MASTER OF BUSINESS LOGISTICS ENGINEERING
7382 LOGISTICS ANALYTICS
COURSE SYLLABUS
TERM:
Autumn 2014, Session 2 (10/27/14 – 12/8/14)
COURSE TITLE:
BUS M&L 7382, Logistics Analytics
COURSE TIME/PLACE:
Lectures: Gerlach Hall 0265, Monday, 6:00 PM to 9:15 PM
Exam: TBD. Note, exam for forecasting component will be in class
COURSE DESCRIPTION:
The course is organized into two modules: Forecasting and Network Design. We will cover a
variety of logistics issues and discuss the quantitative methods and modeling approaches within
these two areas.
INSTRUCTOR:
Adrian Kumar
E-mail: kumar.400@osu.edu
Website: https://carmen.osu.edu
Adrian joined Exel in 2001 and is responsible for Exel’s logistic design capabilities servicing all
sectors including Automotive, Consumer, Energy, Life Sciences, Retail and Technology. He
manages a team of more than 50 associates working upwards of 500 projects a year requiring
solutions across various technical disciplines including warehouse designs ranging from
conventional to automated, transportation optimization, network design, inventory planning and
facilitation. Adrian has a Masters in Industrial Engineering from the University of Toronto.
OFFICE HOURS:
By appointment, before or after class
REQUIRED TEXT:
Course lecture materials will include PowerPoint slides and industry journal articles. Class
materials will be made available on Carmen for downloading/printing prior to class.
COURSE OBJECTIVE:
By the end of the course, you will:
 Be familiar with key issues in demand forecasting and several methods for developing
forecasts
 Understand how companies approach their supply chain network design in terms of:
service objectives, cost components, key drivers and industry best practices
 Understand how facility location and network design problems are modeled
 Appreciate how companies address these problems in the “real world.”
Revised on: 5/29/2016
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COURSE FORMAT
This course will be conducted using a combination of class discussion, lecture, guest speakers,
industry problems and site visits. Each lecture will cover the assigned reading. You are expected
to attend all classes and to be prepared to discuss and/or apply assigned readings. Students will
be called upon to discuss assigned topics and concepts. In addition, students are expected to
actively participate through class room, tour, and guest speaker interaction.
CLASS POINT TOTAL:
Grades will be based upon performance on the following:
Final E
Assignment
Forecasting Assignment
Forecasting Exam
Network Design Assignment
Network Design Exam
TOTAL
Percentage
20%
30%
20%
30%
ASSIGNMENT DETAILS:
Projects: There will be 2 projects one in forecasting the other in network design. Late
assignments lose 2 points per day (out of 20 points). You are allowed to work on the assignments
in teams of 2 and hand-in one assignment for both people.
We will be using the computer lab to work on the network design project using Logic Tools, but it
will also require work outside of class time. The software is Windows-based, so if you use a Mac,
you will need to buy Parallels. You must delete the software from your computer(s) at the end of
the semester. Failing to do so is a violation of IBM's licensing agreement and could expose you
to civil lawsuits.
Exams: Two separate exams will be held for forecasting and network design. You will be
supplied with a formula sheet for the first exam. The exams are not cumulative although some
materials will carry-over. Should you be sick on an exam day, you must contact the professor
more than 8 hours before the exam and schedule a make-up exam that must be taken within 2
days. You will also need to provide a doctor’s note.
Class Participation: Participation will be based on attendance, preparation for class,
appropriate in-class participation during lecture, and quality of in-class participation.
ASSIGNMENTS AND DUE DATES
You are expected to approach each assignment with the professionalism required of you in the
“real” world. This is particularly relevant for your interactions with companies and as part of
fulfilling the requirements of this course. All assignments are due at the start of class, the day of
class. Additionally, assignments can be submitted via email or hard copy any time prior to the
due date. A 50% penalty will be assessed for submissions received after the start of class to 24
hours after the assignment is due (one day late). A 100% penalty will be assessed for
submissions more than 24 hours after the assignment is due. Correct spelling, grammar, and
punctuation are expected and will be considered in the grading of all assignments.
ATTENDANCE AND TARDINESS:
I may call on students by name to answer questions, respond to in-class exercises, or to
comment on key concepts.
