Course Outline Introduction to Management Science MSCI 2150

Introduction to Management Science
MSCI 2150
Course Outline
University of Manitoba
I.H. Asper School of Business
Faculty of Management
Department of Supply Chain Management
A01
Fall 2014
11:30 am - 12.45 pm
MW Sept 04 - Dec 03, Drake 115
Instructor Name
Dr Y. Gajpal
Position
Assistant Professor
E-mail
[email protected]
Office Location
Room 622 Drake Building
Phone T
(204)474-7421
Fax
v
(204)474-7545
Office Hours
Will be announced in Class
Text
Bernard W. Taylor III,
Introduction to Management Science Custom Edition for the University of Manitoba
Publisher: Prentice Hall; Compile by S.S.Appadoo
The University of Manitoba Bookstore carries a large selection of new and used textbooks
at competitive prices for every course offered at our University. We recommend that you
log on to www.umanitoba.ca/bookstore to determine course book selection, availability
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and pricing. The Fort Garry Bookstore is located in the heart of the Fort Garry Campus at
140 University Centre. For those people closer to the Health Sciences campus, the address
is 140 Brodie Centre, 727 McDermot. We suggest you print the course book list, confirm
with your professor, then proceed with your purchase.
Introduction to Management Science.
[Formerly 164.215] An Introduction to Management Science techniques and models. Topics include linear programming, distribution problems, decision theory and queuing
models. Prerequisites: (MATH 1310 (or 136.131) or MATH 1300 (or 136.130) or MATH
1301) or equivalent and MATH 1520 (or 136.152) or MATH 1500 (or 136.150) or equivalent.
Corequisites: STAT 1000 (or STAT 1001) or equivalent and COMP 1260 (or COMP 1261).
May not hold with the former 027.215.
[L’ancien164.215] Introduction aux techniques et modeles des sciences de la gestion. Les
sujets traits incluent la programmation lineaire, les problemes d’affectation et de transport,
la theorie de la decision, les files d’attente. Prealables: MATH 1310 (ou 136.131) ou MATH
1300 (ou 136.130) et MATH 1520 (ou 136.152), ou MATH 1500 (ou 136.150). Prealable ou
corequis: STAT 1000 (ou STAT 1001) et COMP 1260 (ou COMP 1261) ou consentement
du professeur. May not hold with former 027.215.
OBJECTIVES
(a) To introduce students to the subject of Management Science, and a variety of management science models, methods and computational procedures that are helpful in solving
management problems in Finance, P.O.M., Accounting, M.I.S., Marketing, Operational
Research, Actuarial Science, etc. Emphasis is placed on models and their solutions.
(b) To give students a good foundation in basic problem solving as a preparation for upper
level quantitative courses (Finance, Production/ Operations Management, Accounting,
M.I.S., Marketing, Operational Research, Supply Chain Management etc.).
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(c) To develop in students an appreciation of the management science approach to problem
formulation and solution, so important in the modern business and industrial world
with the increased use of computers. This course is designed to provide students with
a conceptual understanding of the role that management science plays in the decisionmaking process. Quantitative methods will be discussed and there will be emphasis on
modeling, problem solving, and showing how quantitative approaches can be used in
decision making process.
(d) In the words of the authors. The objective of management science is to solve the
decision-making problems that confront and confound managers in both the public
and the private sector by developing mathematical models of those problems. These
models have traditionally been solved with various mathematical techniques, all of which
lend themselves to specific types of problems. Thus, management science as a field of
study has always been inherently mathematical in nature, and as a result sometimes
complex and rigorous. When I began writing the first edition of this book in 1979, my
main goal was to make these mathematical topics seem less complex and thus more
palatable to undergraduate business students. To achieve this goal I started out by
trying to provide simple, straightforward explanations of often difficult mathematical
topics. I tried to use lots of examples that demonstrated in detail the fundamental
mathematical steps of the modeling and solution techniques. Although in the last two
and a half decades the emphasis in management science has shifted away from strictly
mathematical to mostly computer solutions, my objective has not changed. I have
provided clear, concise explanations of the techniques used in management science to
model problems, and provided lots of examples of how to solve these models on the
computer, while still including some of the fundamental mathematics of the techniques.
