Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/55092

TitleScheduling the trucload operations in automated warehouses with alternative aisles for pallets
Author(s)Cinar, Didem
Oliveira, José A.
Topcu, Y. Ilker
Pardalos, Panos M.
KeywordsAutomated storage and retrieval systems
Truckload operations scheduling
Flexible job shop scheduling
Genetic algorithms
Issue dateMar-2017
PublisherElsevier Science BV
JournalApplied Soft Computing
Abstract(s)In this study, the scheduling of truck load operations in automated storage and retrieval systems is investigated. The problem is an extension of previous ones such that a pallet can be retrieved from a set of alternative aisles. It is modelled as a flexible job shop scheduling problem where the loads are considered as jobs, the pallets of a load are regarded as the operations, and the forklifts used to remove the retrieving items to the trucks are seen as machines. Minimization of maximum loading time is used as the objective to minimize the throughput time of orders and maximize the efficiency of the warehouse. A priority based genetic algorithm is presented to sequence the retrieving pallets. Permutation coding is used for encoding and a constructive algorithm generating active schedules for flexible job shop scheduling problem is applied for decoding. The proposed methodology is applied to a real problem arising in a warehouse installed by a leading supplier of automated materials handling and storage systems.
TypeArticle
URIhttp://hdl.handle.net/1822/55092
DOI10.1016/j.asoc.2016.10.013
ISSN1568-4946
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em revistas internacionais/Papers in international journals

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