QM Course Outline Sandeep 2017
QM Course Outline Sandeep 2017
QM Course Outline Sandeep 2017
About the Instructor: Dr. Sandeep Srivathsan is an Assistant Professor at Great Lakes Institute
of Management. He has Masters and Doctorate degrees in Industrial Engineering and
Management from Oklahoma State University (OSU), Stillwater, Oklahoma, USA. He has a
Bachelors degree in Mechanical Engineering from University of Madras. Since graduation, he has
also worked as a post-doctoral researcher at the Spears School of Business at OSU, Nanyang
Business School at Nanyang Technological University, Singapore (NTU), the School of
Mechanical and Aerospace Engineering at NTU, and Air Traffic Management Research Institute
(ATMRI) at NTU. His primary research interests are in the field of stochastic modeling, freight
modeling, air traffic management, supply chains and queueing theory.
Course Description: This course aims to familiarize the student with Optimization tools that can
be employed for business decision analysis and improvement. The coverage includes linear,
integer and mixed-integer programming models and network optimization.
Introduction: In general, decision-making in real life scenarios involves taking into account
various factors such as profit and associated risk, and there needs to be a trade-off between these
factors. For example, in a manufacturing company, companies need to increase production to
improve customer satisfaction and market share and at the same time make sure that they should
not have excess inventory. Such problems become more complex as the scope of the problem
increases (e.g., in a supply chain network where we need to consider raw material suppliers,
distribution centers, manufacturers, warehouses and retailers along with the transit operations
between these entities). This course aims to enable the students to develop a scientific approach
to obtain a reasonably good solution for such problems. In other words, the course will present
what every manager should know about modeling without getting into the theoretical aspects of
problem solution.
Course Objective and Key Take Away: The course would introduce the students to the
formulation of optimization models (linear programming models, integer programming models,
mixed-integer programming models and network models). Additionally, the students would also
be taught to solve these models using a graphical method (two-dimensional), and the solver add-
in in Microsoft Excel. Several real life examples like facility location problem, portfolio
management problems would be used to teach key concepts of mathematical programming in
management science. Throughout the course, the focus remains on development of the model
and solving them without actually getting too theoretical. The objectives of the course are as
follows:
Expose the students to the relevance and power of the optimization model and
motivate them to explore the application of these techniques in various decision making
problems in management.
Develop skills to analyze the problem and represent it mathematically in a suitable
model.
Develop an understanding to interpret the solutions in the context of the problem and
evaluate its adequacy.
Provide students with the ability to approach and analyze opportunities in a systematic
manner, recognize situations in which management science techniques may be effectively
applied and communicate with operations research analysts.
Use the knowledge gained from this course to continue life-long learning in decision
technologies to aid business decision-making and planning.
Learning Goals
In addition to the course objectives mentioned above, students should expect to develop the
following by end of the course
1. Decision Making Skills and Analytical Ability : An ability to arrive at a feasible criteria
for implementation of a decision among a set of equally competitive possibilities ; through
quantitative and / or qualitative analysis of data and contextual information / industry
analysis . (Assessment through Individual / Group Project / Examination based on
publicly available data sets / competitor information / industry analysis requiring
justification and identification of the most acceptable decision based on a given set of pre
defined parameters )
2. Critical Analysis and Creative Communication Skills: Each student should be able to
identify key issues relevant to this course, develop a perspective supported by externally
obtained / instructor provided information ; capacity to distinguish between major,
minor, peripheral and irrelevant factors as well as exogenous and endogenous variables ;
and present and defend the decision arrived at based on the assessment criteria already
established. (Assessment through case discussion and analysis)
3. Interpersonal Communication and Group Working Ability: Each student is required to
demonstrate an ability to appreciate peer group member view point and work in team
environment, exhibiting a clear understanding of individual roles and tasks, ability to
identify and resolve interpersonal conflicts and contribute in achieving team goals.
(Assessment through team based project work preferably allowing for adjustments for
differences in terms of intra group effort and contribution e.g peer assessment ; viva
voce )
Required Text Book: Introduction to Operations Research, 10th edition, Hillier & Lieberman,
McGraw Hill Publictions.
MS excel Add-ins: Solver, Solver Table
EVALUATION COMPONENTS:
I will be assigning two assignments for the course, and expect that the students duly submit them
on or before the due date. No late assignments will be accepted unless I have been notified prior
to the due date.
I expect the students to be very attentive in class, and show a willingness to participate in
appropriate class discussions as well as in the problem solving exercises.
If you are unable to attend a class session, it is your responsibility to obtain notes from your
classmate.
Session No- 2, 3, 4
Session Title Linear Programming (Model Formulation, Solution using
Graphical Method and Microsoft Excel Solver)
Pedagogy Discussion, Power point Presentation, Excel solver
demonstration
Session No- 5, 6
Session Title Integer Programming (Model Formulation, Solution using
Graphical Method and Microsoft Excel Solver)
Pedagogy Discussion, Power point Presentation, Excel solver
demonstration
Session No- 7, 8
Session Title Mixed-Integer Programming (Model Formulation, Solution
using Microsoft Excel Solver)
Pedagogy Discussion, Power point Presentation, Excel solver
demonstration
Session No- 9, 10
Session Title Sensitivity Analysis in Linear Programming Problems
Pedagogy Discussion, Power point Presentation
ATTENDANCE
Regularity in Attendance
The class room doors will be closed within 5 minutes of starts for each session.
