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QMBD EM-14
Executive One-Year MBA (Full-time) 2014-15

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QUANTITATIVE METHODS FOR BUSINESS DECISIONS
Credits Four (4)
Faculty Name Arun Kumar Paul (arun@ximb.ac.in; 7381123523)
Program Exec PG One Year FT/PT; Elective from DS area
Academic Year and Term 2014-2015; Term 3 / 4

1. Course Description: Most of the successful business decisions rely on quantitative methods to select potential alternatives and help predict what options will have the greatest chance of success. Whether making purchasing, marketing or financing decisions, it is essential to obtain a quantitative foundation to assist in the decision-making process. Objectives of the course are to provide a formal quantitative approach to problem solving, to give an insight for managerial situations where a quantitative approach is appropriate and conceptual understanding of the role that quantitative methods play in the decision-making process. In addition, this course also introduces some widely used Quantitative Models used for Business Decision.
2. Learning Objective: After completing this course, students should be able to:
• learn popular quantitative tools and techniques used in decision making.

• know quantitative models and their relevance in business situations.

• apply suitable heuristic approaches in day to day operations.

3. Provisional Session Plan:
Session No.
Topic Description
Remarks
1,2
Problem formulation under constraints – Linear, Non-linearReading materials, Cases will be given to the students.
3,4,5
Multi-Criteria Decision Making (MCDM) – Weighted methods; AHP
6,7,8
Monte Carlo simulation – decision with quantified uncertainties
9,10
Aggregate planning; Allocation problems; Johnson’s Algorithm
11,12,13
Data Envelopment Analysis
14,15
Goal Programming
16,17
Network models
18,19
Waiting line models
20-23
Theory of Constraints
24,25
Game Theoretic approach
26
Multi-Attribute Utility Theory (MAUT); Interpretative Structural Modeling (ISM)
27
Case study presentations; Group work presentations
Quiz, Mid-term, Final Exam, Group / Case PresentationsAs per agreed schedule
4. Group Work:

Practical / Application oriented: Applying concepts and tools learnt in the course, to a real-life situation. (Submission: Hard copy (.doc + .xls) + soft copy (.doc, .xls, .ppt), on the day of Group presentation)

Criteria of evaluation:
· Choice of situation 5 %
· Definition of problem 10 %
· Collection of data 15 %
· Analysis of data,
      use of tools 40 %
· Suggested solution 20 %
· Reporting 10 %
5. Evaluation Methodology (for the entire course):
a. Class Room Attendance & Participation : 10 %
b. Quiz (Individual) : 15 %
c. Mid term (Individual) : 20 %
d. Group Work + prsentation : 15 %
e. Final exam (Individual) : 40 %


6. Grading System, Academic Integrity: (to follow the Manual of Policies) 7. Reference, Bibliography:
· Business Statistics for Contemporary Decision Making by Ken Black, Wiley India
· Basic Econometrics by Damodar N. Gujarati, Mc Graw Hills
· Multivariate Data Analysis, by Joseph F. Hair, Jr; William C. Black, Barry J. Babin and Rolph E. Anderson, Prentice Hall
· Quantitative Methods for Business by Anderson, Sweeney, Williams, Camm & Martin, CENGAGE Learning
· Data Analysis, Optimization, and Simulation Modeling by Albright, Zappe and Winston, CENGAGE Learning
· Quantitative Methods for Decision Making using Excel by Davis and Pecar, Oxford University Press. Created By: Alora Kar on 10/17/2014 at 02:28 PM
Category: EmbA-14T-IV Doctype: Document

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