This course covers quantitative approaches to logistics management. It teaches network optimization techniques and center gravity models for location analysis, mathematical programming for selecting the optimal transportation modality, statistical distributions for modeling the statistical uncertainty around the arrivals of trucks to a warehouse or a store, and inventory modeling for optimizing distribution centers. The course introduces mathematical models for warehouse layout decisions, learning curve models, and logistics network design in the context of today's increasingly digitalized supply networks.
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Mayer |
COM 213 |
W 6:00 pm-8:45 pm |
|
FALL 2023 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
O1 |
Tayaksi |
ROOM |
ARR TBD-TBD |
On-line course |
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
A1 |
Staff |
STH |
F 11:15 am-2:00 pm |
|
SPRG 2024 Schedule
Section |
Instructor |
Location |
Schedule |
Notes |
O1 |
Staff |
|
ARR TBD-TBD |
On-line course |
Note that this information may change at any time. Please visit the Student Link for the most up-to-date course information.