Logistics Networks in the Age of Autonomous Vehicles
What is the best way for a autonomous vehicle (AV) to move from the assembly plant to the dealer? That was the problem posed by General Motors in this year’s OR & Analytics Student Competition. Student teams from around the world submitted their solutions to this problem, and the six finalists will present their results on Monday starting at 9:10 am in Rooms 310 & 311. Please join us to see how the teams designed the automotive distribution network of the future.
AV’s have the potential to dramatically change the finished vehicle delivery and operating processes. For example, an AV could drive itself within the plant yard and vehicle distribution center (VDC), and load itself onto a trailer or rail car, which would significantly reduce the handling time. If the plant yard or VDC runs out of space, an AV could temporarily park itself in a nearby parking space. More importantly, an AV could drive itself to the dealer and reduce the last mile delivery costs. It could also drive itself to nearby hubs to consolidate loads. Essentially, an AV can be treated as a new transportation mode enabling more flexible logistics network operations and decreasing order fulfillment time and cost. A constraint is that an AV can drive no more than 300 miles and still be sold as a new car.
To see how the six finalists tackled this challenging, problem please join us for some or all the presentations from 9:10 to 1:00 on Monday. After the final presentation a team of judges will select the winning team, which will be announced at lunch on Tuesday.
Hope to see you there!