msm course outline

8/10/2019 MSM Course Outline

http://slidepdf.com/reader/full/msm-course-outline 1/7

Course Outline of ‘ Management Science Models’ , IMT Nagpur, Batch 2014-16, Course

Coordinator - Prof. Sarbjt Singh

Course Outline

Batch: 2014-16 Term:II

Course: Management Science Models Credits: 3

Course Instructor: Prof. Sarbjit Singh/Prof. B. Tripathy

Overview/Course Aims/Objectives of the course: In today's competitive worldsubstantial market benefits and cost savings can be achieved by effective planning and

management of the resources. This course seeks to provide the key concepts and models inthe decision making, control and management of various resources. This course is tounderstand analytical and modeling skills which enable student managers to address theoperational issues of the industry using the existing/constructing operations researchmodels.

Though the primary objective of this course is to introduce select models of OperationsResearch with its applications, the specific objectives are as follows

To introduce concepts of modelingTo formulate real world problems as O.R. problemsTo obtain the optimal solutions of the formulated O.R. problemsTo make students familiar with O.R. software’s like QM for windows/excel solverTo develop the art of carrying out sensitivity analysis

Student Learning Outcomes:

At the end of the course, the students would be able to:

1. Formulate linear programming models

2.

Obtain solution to various formulated linear programming problems3. Evaluate project schedule and carry out cost-time tradeoff cost.4. Apply the concepts of game theory in various management problems.5. Construct queuing models and estimate associated parameters6.

Resolve the various management oriented problems through OR Models





Prerequisites, if any: Student must be aware of matrix operations and normal distribution

Basic Text Book: Quantitative Technique in Management- N D Vohra, Tata McGraw Hill

Education Private Limited, 4th édition, 2012

Reference Books:

An Introduction to Management Science-Quantitative Approaches to Decision Making,David R. Anderson, Dennis J. Sweeney and Thomas A. Williams, Cengage Learning,11th Edition.,2008

Operations Research: Applications and algorithms, Wayne L. Winston, Thomson, 4th

Edition. 2007

Operations Research: Concepts and Cases, Frederick S. Hillier & Gerald J. Lieberman,The McGraw Hill Companies, 8th Edition. 2008

Principle of Operations Research: with applications to managerial decisions, HarveyM. Wagner, PHI Learning Private Limited, 2nd Edition. 2010

Operations Research, Principles and Practice, Ravindran, Phillips, Solberg, WileyStudent Edition, 2nd Edition, 2007

Class rules/Expectations from students: Students must go through pre-classpreparations/reading materials, and come prepared for class. Our academic code does notallow students, any form of plagiarism/academic misconduct in their academic work,including presentations/assignments.





Proposed Session Plan:

Session

No

Topic

Resource Material

Additional Reading/ Preclass preparation

required

Learning’s

1 Introduction tothe operationsresearch, itshistory,applications andrelevance topresent worldproblems

Chapter 1, Article -http://universalteacher.com/1/brief-history-of-operations-research/

Relevance of

operationsresearch inbusinessenvironment

Its applicationsin various othefields

2-3 Introduction toLinearProgramming – Its Propertiesand Formulation

Chapter2, A SampleSurvey of Operations-Research Activities at the CorporateLevelEfraim TurbanOperations Research, Vol21(1973)

Understandingthe basic of lineprogrammingand itsassumptions

Formulatingvarious realworld problemas a linearprogramming

model

4 Introduction toLinearProgramming-GraphicalMethod

Auto AssemblyCase

Chapter3 How to solvelinearprogrammingmodel with twvariables usinggraphicalmethod

5-6 Introduction to

LinearProgramming –

Simplex Method& SensitivityAnalysis

Case- Fabrics

and FallFashionsCase- MertonTruckCompany

Chapter4 How to solve

linearprogrammingmodel with mothan twovariables usingSimplex metho

http://universalteacher.com/1/brief-history-of-operations-research/











Understandingof results anddoing sensitivianalysis usingsimplex metho

7 Transportation-Introduction-Finding InitialBasic FeasibleSolution

Solving transportation problem with the variousmethod of linear programming problem Asian Journal of CurrentEngineering and Maths,chapter 5

Understandingof transportatioproblem

To find basicfeasible solutiousing variousmethods

8-9 Transportation-Finding Optimal

Solution –ModiMethod

Case-Shipping

wood tomarket

Transshipment Problem,chapter5

To check theoptimality of

obtained basicfeasible solutio

To explore itsapplication invarious realworld problem

10 Guest lecture 1

11-12 Introduction toAssignmentProblem ,

HungarianAlgorithm

Traveling SalesmanProblem, chapter 6

Understanding

of assignmentproblem

How to solveassignmentproblem usingHungarianMethod

To explore

variousapplications ofassignmentproblem

13-15 Introduction toProjectManagement ,Critical PathMethod, PERT &

Case- MooreHousingContractorsCase-Reynolds

Chapter 12, Importance ofnetworktechniques inprojectmanagement





Crashing ConstructionCompany

How to solveschedulingproblems usingCPM & PERT

How to reduce

projectcompletionduration andbalance directand indirect co

16 Guest lecture 2

17-18 Introduction toGame Theory ,Solving of twoperson zero sum

Games usingdifferentmethods

Nash Equilibrium &Prisoner’s Dilemma ,chapter 15

Understanding

the concepts ofgame theory

How to solve

two player zerosum games witvarious method

19-20 Introduction toQueuing Theory

Exponential and PoissonDistribution, Chapter10

Understanding

the Importanceof queuingtheory in servicmanagement

How to use

known queuinmodels forsolving variousbusinessproblems

21 Introduction toReplacementTheory

Chapter11 Understandingconcepts ofreplacementtheory

How to makereplacementdecisions usingreplacementtheory

22 Simulation Chapter 17 Understand th





process ofsimulation

Formulation ofsimulationmodel using

Monte CarloTechnique

23-24 GroupPresentations

*Chapters indicated are reference to Basic Text Book

Above session plan is tentative, and variation from above is possible, asdemanded/needed for effectively administering the course, and as perceived by thecourse instructor.

Pedagogy: The pedagogy will be a mix of lectures, experience sharing, real life case discussion,

industry/research based projects and guest lectures.

Evaluation Scheme (with Assessment Details, explaining each component, whereneeded):

Sr. No. Components* Weightages Learning Outcomes

1 *Group Assignment 20 Students will be judgedon their analyticalthinking and team

work

2 Quizzes 20 Students will tested ontheir ability to

formulate models andobtaining optimal

solution

3 End–TermExamination

40 Students will be testedon their critical and

reflective thinking4 **Group presentations 20 Students will be tested

on their communicationskills and problemsolving ability





* Each group is expected to take up a real world problem related to Management Science Models. You are expected to solve the problem based on tools and techniques discussed inthe class and submit your report.

**Each group will be assigned a topic related to Management Science Models; they are

expected to give presentation on the topic with secondary research and present at leastone practical application found in their research.

Any other Remarks:

All the students are requested to carry their own Book and Calculator in each and

every session.

Since much of the course material requires class discussion, it is important that you

are prepared for the class, present and defend your ideas. Preparation for classincludes having read the assigned material.

There will be 11 Groups of six members each, with an exception of one or twogroups depending upon the class size.

Students are suggested to meet the course instructor for any conceptual or courserelated query/confusion after taking a prior appointment.

msm course outline

Documents