Benders decomposition uses a strategy of``learning from one's mistakes.''The aim of this
paper is to extend this strategy to a much larger class of problems. The key is to generalize …

Collaborative vehicle routing of multiple logistics providers is an important component of
horizontal logistic collaboration that generates economic and societal benefits. Existing …

We investigate the discrete parallel machine scheduling and location problem, which
consists of locating multiple machines to a set of candidate locations, assigning jobs from …

The parallel processor scheduling and bin packing problems with contiguity constraints are
important in the field of combinatorial optimization because both problems can be used as …

In this paper, we focus on exact methods to solve the preemptive flexible job-shop
scheduling problem with makespan minimisation objective function. Mathematical and …

In response to increasingly fierce competition and highly customized demands, many
companies adopt a distributed production model but manage their orders in a centralized …

The number of shipped parcels is continuously growing and e-commerce retailers and
logistics service providers are seeking to improve logistics, particularly last-mile delivery …

We consider a real-world three-dimensional container loading problem in which the
objective is to maximize the volume of the items packed into a single vehicle. While …

We address the one-dimensional bin packing problem with concave loading cost (BPPC),
which commonly arises in less-than-truckload shipping services. Our contribution is twofold …

In the rapidly evolving e-commerce landscape, efficient packaging and logistics reduce
costs and enhance customer satisfaction. This study addresses the problem of dynamic bin …