## Operations Research Study Materials

 Name of the Subject Operations Research Category Management Studies Useful for MBA and PG Diploma Courses Course Type Post Graduation Article on Study Materials 2020 Study Material Format PDF

## Chapters and Topics

INTRODUCTION TO OPERATION RESEARCH

• Operation Research: An Overview
• Review of Probability and Statistics

PROGRAMMING TECHNIQUES — LINEAR PROGRAMMING AND  APPLICATIONS

• Linear Programming– Graphical Method
• Linear Programming-Simplex Method
• Transportation Problem
• Assignment Problem

PROGRAMMING TECHNIQUES — FURTHER APPLICATIONS

• Goal Programming
• Integer Programming
• Dynamic Programming
• Non-Linear Programming

INVENTORY AND WAITING LINE MODELS

• Inventory Control – Deterministic Models
• Queueing Models
• Inventory Control-Probabilistic Models

GAME THEORY AND SIMULATION

Related Posts
• Corporative Situations: Game Theory
• Simulation

CASE STUDIES

• INSULATOR INDIA LIMITED
• USE OF OPERATIONS RESEARCH TECHNIQUES: A CASE STUDY OF ECS CORPORATION

## Unit wise PDFs

Here we have mentioned the unit wise PDFs of Operations Research subject. Click on the below link to download it :

## Subject in the Universities

This subject will be useful to the students of Business Administration students of Master’s Degree, PG Diploma candidates. The following university students can also download these materials :

• IGNOU
• Alagappa University
• Rai Technology University
• Pondicherry University

### Subject in the Semesters

Operations Research subject will be studied students in the following semesters of their respective courses :

• MBA II Sem
• B.Tech 7th Semester
• M.Com II Semester

## Important Questions

• Define Operations Research.
• Explain some of the techniques of O.R.
• Maximise : 4×1 + 5×2
• Subject to :
• 2×1 + 3×2 >= 12
• x1 + x2 <= 4
• 4×1 + 3×2 >= 18
• x1 > =0, x2 >=0
• What is goal programming? State clearly its assumptions.
• Identify the major differences between linear programming and goal programming.
• Explain the following terms :
• Deviational variables
• Differential weights
• Cardinal value and ordinal value

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