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ACADEMIC INTEGRITY:
All tests, written exercises, and papers are to be your own work. Academic integrity is essential
to maintaining an environment that fosters excellence in teaching, research, and other
educational and scholarly activities. Thus, the Ohio State University and the Committee on
Academic Misconduct all students have read and understand the University’s Code of Student
Conduct, and that all students will complete all academic and scholarly assignments with fairness
and honesty. Students must recognize that failure to follow the rules and guidelines established in
the University’s Code of Student Conduct and this syllabus may constitute “Academic
Misconduct.” The Ohio State University’s Code of Student Conduct (Section 3335-23-04) defines
academic misconduct as: “Any activity that tends to compromise the academic integrity of the
University, or subvert the educational process.” Examples of academic misconduct include (but
are not limited to) plagiarism, collusion (unauthorized collaboration), copying the work of another
student, and possession of unauthorized materials during an examination. Ignorance of the
University’s Code of Student Conduct is never considered an “excuse” for academic misconduct,
so I recommend that you review the Code of Student Conduct and, specifically, the sections
dealing with academic misconduct.
If I suspect that a student has committed academic misconduct in this course, I am obligated by
University Rules to report my suspicions to the Committee on Academic Misconduct. If COAM
determines that you have violated the University’s Code of Student Conduct (i.e., committed
academic misconduct), the sanctions for the misconduct could include a failing grade in this
course and suspension or dismissal from the University.
If you have any questions about the above policy or what constitutes academic misconduct in this
course, please contact me.
Other sources of information on academic misconduct (integrity) to which you can refer include:
 The Committee on Academic Misconduct web pages (oaa.osu.edu/coam/home.html)
 Ten Suggestions for Preserving Academic Integrity (oaa.osu.edu/coam/tensuggestions.html)
 Eight Cardinal Rules of Academic Integrity (www.northwestern.edu/uacc/8cards.html)
COURSE DISCLAIMER:
The schedule, policies, and assignments contained in this course syllabus or on the course
website are subject to change in the event of extenuating circumstances, class progress, or by
mutual agreement between the instructor and the students.
OTHER:
All cellular phones, pagers and other electronic communication devices are to be turned off
during class. Any electronic recording of the lecture or presentations is not authorized. The only
exceptions will be those authorized in writing by the Office of Disability Services.
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CLASS SCHEDULE:
Note: I may revise this schedule to accommodate class progress, provide a more in-depth focus,
or to take advantage of additional guest speakers should the opportunity arise. We will attempt to
stay as close to the below schedule as possible, Final exam dates will not be altered.
Week
Date
Topic
Reading
Course Syllabus
1
10/27/14
Course Overview, Syllabus, & Introduction
Introduction to Forecasting
Lecture Notes 1
Regression
Lecture Notes 2
Time Series Methods
Lecture Notes 3
Forecasting Project Handed Out
2
Lecture Notes 4
11/03/14
Timer Series Methods Advanced
Lecture Notes 5
Forecast Accuracy
3
11/10/14
Forecasting Project Due
Lecture Notes 6
Forecasting In Practice
Guest Speaker: Forecasting in Industry
4
11/17/14
Forecasting Exam
5
11/24/14
Facility Location
Lecture Notes 7
Network Design Introduction
Lecture Notes 8
Network Design Modeling
Lecture Notes 9
Network Design Project Handed Out
6
12/01/14
Intro to LogicNet & Lab
12/08/14
Parcel Networks
Lecture Notes 10
Global Networks
Lecture Notes 11
7
Guest Speaker Network Design in Industry
Network Design Project Due
8
TBD
Revised on: 5/29/2016
Network Design Exam
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Industry organizations and journal websites of general logistics interest
Source
Type
Website
MWPVL
Consulting Company
http://www.mwpvl.com/
Chicago Consulting
Consulting Company
http://chicago-consulting.com
Forecasting Education
Journal of Business Forecasting
Professional
Organization
Trade Journal
DC Velocity
Trade Journal
http://www.forecastingeducation.com/f
orecastingsoftwarereviews.asp
https://ibf.org/index.cfm?fuseaction=sh
owObjects&objectTypeID=20
http://www.dcvelocity.com
Inbound Logistics
Trade Journal
www.inboundlogistics.com
Logistics Management
Trade Journal
http://www.logisticsmgmt.com
Logistics Today
Trade Journal
http://www.logisticstoday.com
Supply Chain Brain
Trade Journal
Supply Chain Digest
Trade Journal
http://www.supplychainbrain.com/cont
ent/index.php
http://www.scdigest.com/index.php
Transport Topics
Trade Journal
www.transporttopics.com
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