After completion of this course each student would be able to:
The Operations Research-II is a compulsory course and has been offered by the Department of Industrial Engineering and Management.
|
CLOs |
Descriptions |
Taxonomy Level |
PLO |
|
1 |
APPLY queuing theory to solve relevant problems in manufacturing and service industries. |
C3 |
2 |
|
2 |
USE game theory and forecasting models for solving industrial engineering problems. |
C3 |
2 |
|
3 |
CALCULATE economic life of equipment using replacement theory. |
C4 |
2 |
Practical/Lab Work
|
CLO |
Description |
Taxonomy Level |
PLO |
|
1 |
ADOPT general and specific safety guidelines during lab work. |
A3 |
6 |
|
2 |
PERFORM the different practical using operations research techniques. |
P4 |
5 |
|
3 |
CONDUCT open-ended lab work within the scope of operations research. |
P4 |
12 |
|
4 |
RESPOND to different situations related to subject and must express opinion regarding a problem. |
A2 |
4 |
Course Contents:
Queuing theory and its applications, queuing system, terminology used in queuing system, elements of queuing system, single channel queuing system, single channel Poisson arrivals with exponential service (Infinite Population Model), single channel Poisson arrivals with exponential service (Finite Population Model), multi-channel queuing system.
Replacement models and replacement policies, replacement of items that deteriorate, i.e., whose maintenance costs increase with time, replacement of items that fail suddenly, miscellaneous replacement problems.
Game theory and its terminology, applications of game theory, Types of games, methods used to solve game problems, , mixed strategies (2×2 games), mixed strategies (2 x n games or m x 2 games), mixed Strategies (3×3 games), summary of systematic method for solving two-person zero-sum games, n-person zero-sum games, game problems.
Introduction, importance of sales forecasting, forecasting for new products, short- term sales forecasting, long-term sales forecasting, sales forecasting methods techniques.
Introduction, types of simulation, phases of simulation process, Monte Carlo simulation, generation of random number, simulation models for queuing system
Note: Labs will be based on Theory
