Close
QMBD-EMBA-18
MBA(Exe.) 2018-19: Term-IV

Page 1 of 2

QUANTITATIVE METHODS FOR BUSINESS DECISIONS (QMBD)
Credits Three (3)
Faculty Name Arun Kumar Paul (arun@ximb.ac.in)
Program Executive MBA 1 Yr Full-time; Elective from DS area
Academic Year and Term 2018-2019; Term 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 quantitative approaches in business decision making and 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
Multi-Criteria Decision Making (MCDM) – Weighted methods; AHP
5 - 8
LPP and its applications
9,10
Monte Carlo simulation – decision with quantified uncertainties
11,12
Inferential statistics, Regression models , SPSS
13
Data Envelopment Analysis ; Goal Programming
14
Network models
15,16
Waiting line models
17
Theory of Constraints
18
Game Theoretic approach
19
Multi-Attribute Utility Theory (MAUT); Interpretative Structural Modeling (ISM) - Introduction
20
Case study presentations; Group work presentations
Quiz, 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 -1 (Individual) : 15 %
c. Quiz -2 (Individual) : 20 %
d. Group Work + presentation : 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
· Statistics for Management by Levin, Rubin, Rustogi and Siddiqui, 7th edn., Pearson
· Quantitative Methods for Business by Anderson, Sweeney, Williams, Camm & Martin, CENGAGE Learning (TEXT BOOK)
· 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 11/17/2018 at 09:41 AM
Category: MBA(Exe.)2018-19 T-IV Doctype: Document

...........................