Student attendance will be a component while grading them for the course. If the
instructor wishes to take physical attendance along with the Biometric attendance,
they will communicate the same in the class. In this case also Biometric attendance
will be the official record (and not the physical attendance) for the course.
Instructors have been advised to report about habitual absentees (habitual
absentee is defined as students absent in the class for more than three classes
consecutively).
Unauthorized absence from class/institute will be considered a breach of discipline and
the Institute will be free to take appropriate action in such cases. The same student will be
asked to face disciplinary committee. Students will not be given any attendance for any
committee related activities which warrants them to drop from the class. They are
required to undertake all committee related work beyond class hours.
Under extra-ordinary circumstances, students may obtain leave of absence under the
following rules and procedures:
Prior permission of the Director PGPM must be obtained for availing of leave.
Students are not permitted to go out of station during the terms. In the event of
students visiting their local guardian for overnight stay, they must inform the Director
PGPM and admin office (Officer in charge of hostels) and only travel after receiving a
proper gate pass. If a student is noticed to be out of station for overnight without any
intimation to the Director PGPM, disciplinary action will be taken against him/her to
the extent of debarring the student from appearing in the examinations.
In case of sickness, medical certificate issued and/or countersigned by the doctor
along with the prescribed application form must be submitted to the PGPM Office
within 3 days of joining classes after illness. No student shall be allowed to join the
program unless he/she presents a medical fitness certificate duly endorsed by a
Medical Officer of the designated hospital only. No medical certificates from doctors
other than the Institute approved hospital will be entertained.
Institute's approved hospitals Medical Officers will issue medical certificates only in
case of diagnosed illness where they are convinced that the student is too ill to attend
classes. These include hospitalization, communicable diseases (chicken-pox, jaundice
and typhoid) and accidental injuries (fractures, deep traumas).
For grounds other than sickness, leave will be allowed to students in exceptional cases
depending on the genuinity of the case by the PGPM Director. However no
compensatory attendance and examination will be held for the period of leave.
Students will be awarded grades on the basis of their attendance level and
performance only in the classes from which they were present. Before applying for
leave to the Director PGPM a student should contact his/her course instructors to
ensure that he/she is not missing any quizzes or examinations during the leave
period.
The PGP Office or the faculty concerned will not be responsible for the student losing
any segment of evaluation on account of his/her leave. No compensatory opportunity
will be given for quizzes and other class room based components on account of leave
of any kind.
Each student is expected to attend a minimum of 80% of classes in each course. The grade
penalty will be imposed on all the students who do not meet the minimum 80%
attendance requirements in each course in the following manner:
Attendance of Student Performance Grade Penalty
More than or equal to 70% but less than
One grade drop (e.g. from A to A-)
80%
More than or equal to 60% but less than
Two grade drop (e.g. from A to B+)
70%
Less than 60% F grade will be awarded
If a student gets D grade in a particular course and also gets a grade drop due to
attendance shortage, 'D' will become an 'F' grade.
If a student fails to meet the specified attendance requirement, his/her grade in the
respective course(s) would be lowered by the Director PGPM in accordance with the
grade penalty rules laid down above.
Norms of Behavior
Students should demonstrate respect for Faculty and fellow students. Respectful
behavior contributes to the enhanced learning experience. Students should refrain
from disruptive behavior such as eating, using laptops, and holding side-
conversations. Using laptops during is allowed only on the instruction of the
professor. If necessary, the students are expected to seek redress for grievances at
a proper forum instead of seeking an immediate solution.
Students are expected to help maintain chairs, display screen, desktop computers,
LCDs, tables, window curtains and electrical fittings in good usable condition and
not damage them or render them useless. Students are expected not to destroy the
classroom ambience. The cost of damage, loss or theft on account of students will
be recovered from them. When this cannot be attributed to one student, the cost
will be recovered from an identifiable group of which the individual is a part or
from the entire batch. Students are expected to use cans to dispose of trash. They
are also encouraged to remove defacing or unclean material voluntarily.
Great Lakes has adopted the principle of preserving the environment. Therefore,
it tries to inculcate in the minds of its students and staff, a sense of being one with
nature causing no harm anytime, anywhere, and under any circumstances which
will result in damage to the environment.
Smoking, chewing tobacco and drinking alcohol in and around the premises is
strictly prohibited. Severe penalties will accrue to those students caught violating
this.
Use of laptops in the class is strictly prohibited during class hours, unless
specifically authorized by the Faculty or the Academic Administration.
Biometric Readers:
Bio-metric readers are installed for attendance in class rooms. Students must
register their attendance using only these devices.