Automating the planning of container loading for Atlas Copco: Coping with real-life stacking and stability constraints

Jonas Olsson, Torbjörn Larsson and Nils-Hassan Quttineh

European Journal of Operational Research, 2020, vol. 280, issue 3, 1018-1034

Abstract: The Atlas Copco☆ distribution center in Allen, TX, supplies spare parts and consumables to mining and construction companies across the world. For some customers, packages are shipped in sea containers. Planning how to load the containers is difficult due to several factors: heterogeneity of the packages with respect to size, weight, stackability, positioning and orientation; the set of packages differs vastly between shipments; it is crucial to avoid cargo damage. Load plan quality is ultimately judged by shipping operators.

Keywords: Logistics; Packing; Decision support systems; Metaheuristics (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:280:y:2020:i:3:p:1018-1034

DOI: 10.1016/j.ejor.2019.07.057

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