Sequencing approaches for multiple-aisle automated storage and retrieval systems

Authors: Gagliardi, Jean-Philippe; Renaud, Jacques; Ruiz, Angel
Abstract: Automated storage and retrieval systems (AS/RS) are used in high velocity distribution centres to provide accurate and fast order processing. While almost every industrial system is comprised of many aisles, most of the academic research on the operational aspects of AS/RS is devoted to single-aisle systems, probably due to the broadly accepted hypothesis proposing that an m aisles system can be modelled as m 1-aisle independent systems. In this article, we present two multi-aisles sequencing approaches and evaluate their performance when all the aisles are managed independently first, and then in a global manner. Computational experiments conducted on a multi-aisle AS/RS simulation model clearly demonstrate that a multi-aisle system cannot be accurately represented by multiple single-aisle systems. The numerical results demonstrate that, when dealing with random storage, globally sequencing multi-aisle AS/RS leads to makespan reductions ranging from 14 to 29% for 2- and 3-aisle systems, respectively
Keywords: automated storage and retrieval systems; multi-aisle; sequencing; simulation
Document Type: Article de recherche
Issue Date: 18 February 2015
Open Access Date: 18 February 2016
Document version: AM
Permalink: http://hdl.handle.net/20.500.11794/354
This document was published in: International journal of production research, Vol. 53 (19), 5873–5883
https://doi.org/10.1080/00207543.2015.1012600
Taylor & Francis
Alternative version: 10.1080/00207543.2015.1012600
1072954
Collection:Articles publiés dans des revues avec comité de lecture

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