OR-MB16

OR-MB16
MBA 2016-18: Term-II

Operations Research

Credits	2.0
Corse Instructor	Dr. Papiya Bhattacharjee
Program	MBA
Academic Year and Term	2016-17 Term-II

1. Course Description
This course illustrates some important Operations Research Techniques and their applications to solve problems of different Managerial Situations. Every Chapter of this course aims at the basic concepts of the features of the problems, their formulations and solution techniques and illustration of those concepts by considering different cases or numerical examples. This has been designed in such a way that this will not only give an idea about the concepts and approaches of different important Optimization Techniques, but will also illustrate their appropriate use to solve different relevant decision making problems.

2. Learning Outcomes
§ Students would be able to identify appropriate Operations Research methods for managerial decision making.
§ Students would be able to structure the managerial decision problems as mathematical models.
§ Students would be able to obtain the solution of those models and also to interpret the solutions in taking effective and efficient decisions.
§ Students would be able to use Excel Solver for solving OR problems.

3. Required Textbook and Reading Material

Text Book

Hillier F. S, Lieberman G. J., Introduction to Operations Research, Tata McGraw Hill Publication, 9th edition.

Other reading material/handouts/cases may be provided from time to time throughout the course.

4. Tentative Session Plan

Session Number	Topics/Activities	Reading
1,2	Introduction to OR. What is OR? Need of OR for Management Students. Applications of OR. Introduction to Linear Programming Problems(LPP), Objective Function, Constraints. Solutions to LPP: Optimal, Feasible, Infeasible Solutions, Formulation of LPP	Chapters 1, 2, 3
3	Solving LPP having two decision variables: Graphical Method	Chapter 3
4, 5, 6	Solving LPP having more than two decision variables: By Simplex Method and EXCEL Solver	Chapters 3, 4, 5
7,8, 9	Transportation Models: Introduction and formulation, Solution of Transportation Model --Finding the initial basic feasible solution --North-West Corner Method, Least Cost Method, VAM. Optimality Test of Transportation Model Variants of Transportation Models	Chapter 8
10, 11	Assignment Models: Introduction and formulation. Solution by Hungarian Method	Chapter 8
11, 12, 13	Network Problem Modelling: Shortest path Problem, Min Spanning Tree Problem, Max Flow problem, Minimum Cost Flow Problem, CPM and PERT	Chapters 9, 22
14	Project Presentation	Cases/Problems assigned

5. Evaluation (Components and Distribution of Marks)
Maximum Marks (MM): 100

Class participation : 15% of MM

Quizzes : 25% of MM

Group Project/Presentation : 20% of MM

End-Term Examination : 40% of MM

6. Academic Integrity

§ Be present inside the class five minutes before the schedule.
§ Come to the class with a calculator. Use of mobile phones, tabs, etc. in the class is strictly prohibited and anyone found doing so will be penalized accordingly. Laptops are to be used only when instructed to do so.
§ Alterations in deadlines are not allowed under any circumstance.

Created By: Alora Kar on 09/12/2016 at 12:16 PM
Category: BM-I 2016-18 T-II Doctype: Document

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