Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines

Mukund Nilakantan Janardhanan*, Peter Nielsen, S. G. Ponnambalam

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

4 Citationer (Scopus)

Abstract

This paper focuses on implementing particle swarm optimization (PSO) to optimize the robotic assembly line balancing (RALB) problems with an objective of maximizing line efficiency. By maximizing the line efficiency, industries tend to utilize their resources in an efficient manner. In this paper, two layout configurations of robotic assembly lines are proposed. In this robotic assembly line balancing problem, the tasks are assigned to the workstations and the efficient robots to perform the assigned tasks are chosen based on the objective of maximizing line efficiency. Performance of the proposed PSO algorithm is evaluated on benchmark problems and compared with the best known results reported in the literature. Computational time of the proposed algorithm is better than the one reported in the literature. Comparative studies on the performance of the two layouts are also done and the results are reported.

OriginalsprogEngelsk
TitelDistributed Computing and Artificial Intelligence, 13th International Conference
RedaktørerSigeru Omatu, Ali Semalat , Grzegorz Bocewicz , Paweł Sitek , Izabela E. Nielsen , Julián A. García García, Javier Bajo
Antal sider9
Vol/bind474
ForlagSpringer
Publikationsdato2016
Sider525-533
ISBN (Trykt)978-3-319-40161-4
ISBN (Elektronisk)978-3-319-40162-1
DOI
StatusUdgivet - 2016
Begivenhed13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016 - Sevilla, Spanien
Varighed: 1 jun. 20163 jun. 2016

Konference

Konference13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016
Land/OmrådeSpanien
BySevilla
Periode01/06/201603/06/2016
SponsorFidetia, IBM, IEEE SMC Spain, Indra
NavnAdvances in Intelligent Systems and Computing
Vol/bind474
ISSN1615-3871

Emneord

  • Line efficiency
  • Assembly line layouts
  • Cycle time
  • Particle swarm optimization

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