Work

Solving Logistic-Oriented Bin Packing Problems Through a Hybrid Quantum-Classical Approach

Year: 2023

Type: conference-paper

Abstract: The Bin Packing Problem is a classic problem with wide industrial applicability. In fact, the efficient packing of items into bins is one of the toughest challenges in many logistic corporations and is a critical issue for reducing storage costs or improving vehicle space allocation. In this work, we resort to our previously published quantum-classical framework known as Q4RealBPP, and elaborate on the solving of real-world oriented instances of the Bin Packing Problem. With this purpose, this paper gravitates on the following characteristics: i) the existence of heterogeneous bins, ii) the extension of the framework to solve not only three-dimensional, but also one- and two-dimensional instances of the problem, iii) requirements for item-bin associations, and iv) delivery priorities. All these features have been tested in this paper, as well as the ability of Q4RealBPP to solve real-world oriented instances.

Source: IEEE International Conference on Intelligent Transportation Systems (ITSC)

DOI: 10.1109/itsc57777.2023.10422581

Authors: Sebastián V. Romero, Eneko Osaba, Esther Villar-Rodriguez, Antón Asla

Institution: Tecnalia

Language: English

Topic: Optimization and Packing Problems

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Centro para el Desarrollo Tecnológico Industrial, Eusko Jaurlaritza

Award: G515756945