The stuff of management science can seem abstract, and students sometimes have trouble perceiving the usefulness of quantitative courses in general. I remember when I was
a student I could not foresee how I would use such mathematical topics (in addition to
a lot of the other things I learned in college) in any job after graduation. Part of the
problem is that the examples used in books often do not seem realistic. Unfortunately,
examples must be made simple to facilitate the learning process. Larger, more complex examples reflecting actual applications would be too complex to help the student
learn the modeling technique. The modeling techniques presented in this text are, in
fact, used extensively in the business world and their use is increasing rapidly because
of computer and information technology. Therefore, the chances of students using the
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modeling techniques that they learn from this text in a future job are very great indeed.
Even if these techniques are not used on the job, the logical approach to problem solving
embodied in management science is valuable for all types of jobs in all types of organizations. Management science consists of more than just a collection of mathematical
modeling techniques; it embodies a philosophy of approaching a problem in a logical
manner, as does any science. Thus, this text not only teaches specific techniques but
also provides a very useful method for approaching problems.
My primary objective throughout all revisions of this text is readability. The modeling
techniques presented in each chapter are explained with straightforward examples that
avoid lengthy written explanations. These examples are organized in a logical step-bystep fashion that the student can subsequently apply to the Problems at the end of each
chapter. I have tried to avoid complex mathematical notation and formulas wherever
possible. These various factors will, I hope, help make the material more interesting
and less intimidating to students.
Important Dates
Midterm Test I
Voluntary Withdrawal
FINAL EXAMINATION
Friday, October 24, 2014, 6.00 pm - 8.00 pm
40%
November 12, 2014
Schedule by Student Records
60%
Mid-Term Test and the Final Exam will be Cumulative.
All examinations are closed-book - no notes or other memory aids are allowed.
Disability Policy Statement:
Any Student requesting academic accommodations based on a disability is required to
register with Disability Services each semester. Student with disability requiring accommodations is encouraged to contact me after class or during office hours. All discussions will
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remain confidential and upon request I will arrange accommodations to ensure full participation. Additionally, students should contact Disability Services. All D.S. discussions are
confidential. If you meet their criteria, D.S. staff will notify me. I will work with them to ensure that examinations are delivered on time and picked up at the conclusion of the examination. Disability Services is located at 155 University Centre University of Manitoba.
Students are encouraged to visit or call Disability Services, in order to make an appointment with DS staff. Phone Number: (204) 474-6213 and Fax: (204) 261-7732. For further
information please visit http : //umanitoba.ca/student/resource/disability − services/
LECTURE SCHEDULE AND READING
ASSIGNMENT.
Chapter 1, Management Science, pp.1-28. The management science approach.
Chapter 2, Linear Programming and graphical solution, pp 29-70.
Chapter 2, Linear Programming, Graphical Solution, standard form, pp. 29-70.
Chapter 3, Linear Programming Formulation, Computer output, and
Sensitivity Analysis from Computer Output, pp. 71-109.
Chapter 4, Linear Programming Modeling Examples, pp 110-179.
Chapter 4, Linear Programming Applications such as Investment Models, Scheduling Model
Blending Model, Multi Investment Model, Production inventory Model, Survey Model as a
Blending Model and some other optimization models.
Chapter 5, Transportation Models, Problems. pp 182-235,
Chapter 5 Formulation of Transportation, Transshipment and
Assignment problems as L.P.P. Excel solution and interpretation.
FFFFF
Midterm I Friday, October 24, 2014, 6.00 pm - 8.00 pm 40%
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Chapter 6, Network Flow Models. pp 235-284.
Shortest Route-Shortest Path, Spanning Tree and LP Formulation for Shortest Route Model.
Chapter 7, Probability and Statistics. Students are advised to read this chapter on their own. pp 284-321.
Chapter 8, Decision Analysis, pp 326-383.
Chapter 9, Queuing Analysis, pp 387-423.
IMPORTANT NOTE:
Students are strongly advised to go through solved examples, Problems and Case Problems
in the textbook. Always adopt pen and paper for doing Management Science problems. You
will be deceiving yourself if you simply read the text. In order to draw the maximum benefit
out of this course, you should always, before going to the next lecture, go through the reading
assignment. This will create greater interest in the lecture.
It is the Responsibility of all Students.
• FF Responsibility: You are responsible for obtaining notes and handouts
from any classes you miss.
• FF Attendance: It has been observed that your attendance in class has a
direct correlation with your final grade. Do make an attempt to attend all
classes.
• FF Exams: The Tests and Final will be closed book, no notes allowed.
• FF Students should familiarize themselves each year with the university’s
academic regulations and policy in general;
• FF Students should familiarize themselves with the regulations and policies applying specifically to their faculty, school, or program;
• FF Students should familiarize themselves with the specific graduation
requirements of the degree, diploma, or certificate they are seeking; and
• FF To ensure that the courses they have selected are appropriate to their
programs.
