BUSML 4382: LOGISTICS ANALYTICS
SPRING 2015
------------------------------------------------------------------------------------------------------------------Classes:
M, W, F | 9.10 – 10.05am | Schoenbaum Hall (SB) 305
Lab sessions in SB 219
Instructor:
Mikaella Polyviou
356 Fisher Hall
polyviou.1@buckeyemail.osu.edu
Office hours: Mondays | 10.30am – 12.30pm (or by appointment)
Carmen is the online portal for this course. Check Carmen for latest syllabus, lecture slides,
course materials, grades, news about the course, jobs, scholarships, and events. It is your
responsibility to check Carmen regularly for changes in the course materials. I will post all
lecture slides for any given class before that class day. If you do not see them, please email
me.
------------------------------------------------------------------------------------------------------------------COURSE INFORMATION
Course description and goals: BUSML 4382 is a modeling course in Logistics. The course
will examine a variety of models (forecasting, optimization, heuristic, and simulation models)
and their applications to logistics problems. The course will include two case studies on
Forecasting and Network Design and one mini case study on Network Design.
Students will learn to use MS Excel Solver to solve optimization problems. Finally, students
will learn to use IBM’s ILOG LogicNet to solve network design problems.
By the end of the course, students will:
Be familiar with several modeling problems commonly faced in logistics today.
Be able to choose, construct, and apply the appropriate mathematical models to solve
logistics problems.
Be able to understand and utilize the information provided by software used to model
and solve logistics problems to make appropriate business decisions.
Understand how companies address logistics problems in the “real world”.
Course packet and other materials:
There is an electronic course packet for the Network Design Module. I will post details
on Carmen regarding how you can access this packet before we begin this module.
Other required readings are available on-line through the OSU library system (see the
reading list), or they will be posted on the Carmen site.
Additional literature: You are expected to know what has been covered in the class
lectures, electronic course packet, required readings, and study question sets. The references
below are mentioned for the interested reader, or as extra study aid:
S. Makridakis, S. Wheelwright, and R. Hyndman, Forecasting Methods and Applications,
3d ed., New York: Wiley, 1998.
Wayne L. Winston, Operations Research: Applications and Algorithms, 4th ed.,
Duxburry Press, 2003 (there are several good operations research books on the market,
this is just one)
S. Chopra and P. Meindl, Supply Chain Management: strategy, planning, and operation,
2nd ed., Upper Saddle River: Prentice Hall, 2004. (Chapters 5, 7, 14)
D. Simchi-Levi, P. Kaminsky, and E. Simchi Levi, Designing and Managing the Supply
Chain: concepts, strategies, and case studies, 2nd ed., New York: McGraw Hill, 2003.
(Chapters 2, 3.3-3.7)
J. Shapiro, Modeling the Supply Chain, Pacific Grove: Duxbury, 2001 (Chapters 3, 4, 6)
Other readings that can supplement some of the lectures are available upon request.
Teaching format: The course will be taught via a combination of lectures, discussions of
readings assigned before and/or during class, and individual/team-based work. Classes will
be as interactive as possible. Everyone is expected to participate in class and to prepare by
reading the appropriate assigned readings prior to the class meeting. Students may be called
upon by name to discuss assigned topics and concepts.
------------------------------------------------------------------------------------------------------------------COURSE EVALUATION
Grade distribution: I will base your grades on the following allocation system:
Exam 1
Exam 2
Exam 3
Forecasting Case
Network Design Case I
Network design Case II
25 points
25 points
20 points
10 points
5 points
15 points
*Extra credit: Up to 5 points
I will determine the exact cutoffs at the end of the semester. However, the following are,
approximately, what I expect the ranges of the final grades to look like:
A
AB+
B
BC+
C
CD+
D
E
>
[86,
[83,
[79,
[75,
[69,
[66,
[64,
[62,
[60,
<
89
89]
85]
82]
78]
74]
68]
65]
63]
61]
60
*Note: Please monitor your grades throughout the semester and contact me early (not at the
last minute) to discuss your progress and address any concerns.
Exams: All exams will be closed-book and closed-notes. You will be provided a formula
sheet with all the required formulas on it, if that is necessary.
*Absences that are not pre-arranged or covered by a valid excuse (per University policy) will
result in a grade of zero for the exam. Students who show up late for an exam will only have
the remaining time in the individual part of the exam period to complete the exam – they
will not be given additional time.
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*Makeup exams for scheduled exams missed by a student will not be administered unless the
student has received prior approval by the instructor. A documented excuse will be required
indicating either a valid medical or personal reason. Makeup exams may be in a different
format than the exams taken by the class during regularly scheduled exam periods.
