Motion and layout planning in a grid-based early baggage storage system

Altan Yalcin (), Achim Koberstein () and Kai-Oliver Schocke ()
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Altan Yalcin: European University Viadrina Frankfurt (Oder)
Achim Koberstein: European University Viadrina Frankfurt (Oder)
Kai-Oliver Schocke: Frankfurt University of Applied Sciences

OR Spectrum: Quantitative Approaches in Management, 2019, vol. 41, issue 3, No 4, 683-725

Abstract: Abstract Grid-based storage systems consist of many adjacent square cells arranged in a rectangular grid. Cells are either empty or occupied by a storage item. Items are stored on conveyors and are movable simultaneously and independently into the four cardinal directions. This technology allows for very dense storage. Previous research on grid-based storages has mainly focused on retrieval performance analysis of a single storage item. In this paper, we contribute a framework for the efficient storage and retrieval of a large number of storage items based on a multi-agent routing algorithm. We evaluate the framework using different storage and retrieval strategies in a simulation-based case study, in which we design and analyze a grid-based early baggage storage system at a major German airport.

Keywords: Grid-based storage; Puzzle-based storage; High-density storage; Multi-agent routing; Simulation; Airport logistics; Early baggage storage (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s00291-018-0545-z

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