Can ML Help in Solving Cargo Capacity Management Booking Control Problems

Explore cargo capacity management and booking control problems in this 27-minute conference talk from the Deep Learning and Combinatorial Optimization 2021 event. Delve into revenue management for carriers, focusing on the less-studied area of cargo capacity management. Learn about the challenges of controlling booking accept/reject decisions with limited capacity, and discover how the problem can be formulated as a finite-horizon stochastic dynamic program. Examine the computational complexities involved in fulfilling accepted bookings, including packing and routing solutions. Investigate an exploratory approach using supervised learning to predict solution costs for discrete optimization problems, and see how these predictions can be applied in approximate dynamic programming algorithms. Gain insights from Emma Frejinger's research, conducted in collaboration with Justin Dumouchelle and Andrea Lodi at École Polytechnique Montréal, as she discusses the potential of machine learning in solving these complex logistics challenges.

Intro
PARCEL DELIVERY IS BOOMING
A STYLIZED VIEW OF CARGO CAPACITY MANAGEMENT
BOOKING CONTROL PROBLEM - SPOT MARKET
BID-PRICE POLICIES FOR CARGO BOOKING CONTROL
EXPLORATORY WORK
SUPERVISED LEARNING
DISTRIBUTION LOGISTICS
SOLUTION QUALITY 4 LOCATIONS