasingly important. During world war II this new management science (O.R) came into existence as a result of research on military opeartions. By the end of world war II, the military teams were seeking solutions to their complex executive type problems. In 1948, it had taken good hold in UK and in early 1950's USA realized the importance of this new science n solving their management problems. In the 1950's O.R. achieved recognition as a subject for study in the Universities. Origin & Development
  • 7.
    Nature and Featuresof O.R. Source to other new Sciences The growth of O.R. can be considered as a source to other new sciences. Digital Computer Use of a digital computer has become an integral part of O.R. Decision Making O.R. is addressed to managerial decision making or problem solving Scientific Approach O.R. employs scientific methods for the purpose of solving problems. Inter-Disciplinary Team Approach Managerial problems have economic, physical,psychological, biological, sociological and engineering aspects. This requires a blend of team experts Objective O.R. attempts to locate the best or optimal solution to the problem.
  • 8.
    Judgement Phase Identification ofthe real-life problem Selection of an appropriate goal and model Appropriate scale of measurement
  • 9.
    Research Phase formulation of hypothesisand models observations and data collection prediction of results and generalization of the results analysis of the available information and verification of the hypothesis observations and experimentation to test the hypothesis
  • 10.
    Action Phase Making recommendationsfor decision process Influencing the operation in which the problem occured Anyone in a position to make a decision
  • 11.
    Methodology of OperationsResearch Formulating the problem Acquire the input data Validate the Model Construct a Mathematical Model Establish Control and implement the results O.R. Derive the Solution from the model
  • 12.
    Operations Research Applications of Operations Research Finance Research& Development. Purchasing Personnel Production Marketing Physical Distribution
  • 13.
    According to R.A. Killian,“A decision, in its simplest form, is a selection of alternatives”. Decision-Making is Based on Rational Thinking Decision-Making is Always Related to Some Problem or Conflict It Involves the Evaluation of Various Available Alternatives Decision-Making is Aimed at Achieving Organisational Goals Decision-Making Involves Commitment Decision-Making is both a Managerial Function and an Organisational Process Decision-Making is the Core of Planning Decision Starts Action It is Basically a Human Activity It is a Process of Selecting the Best from the Alternatives Decision - Making and its Characteristics
  • 14.
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    Operations Research andDecision Making Managerial Control Operational Control Strategic Control
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    Traditional Techniques ofDecision-Making Probability Theory Game Theory Network Analysis Queuing Theory Linear Programming
  • 18.
    Traditional Techniques ofDecision-Making Probability Theory Game Theory Network Analysis Queuing Theory Linear Programming
  • 19.
    Modelling in OperationsResearch Models, in general, cannot represent every aspect of reality because of innumerable and changing characteristics of the real life problems to be represented. Instead, they are limited approximations of the reality. A model in O.R. is a simplified representation of an operation or a process in which only the basic aspects or the most important features of a typical problem under investigation are considered.
  • 20.
    Characteristics of aGood Model A good model should be capable of taking into account new formulations without having any significant change It should be simple and coherent It should be open to parametric type of treatment Assumptions made in the model should be as small as possible It should not take much time in its construction for any problem Model Number of variables used should be less
  • 21.
    1.Descriptive Models 2. PredictiveModels 3. Normative Models 1. Deterministic Models 2. Probabilistic Models Models by Function Models by Nature of Environment 1. Iconic or Physical Models 2.Analogue Models 3.Mathematical or Symbolic Models 1. Specific Models 2.General Models Models by Structure Models by the extent of Generality Models by Degree of abstraction 1.Language Models 2. Case Studies Classification of Models
  • 22.
    Limitations of OperationsResearch Limitations Expensive Constructing complex O.R. model is often too expensive Modification When basic data subject to frequent changes modification of O.R. models is sometimes a costly affair Simplification Solution to problem when derived by simplifying assumptions have certain limitations Authority O.R. provides only tools to examine the results of altenative courses of action. Final dcision is made by the management with its authority and judgement.
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