The only acceptable reasons for missing an exam are:
Death in the family
Unforeseen medical emergency
Case #1 | Forecasting Case: During the Forecasting module of this course, you need to
solve the Mahindra & Mahindra case study. This case requires extensive use of Microsoft
Excel to compare and select the most appropriate forecasting method. You should form
teams of three, solve the case as a team, and hand in one write-up for the team.
On the second week of the semester, I will introduce the case, provide case questions,
guidelines, and answer questions. The case is available for purchase from Ivey publishing
here:
https://www.iveycases.com/ProductView.aspx?id=60877
(You can buy one case per team)
Case #2 | Network Design Case I: The primary goal for this case is to get you started on
using IBM’s ILOG LogicNet, which we will mainly be using for Network Design Case II.
This case requires individual effort. You will be working on the case in class during the first
lab session. You need to submit a write-up regarding the results you get and what you make
of those results. I will upload more detailed instructions for the case on Carmen closer to the
lab sessions.
Case #3 | Network Design Case II: You will use lab time to work on this case using
IBM’s ILOG LogicNet. I will introduce the software on the first lab-day and you will have
six “lab-days” to work on the case. However, you can (and should) work on this case beyong
the lab-hours of this class. You need to solve the case as a team and hand in one write-up for
the team. Please work in the same team as the one for Case #1.
*Note on Teams: You will choose your team members for Cases #1 and #3 on your own.
Assign one person to communicate the team members to the instructor by the end of the
first week of the semester. Team sizes are limited by the class size, as depicted on the signup
sheet (three members). Choose wisely! The issue of team dynamics, free ridership, and
conflict resolution are as real for you here as they are in the real world.
Study Question Sets: I will upload 7 study question sets (SQS) and their corresponding
solution sets on Carmen. I encourage you to do them all as we cover the material, but I will
not grade you on these so you do not have to hand them in.
The purpose of these question sets is to get you used to the types of questions you may face
in the exams and get you prepared for the exams. Use these question sets wisely! I will be
available during office hours or by appointment to discuss any questions you may have.
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Opportunities for extra credit: Logistics inside and outside the classroom (up to 5
points): You have the opportunity to gain up to five additional points in the following ways:
Tell me something interesting about the readings: You will receive 0.5 points each
time you write a one-page write-up on what you have learned or what you found
interesting from the readings.
TLA meetings: The Transportation and Logistics Association (TLA) meets at 7:15 pm
on Tuesdays. You will receive 0.5 points each time you attend a meeting and then submit
a one-page write-up on what you learned.
------------------------------------------------------------------------------------------------------------------MY GROUND RULES
Class attendance: Class attendance is not mandatory for this course but it is highly
encouraged. I will only take attendance during the first two weeks of class or until the class
roster stabilizes.
Students will be responsible for all material posted on Carmen, covered in required readings,
and discussed during the lectures. If you miss a class, do not ask me for information/class
notes regarding what you have missed. Please ask your fellow students.
Nameplates: It is important that I learn to match names and faces. I need your help. I will
expect you to use a nameplate every day we meet, especially on exam days.
Late policy: Any late assignments lose 20% of their declared value for every 24 hours that
they are late after being due. Example: 20 minutes late means 20% off. 26 hours means 40%.
Grade Appeal Policy: Any re-grading request should be submitted in writing (e-mail) within
1 week after receipt of the grading and should include a brief explanation of your reasoning.
I reserve the right to review the entire assignment or homework, up or down.
Feedback: Your feedback is valuable and it motivates continuous course improvement.
Please do not hesitate to let me know, throughout the semester, how I can enhance your
learning experience.
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 (COAM) expect that 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.”
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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.
Disabilities: If you feel that you need an accommodation based on the impact of a
disability, please contact me privately to discuss your needs in the first two weeks of the
class. Also, contact the Office for Disability Services (ODS) at (614) 292-3307 or visit them
at 150 Pomerene Hall. ODS will coordinate all accommodations for students with
documented disabilities.
Recording: Audio, video, or still photograph recording of lectures on any media, permanent
or temporary, without permission is not allowed. The only exceptions will be those
authorized in writing by the Office for Disability Services (see above). The presence, or even
suggestion, of recording in a classroom discourages openness and spontaneity in students
and the instructor.
Other: All cellular phones, pagers, and other electronic communication devices need to be
turned off during class.
Laptop computers are allowed for the purposes of note taking. However, at any point I
reserve the privilege to ask that all laptops be closed if these devices are deemed a
distraction.
Course disclaimer: This syllabus is an outline for the course and the instructor can change
it based on extenuating circumstances, class progress, or by mutual agreement between the
instructor and the students.
