डॉ. बी. आर. अम्बेडकर विश्वविद्यालय दिल्ली 
| Course Type | Course Code | No. Of Credits |
|---|---|---|
| Foundation Core | SBP2MB130 | 2 |
Semester and Year Offered: 1st Semester
Course Coordinator and Team:
Email of course coordinator:
Pre-requisites: None
Aim: The course provides students with a sound conceptual understanding of the role that management science plays in the decision making process. It emphasizes the application of a wide variety of quantitative techniques to the solution of business problems.
Course Outcomes:
At the end of the course, the participants will be able to:
- Understand the discipline of management science, and the associated mathematical tools and techniques to aid decision making and planning
- Formulate simple and complex models using appropriate statistical tools
- Use different models and forecasting techniques in business and appreciate the effect of multi-criteria decision making
- Interpreting the outcomes of the models and their implications for the manager
Brief description of modules/ Main modules:
Unit 1: Introduction to Management Science
Unit 2: Linear Optimization
Linear programming model formulation and applications; graphical method for solution; introduction to using excel solver; special linear programming problems; transportation models, assignment models, transshipment models, travelling salesman problem; solving network models using MS excel solver/optimization software
Unit 3: Network Models
Concept and preparation of networks; PERT and CPM; shortest route problem
Unit 4: Linear Integer Programming
Select applications; pure integer models; mixed integer models; zero-one programming; solving linear integer model using optimization software
Unit 5: Linear Goal Programming
Goal programming formulations and solution methods
Unit 6: Decision Analysis
Decision making under certainty, risk and uncertainty
Unit 8: Introduction to Waiting Line Models
Characteristics and structure of queuing systems; arrival and service process; inter-arrival time distribution
Assessment Details with weights:
| Nature of Assessment | Weight |
|---|---|
| Problem Solving Assignments | 30% |
| Mid Term Assessment | 30% |
| End Term Assessment | 40% |
Reading List:
- Anderson, D.R., Sweeney, D.J. and Williams, T.A. (2012). An Introduction to Management Science: Quantitative Approaches to Decision Making, 13th edition, Cengage Learning.
- Hillier, F. and Lieberman, G. (2012). Introduction to Operations Research: Concepts and Cases, 9th edition, Tata McGraw Hill Education Private Limited.
- Sharma, J.K. (2009). Operations Research: Theory and Applications, 4th edition, Macmillan India Limited
- Wiest, J.D. and Levy, F.K. (1988). A Management Guide to PERT/CPM, With GERT/PDM/DCPM and Other Networks, 2nd edition, Prentice Hall.
- Winston, W.L. and Albright, S.C. (2014). Practical Management Science, 5th edition, Cengage Learning.
ADDITIONAL REFERENCE:
- Additional Cases and Readings / Articles are provided to the participants in form of a course manual as the commencement of the session.