Dynamic Dispatch for Same-Day Delivery

creative commons licensed ( BY ) flickr photo shared by (vincent desjardins)

Last week's Friday seminar featured Georgia Tech professor (and ITS Berkeley alum) Alan L. Erera presenting his work in the area of dynamic dispatching for same-day deliveries, focusing on the last mile problem. He briefly mentioned that he would not be discussing drones because they are not as efficient as trucks due to batching (and the new FAA regulations make them even more unfeasible). Erera focused on optimizing delivery dispatch multiple times throughout the day with prediction of when new orders may arrive and how to route the deliveries. Here are his slides so you can experience the talk all over again (without cookies).

Truck Emissions at Container Terminals

Port of Singapore

Freight and transportation are large producers of emissions and considered a good area to target for emissions reduction. How though? A new paper from Transportation Research Part E: Logistics and Transportation Review examines how queing optimization can help. "Reducing truck emissions at container terminals in a low carbon economy: Proposal of a queueing-based bi-objective model for optimizing truck arrival pattern," estimate emissions produced during truck idling and wait times at ports. 

This study proposes a methodology to optimize truck arrival patterns to reduce emissions from idling truck engines at marine container terminals. A bi-objective model is developed minimizing both truck waiting times and truck arrival pattern change. The truck waiting time is estimated via a queueing network. Based on the waiting time, truck idling emissions are estimated. The proposed methodology is evaluated with a case study, where truck arrival rates vary over time. We propose a Genetic Algorithm based heuristic to solve the resulting problem. Result shows that, a small shift of truck arrivals can significantly reduce truck emissions, especially at the gate.

You can read the full paper here


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