Routing and scheduling of unmanned aerial vehicles subject to cyclic production flow constraints

G. Bocewicz*, P. Nielsen, Z. Banaszak, A. Thibbotuwawa

*Kontaktforfatter

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23 Citationer (Scopus)

Abstract

The focus is on a production system in which material handling operations are carried out by a fleet of UAVs. The problem formulated for the considered case of cyclic multi-product batch production flow is a material handling cost problem. To solve this problem, it is necessary to designate the routes and the corresponding schedules for vehicles that make up the given UAV fleet. The aim is to find solutions that minimizes both the UAV downtime and the takt time of the cyclic production flow in which operations are performed by the UAVs. A declarative model of the analyzed case was used. This approach allows us to view the problem as a constraint satisfaction problem and to solve it in the OzMozart constraint programming environment.

OriginalsprogEngelsk
TitelDistributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference
RedaktørerSara Rodríguez, Javier Prieto, Pedro Faria, María N. Moreno, Santiago Mazuelas, Elena M. Navarro, Slawomir Klos, Alberto Fernández, M. Dolores Jiménez-López
Antal sider12
ForlagSpringer
Publikationsdato1 jan. 2019
Sider75-86
ISBN (Trykt)978-3-319-99607-3
ISBN (Elektronisk)978-3-319-99608-0
DOI
StatusUdgivet - 1 jan. 2019
Begivenhed15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018 - Toledo, Spanien
Varighed: 20 jun. 201822 jun. 2018

Konference

Konference15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018
Land/OmrådeSpanien
ByToledo
Periode20/06/201822/06/2018
NavnAdvances in Intelligent Systems and Computing
Vol/bind801
ISSN2194-5357

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