Operation Research-Practical

Paper Code:

24DFSG512B

Credits:

Contact Hours:

30.00

Max. Marks:

100.00

Objective:

This course will empower students through hands-on engagement with real-world applications of operations research models, including linear programming, game theory, transportation, assignment, and decision-making under risk and uncertainty, fostering practical problem-solving skills.

Course Outcomes:

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course Code

Course

Title

24DFSG 512B

Operation Research-Practical

(Practical)

CO175: Evaluate decision-making in business using quantitative approaches and recognize limitations of operations research.

CO176: Apply Linear Programming for optimal resource allocation in constrained business scenarios..

CO177: Apply the knowledge of game theory and theory of queuing in analyzing the real business problems through them.

CO178: Apply the knowledge of prudent and cost-effective decision making through transportation and assignment problems.

CO179: Acquire skills relating to the maximin, minimax, maximax and decision tree analysis

CO180: Contribute effectively in course-specific interaction

Approach in teaching:

Intractive Lectures, Practical cases Power point presentation.

Learning activities for the students: Seminar presentation, Live practical problems analysis

CA test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation.

6.00

Unit I:

Models in Operations Research

• Discussion and Preparation/Presentation of Chart/Case studies related to models in operations research

6.00

Unit II:

Linear programming

• Case studies/ Numerical problems related to Linear programming.

6.00

Unit III:

Game Theory

• Presentations/Case studies/ Numerical problems related to Game Theory.
• Charts based on different queuing model.

6.00

Unit IV:

Transportation

• Case studies/ Numerical problems related to application of Transportation.

6.00

Unit V:

Assignment and Decision making under Risk and Uncertainty

• Case studies/ Problems related to the practical applicability of Assignment in business.
• Case studies/ Numerical problems/ issues of decision making under Risk and uncertainty

Essential Readings:

• Kapoor, V. K., Operational Research, Sultan Chand & Sons, New Delhi
• Mathur, Khandelwal, Gupta, Gupta, Operational Research, Ajmera Book Company, Jaipur
• Agarwal, N.P., and Agarwal, Sonia, Quantitative Techniques For Management, Ramesh Book Depot, Jaipur

References:

Suggested Readings:
• Vohra, N. D., Quantitative Techniques In Management, Tata McGraw Hill, New Delhi
• Taha, Hamady A. , Operational Research An Introduction, Prentice Hall of India, New Delhi
• Nag, N. K., Quantitative Methods, Kalyani Publishers, Jaipur

E-Content:
• http://www.universalteacherpublications.com/univ/ebooks/or/index1.htm
• https://www.academia.edu/
• https://www.slideshare.net/

Reference Journals:
• https://www.ajol.info/index.php/afst/index
• https://www.amu.ac.in/miscellaneous/the-aligarh-journal-of-statistics/ho...
• https://in.sagepub.com/en-in/sas/calcutta-statistical-association-bullet...

Academic Year:

2024-2025