Chun Cheng

TL;DR: This paper solves a multi-trip drone routing problem, where drones’ energy consumption is modeled as a nonlinear function of payload and travel distance and uses a 2-index formulation to model the problem and develops a branch-and-cut algorithm for the formulation.

TL;DR: In this article, a green inventory routing problem with a heterogeneous fleet is introduced, where a comprehensive objective is proposed to minimize the sum of inventory cost and routing cost, where the latter includes driver wage, vehicle fixed cost, fuel and emission costs, in which fuel consumption and emissions are determined by load, distance, speed and vehicle characteristics.

TL;DR: A hybrid genetic algorithm based on allocation first and routing second is proposed to find near-optimal solutions for the traditional inventory routing problem (IRP), wherein carbon emissions are generated by fuel consumption.

TL;DR: This paper examines a three-echelon logistics network in which all supply and transshipment nodes are subject to disruption, and constructs three two-stage robust models, which are solved exactly by a column-and-constraint-generation algorithm.

TL;DR: To model a robust fixed-charge location problem under uncertain demand and facility disruptions, a two-stage robust optimization framework is adopted, where the first-stage location decision is made here-and-now and the second-stage allocation decision can be deferred until the uncertainty information is revealed.