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Attendance Policy
Attendance will not be taken. However, students are expected to attend the classes. While
your absences will not directly influence your grades, you are responsible for all material
covered in class whether you attend classes regularly or not. Ultimately, the final grade
will depend on how much you have learned and not how often you came to class (although
the two are usually highly correlated since missing classes may impair your understanding
of the material). If you need my help and are unable to come to my office hours, don’t
hesitate to schedule an appointment to see me some other time. The best way to contact
me outside office hours is by e-mail. Feel free to interrupt me (as long as you don’t overdo
it) during class and to talk to me after class if you have questions.You are expected to be
in a professional business manner in asking questions and replying to questions from both
the instructor an other classmates. Late arrivals and walking in and out of the class disrupt
the flow of the class. Please avoid private conversations that may distract your classmates
and your instructor, and turn off your cellular phones.
Exam Policy
No cellular telephones or other electronic communication devices are allowed during examinations. Such items will be removed when discovered, and returned upon the completion
of the examination.
No make-up examinations will be given. If you miss a Mid-Term Examination for health
reasons you are expected to have your doctor complete the attached University of Manitoba
Medical Absenteeism Form and submit it to your instructor.
A similar calculation would be performed if you missed Mid-Term Two.
If you miss the Final Examination you will be required to consult with the Student Advisors
in the Undergraduate Program Office, Room 268 Drake Centre. If you meet the criteria and
qualify for a Deferred Final Examination, the Department of Supply Chain Management
will schedule another opportunity in the New Year for you to write your Final Examination
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in the course.
If you miss a Mid-Term Examination for a reason other than illness, you are expected
to contact your instructor at your earliest possible opportunity and explain the circumstances surrounding your absence. Your instructor will require appropriate documentary
evidence to justify your absence. Then the matter will be referred to the Department Head
to ensure that all scenarios are dealt with in a uniform manner.
ADDITIONAL RESOURCES: Your textbook contains numerous Problems, Self Test
Exercises and Case Problems (voluntary or otherwise) at the conclusion of each chapter.
You are seriously encouraged to work through many of them in order to consolidate your
understanding and provide you with confidence when writing the examinations.
You will have Library Reserve Access to Practice Mid-Term Examinations and a Practice
Final Examination. These former examinations will make you aware of the examination
format and the scope of the material included in an examination in this course. You will realize that you will be expected to solve a variety of analytical problems in a limited amount
of time and space.
The best way to succeed in this course is to read your textbook, practice solving problems,
complete homework prior to each class, and review the lecture notes with the examples
done in class. It is strongly advised that you start studying for this course well before the
examination date. Few students are able to learn all the required topics in the last week
before the examination. Limited knowledge of a few of the topics covered in the class may
not be sufficient to earn a passing grade in the course.
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ACADEMIC INTEGRITY:
It is critical to the reputation of the Asper School of Business and of our degrees, that
everyone associated with our faculty behave with the highest academic integrity. As the
faculty that helps create business and government leaders, we have a special obligation to
ensure that our ethical standards are beyond reproach. Any dishonesty in our academic
transactions violates this trust. The University of Manitoba General Calendar addresses
the issue of academic dishonesty under the heading Plagiarism and Cheating. We expect
you to familiarize yourself with the Academic Integrity guidelines. Students who violate
University standards of academic integrity are subject to disciplinary sanctions, including
failure in the course and suspension from the University. Since dishonesty in any form
harms the individual, other students, and the University, policies on academic integrity will
be strictly enforced.
Offenses: Cheating on any exam, quiz, work to be completed in class; theft, or attempted
theft of exam questions; possession of exam questions prior to the time for examination;
or use of a graphing calculator on a test shall all be offenses subject to appropriate penalties.
I expect you to exhibit integrity in all of your actions related to this course.
What does integrity mean? On exams, the meaning is clear: dont cheat, and
we all know what that means. In addition to homeworks, I will provide practice
midterms and a practice final. These are based on past exams and are meant
as a guide for how the exams may look like. They are not meant to tell you
what will be on the exam.
How to study for this class: We will cover a wide range of topics in this
class. The exams will require that you can solve analytical problems in a limited
amount of time. The best way to succeed in this class is to thoroughly practice
solving problems, doing the homeworks, reading the textbook, and reviewing the
lecture notes and examples given in class. I strongly advise you to start studying for this class well before the exam date. Few people manage to learn all the
required topics in the last week before the exam. Limited knowledge of a few of
the covered topics may not be sufficient to pass the course.
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