OPERATION RESEARCH-PRACTICAL

Paper Code:

DFSG 512 B

Credits:

Contact Hours:

30.00

Max. Marks:

100.00

Objective:

Course Outcomes	Learning and teaching strategies	Assessment Strategies
On completion of this course, the students will be able to: CO146 Comprehend decision-making situations in business and the role of different quantitative approaches, tools of decision science and limitations of operation research. CO147 Gain knowledge about application of Linear Programming (LP) for optimum allocation of resources with different approaches relating to problem solving in business situations constrained by availability of resources or alternatives. CO148 Apply the knowledge of game theory and theory of queuing in analyzing the real business problems through them. CO 149 Apply the knowledge of prudent and cost-effective decision making through transportation and assignment problems. CO 150 Acquire skills relating to the maximin, minimax, maximax and decision tree analysis	Approach in teaching: Interactive Lectures, Discussion, Tutorials, Practical cases Demonstration, Power point presentation. Learning activities for the students: Self learning assignments, Effective questions, Seminar presentation, Live practical problems analysis	Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

Course Outcomes

Learning and teaching strategies

Assessment Strategies

On completion of this course, the students will be able to:

CO146 Comprehend decision-making situations in business and the role of different quantitative approaches, tools of decision science and limitations of operation research.

CO147 Gain knowledge about application of Linear Programming (LP) for optimum allocation of resources with different approaches relating to problem solving in business situations constrained by availability of resources or alternatives.

CO148 Apply the knowledge of game theory and theory of queuing in analyzing the real business problems through them.

CO 149 Apply the knowledge of prudent and cost-effective decision making through transportation and assignment problems.

CO 150 Acquire skills relating to the maximin, minimax, maximax and decision tree analysis

Approach in teaching: Interactive Lectures, Discussion, Tutorials, Practical cases Demonstration, Power point presentation.

Learning activities for the students: Self learning assignments, Effective questions, Seminar presentation, Live practical problems analysis

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

6.00

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

6.00

• Case studies/ Numerical problems related to Linear programming.

6.00

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

6.00

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

6.00

• 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:

SUGGESTED TEXT BOOKS:
• 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

SUGGESTED REFERENCE BOOKS:
• 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-RESOURCES:
• 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:

2023-2024