MASTER OF BUSINESS LOGISTICS ENGINEERING

7382 LOGISTICS ANALYTICS

COURSE SYLLABUS

Term:

Autumn 2016, Session 2 (10/17/16 – 12/05/16)

Course TITLE:

BUS M&L 7382, Logistics Analytics

Course TIME/PLACE:

Lectures: Gerlach Hall 0265, Monday, 6:00 PM to 9:15 PM

Exam: Monday, December 5, 2016 at 6:00 p.m. in Gerlach Hall 0265

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.

Lecture Notes: https://carmen.osu.edu

INSTRUCTORS:

Adrian Kumar

E-mail:

Adrian joined DHL in 2001 and is responsible for DHL’s North American Solutions Design team, which provides supply chain solutions to all business units including: Automotive, Consumer, Energy, Life Sciences, Retail and Technology. Leading a team that develops solutions for upwards of 500 projects a year, Adrian oversees a diverse range of projects ranging from conventional to automated warehouses, multi-modal transport, network designs, inventory planning and implementation support. Globally Adrian is responsible for the Facility Design and Transportation practice which governs training and best practices among DHL’s community of 300+ design professionals. Adrian has a Masters in Industrial Engineering from the University of Toronto.

Sicheng He

Email:

Sicheng (Tim) joined Exel’s Solutions Design team in 2014 as a graduate intern from the Ohio State University. Tim supports various pursuit and implementation projects, most recently completing a design for an Omni channel fulfillment customer handling over 50K diverse items. Tim is DHL’s subject matter expert in Collaborative Robotics, leading pilot studies in several operations and conducting ongoing R&D work with the corporate innovation center in Germany.

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.”

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:

Assignment /
Percentage
Forecasting Assignment / 15%
Network Design Assignment / 15%
Project (Presentation & Report) / 35%
Final Exam / 35%
TOTAL / 100

ASSIGNMENT DETAILS:

Assignments: There will be two assignments one in forecasting and network design. Late assignments lose 2 points per day (out of 20 points). The assignments are to be worked independently.

Class Project: The class project will combine elements of forecasting and network design. You are allowed to work on the assignments in teams of 3 and hand-in one assignment. Teams will present their assignments on either 11/21 or 11/28. Teams presenting on 11/21 should use the wk1 data set and teams presenting on 11/28 the wk 2 data set. Network design software will be required for the case study. Your have the option of using LogicTools in the computer lab or can download a 15-day free trial of the premium solver within MS Excel at http://www.solver.com/upgrade-excel-solver.

Exams: One joint exam will be held for forecasting and network design. You will be permitted 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.

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/ten-suggestions.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.

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
1 / 10/17/16 / Course Overview, Syllabus, & Introduction / Course Syllabus
Introduction to Forecasting / Lecture Notes 1
Regression / Lecture Notes 2
Time Series Methods / Lecture Notes 3
2 / 10/24/16 / Timer Series Methods Advanced / Lecture Notes 4
Forecast Accuracy / Lecture Notes 5
Forecasting In Practice / Lecture Notes 6
3 / 11/2/16
7:30-8:30 SB305
(Note location due to a scheduling conflict) / Forecasting Assignment Due
Facility Location / Lecture Notes 7
Network Design Introduction / Lecture Notes 8
Network Design Modeling / Lecture Notes 9
4 / 11/07/16 / Project Work
Guest Speaker
Advanced Networks (Service Parts) – Guest Speaker / Lecture Notes 10
5 / 11/14/16 / Network Design Assignment Due
Parcel Networks / Lecture Notes 11
Global Networks / Lecture Notes 12
6 / 11/21/16 / Project Presentations – wk 1 data set
7 / 11/28/16 / Project Presentations wk 2 data set
Project Due
7 / 12/5/16 / Final Exam: In Class

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 / Professional Organization / http://www.forecastingeducation.com/forecastingsoftwarereviews.asp
Journal of Business Forecasting / Trade Journal / https://ibf.org/index.cfm?fuseaction=showObjects&objectTypeID=20
DC Velocity / Trade Journal / 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 / http://www.supplychainbrain.com/content/index.php
Supply Chain Digest / Trade Journal / http://www.scdigest.com/index.php
Transport Topics / Trade Journal / www.transporttopics.com

Revised on: 9/9/2016 Page 4 of 5