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CLASS SCHEDULE
*Subject to change with prior notice
Week Day Date Topic
1
M 1/12 Introduction and Overview
W 1/14 Introduction to Forecasting
F
1/16 Forecasting I: "Simple" time-series methods
2
M 1/19 No class (Martin Luther King Day)
W 1/21 Forecasting II: Exponential Smoothing method
F
1/23 Forecasting III: Holt's, Winter's, and Holt-Winter's methods
3
M 1/26 Forecasting IV: Regression analysis
W 1/28 Forecast Accuracy
F
1/30 Exam review
4
M
2/2 Forecasting in Practice
W
2/4 EXAM 1
F
2/6 Guest lecture: Demand Management
5
M
2/9 Introduction to Optimization
W 2/11 Linear Programming I
F
2/13 Linear Programming II
6
M 2/16 Linear Programming using MS Excel Solver
W 2/18 Integer Programming I
F
2/20 Integer Programming II
7
M 2/23 Integer Programming III
W 2/25 Introduction to Heuristics
F
2/27 Introduction to Simulation
8
M
3/2 Simulation I
W
3/4 Simulation II
F
3/6 Exam review
9
M
3/9 EXAM 2
W 3/11 Inventory Management I
F
3/13 Inventory Management II
10
M 3/16 No class (Spring Break)
W 3/18 No class (Spring Break)
F
3/20 No class (Spring Break)
11
M 3/23 Inventory Management III
W 3/25 Routing Problems I
F
3/27 Routing Problems II
12
M 3/30 Vehicle Routing Problems I
W
4/1 Vehicle Routing Problems II
F
4/3 Facility Location Problems
13
M
4/6 Introduction to Network Design
W
4/8 Introduction to ILOG LogicNet (SB 219)
F
4/10 Work on Network Design case II (SB 219)
14
M 4/13 Work on Network Design case II (SB305 mobile lab)
Readings
Due
SQS #1
SQS #2
#1
Case #1
#2, #3
SQS #3
SQS #4
#4
SQS #5
SQS #6
SQS #7
#5, #6, #7
Case #2
6
15
16
W
F
M
W
F
M
F
4/15
4/17
4/20
4/22
4/24
4/27
5/1
Work on Network Design case II (SB305 mobile lab)
Work on Network Design case II (SB305 mobile lab)
Work on Network Design case II (SB 219)
Work on Network Design case II (SB 219)
Network Design in Practice
Exam review (Last day of class)
EXAM 3 (10 - 11.45am)
#8, #9
Case #3
READING LIST
1. Robeano, S. 1991. Demand forecasting: Reality vs. theory or what would I really do
differently, if I could forecast demand. National Management Science Roundtable,
Nashville, TN.
2. Optimization Methods in Management Science/Operations Research: Excel Techniques
– Tool for Solving a Linear Program (2013). MIT OpenCourseWare. 15.053/058
http://ocw.mit.edu/courses/sloan-school-of-management/15-053-optimizationmethods-in-management-science-spring-2013/tutorials/MIT15_053S13_tut03.pdf
3. Solver installation reference:
http://depts.washington.edu/mbaclub/wordpress/wpcontent/uploads/2013/07/Tutorial-Adding-Solver-Excel-2013.pdf
4. Evers, P. T. and Wan, X. 2012. Systems analysis using simulation. Journal of Business
Logistics, 33(2), 80-89.
5. Watson, M. 2013. Supply chain network design: Applying optimization and analytics to
the global supply chain. Pearson Education. Chapter 1 (in electronic course packet)
6. Watson, M. 2013. Supply chain network design: Applying optimization and analytics to
the global supply chain. Pearson Education. Chapter 12 (in electronic course packet)
7. Watson, M. 2013. Supply chain network design: Applying optimization and analytics to
the global supply chain. Pearson Education. Chapter 13 (in electronic course packet)
8. Robinson, E. P., Gao, L. L., and Muggenborg, S. D. 1993. Designing an integrated
distribution system at DowBrands, Inc. Interfaces, 23(3), 107-117
9. Cheung, W., Leung, L. C., and Wong, Y. M. 2001. Strategic service network design for
DHL Hong Kong. Interfaces, 31(4), 1-14.
*Note: All articles (except #1) can be found on the OSU Library website. To find them online:
Go to www.library.osu.edu and log in using your OSU credentials.
Click on ‘Online Journals List’ and type the title of the Journal you are looking for.
Conduct a search using the author, the article title, or the publication year. Once you find
the article, you should be able to click on "PDF Full Text" to download the article in pdf
format.
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