L Wei, M Lai, A Lim, Q Hu - European Journal of Operational Research, 2020 - Elsevier
The two-dimensional vector packing problem is a well-known generalization of the classical bin packing problem. It considers two attributes for each item and bin. Two capacity …
T Gschwind, S Irnich - INFORMS Journal on Computing, 2016 - pubsonline.informs.org
Column generation (CG) models have several advantages over compact formulations: they provide better linear program bounds, may eliminate symmetry, and can hide nonlinearities …
This paper considers packing and cutting problems in which a packing/cutting pattern is constrained independently in two or more dimensions. Examples are restrictions with …
T Wang, Q Hu, A Lim - European Journal of Operational Research, 2022 - Elsevier
The volumetric weight of a package has become an essential factor in calculating the delivery cost of shipments in the international logistics market. In this work, we extend the …
Abstract Heuristics for Vector Bin Packing (VBP) play an important role in modern distributed computing systems and other applications aimed at optimizing the usage of …
Modern markets demand mass customization, that is, the manufacture of customized products at low cost. Mass customization represents a major challenge for the organization …
We consider a scheduling problem where jobs consume a perishable resource stored in vials. It leads to a new scheduling problem, with two-dimensional jobs, one dimension for …
The 2-constraint bin packing problem consists in packing a given number of items, each one characterised by two different but not related dimensions, into the minimum number of bins …
The concept of dual-feasible function (DFF) has been used to improve the resolution of several combinatorial optimization problems involving knapsack inequalities like cutting and …