Scheduling the truckload operations in automated warehouses with alternative aisles for pallets

Didem Cinar*, José António Oliveira, Y. Ilker Topcu, Panos M. Pardalos

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Makalebilirkişi

16 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)566-574
Sayfa sayısı9
DergiApplied Soft Computing
Hacim52
DOI'lar
Yayın durumuYayınlandı - 1 Mar 2017

Bibliyografik not

Publisher Copyright:
© 2016 Elsevier B.V.

Parmak izi

Scheduling the truckload operations in automated warehouses with alternative aisles for pallets' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap