Course Outline _Quantitative Methods - II

Course Outline Course Name: Quantitative Methods for Business ‐ II Instructor(s): Prof. Amit Sachan and Prof. Sasadhar Bera E‐mail: [email protected], [email protected] Objective: The objective of this course is to learn how to apply a particular quantitative technique in a business decision making. This introductory course covers optimization techniques like linear programming, integer programing, transportation problems, multi‐objective decision (goal programming), multi criteria decision making (AHP), Forecasting, and Simulation. These techniques are used in a wide variety of realistic applications including manufacturing operation, Service operations, finance and marketing application areas. Most of the course is focused on in modeling, understanding the implications and limitations of the model with examples. The optional project provides an opportunity for students to develop their skills in identifying and structuring problems. Skills developed include identification of the proper modeling tool for the business problem, conducting proper analysis using the tool and developing recommendations for the original business problem. Textbook: 1) An introduction to management science: Quantitative approaches to decision making – Anderson, Sweeney, Williams, and Martin 2) Introduction to management science with spreadsheets. ‐ William J. Stevenson and Ceyhun Ozgur. 3) Quantitative analysis for management ‐ Barry Render, Ralph M Stair, Michael E Hanna, T. N. Badri, Pearson India Pvt. Ltd. 4) Operations research: An Introduction ‐ H. A. Taha Homework Assignments Homework problems will be assigned regularly (electronic or hard‐copy). The solved assignments should be legible, clearly documented and prepared according to instructions.

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Transcript of Course Outline _Quantitative Methods - II

CourseOutline

Course Name: Quantitative Methods for Business ‐ II Instructor(s): Prof. Amit Sachan and Prof. Sasadhar Bera E‐mail: [email protected], [email protected] Objective: The objective of this course is to learn how to apply a particular quantitative technique in a business decision making. This introductory course covers optimization techniques like linear programming, integer programing, transportation problems, multi‐objective decision (goal programming), multi criteria decision making (AHP), Forecasting, and Simulation. These techniques are used in a wide variety of realistic applications including manufacturing operation, Service operations, finance and marketing application areas. Most of the course is focused on in modeling, understanding the implications and limitations of the model with examples. The optional project provides an opportunity for students to develop their skills in identifying and structuring problems. Skills developed include identification of the proper modeling tool for the business problem, conducting proper analysis using the tool and developing recommendations for the original business problem. Textbook:

1) An introduction to management science: Quantitative approaches to decision making –

Anderson, Sweeney, Williams, and Martin

2) Introduction to management science with spreadsheets. ‐ William J. Stevenson and Ceyhun Ozgur.

3) Quantitative analysis for management ‐ Barry Render, Ralph M Stair, Michael E Hanna, T. N. Badri, Pearson India Pvt. Ltd.

4) Operations research: An Introduction ‐ H. A. Taha

Homework Assignments Homework problems will be assigned regularly (electronic or hard‐copy). The solved assignments should be legible, clearly documented and prepared according to instructions.