Optimal NC Location

ISE 754: Logistics Engineering

Fitts Department of Industrial and Systems Engineering
North Carolina State University

[ Schedule | Slides | Syllabus | Matlog ]

Summer 2018
Instructors
Office
Telephone
Email
Office Hours
Michael G. Kay
DAN 306
515-2008
kay@ncsu.edu
By appointment
TA: Ramin Ahmed

rahmed2@ncsu.edu

This course will present the fundamental quantitative approaches that are used in the design and control of logistics systems, including modeling issues, design concepts, computational considerations, and the use of commercial software packages. This quantitative, or engineering, approach to logistics is meant to complement that of business logistics, which is concerned with the management of logistics processes and relationships.

Note: All assignments should be submitted using Moodle.


Web References

Matlab and Gurobi

Matlab is available in all of the Eos and Unity computing labs on campus and a student version is available for download to your personal computer (we will be using version R2017b). Gurobi is available for download for students, with a one-year license for the full-featured, no-size-limit version of the software (we will be using version 7.5.1).

Math Programming Solvers

Transportation

Geocoding and Mapping

TSP and VRP

Warehousing

Misc.