On sequencing policies for unit-load automated storage and retrieval systems

Authors: Gagliardi, Jean-PhilippeRenaud, JacquesRuiz, Angel
Abstract: Automated Storage and Retrieval System (AS/RS) performance high ly depends on the characteristics of the mechanical equipment. However, once the system has been physically implemented, achieving its maxim um efficiency depends on the wa y the system is operated. This paper it shows that request sequencing (i.e., planning the orde r in which storage and retrieval requests are performed) is of p aramount importance in AS/RS per formance. This paper reviews and adapts the most popular storage and sequencing policies to dynamic contexts, and then it proposes a “sequencing mathematical model” (SMM) to simultaneou sly solve the sequencing and storage location problems. Extensive computational results based on a thorough simulation experiment plan confirm that performing the requests in the rig ht sequence can have a positive impact on AS/RS performance. O ur results show that the proposed sequencing mathematical model regularly outperforms other methods. When used in a dynam ic context, the proposed SMM may yield up to a 25% reducti on in average travel-time comp ared to the situation where a no-sequencing method is applied.
Document Type: Article de recherche
Issue Date: 14 September 2013
Open Access Date: 21 September 2016
Document version: AM
Permalink: http://hdl.handle.net/20.500.11794/10148
This document was published in: International journal of production research, Vol. 52 (4), 1090-1099 (2014)
https://doi.org/10.1080/00207543.2013.838331
Taylor & Francis
Alternative version: 10.1080/00207543.2013.838331
Collection:Articles publiés dans des revues avec comité de lecture

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