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

Mukund Nilakantan Janardhanan; Peter Nielsen; S. G. Ponnambalam

doi:10.1007/978-3-319-40162-1_56

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

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

^*Corresponding author for this work

Operations Research

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

5 Citations (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.

Original language	English
Title of host publication	Distributed Computing and Artificial Intelligence, 13th International Conference
Editors	Sigeru Omatu, Ali Semalat , Grzegorz Bocewicz , Paweł Sitek , Izabela E. Nielsen , Julián A. García García, Javier Bajo
Number of pages	9
Volume	474
Publisher	Springer
Publication date	2016
Pages	525-533
ISBN (Print)	978-3-319-40161-4
ISBN (Electronic)	978-3-319-40162-1
DOIs	https://doi.org/10.1007/978-3-319-40162-1_56
Publication status	Published - 2016
Event	13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016 - Sevilla, Spain Duration: 1 Jun 2016 → 3 Jun 2016

Conference

Conference	13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016
Country/Territory	Spain
City	Sevilla
Period	01/06/2016 → 03/06/2016
Sponsor	Fidetia, IBM, IEEE SMC Spain, Indra

Series	Advances in Intelligent Systems and Computing
Volume	474
ISSN	1615-3871

Keywords

Assembly line layouts
Cycle time
Line efficiency
Particle swarm optimization

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10.1007/978-3-319-40162-1_56

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Janardhanan, M. N., Nielsen, P., & Ponnambalam, S. G. (2016). Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines. In S. Omatu, A. Semalat , G. Bocewicz , P. Sitek , I. E. Nielsen , J. A. García García, & J. Bajo (Eds.), Distributed Computing and Artificial Intelligence, 13th International Conference (Vol. 474, pp. 525-533). Springer. https://doi.org/10.1007/978-3-319-40162-1_56

Janardhanan, Mukund Nilakantan ; Nielsen, Peter ; Ponnambalam, S. G. / Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines. Distributed Computing and Artificial Intelligence, 13th International Conference. editor / Sigeru Omatu ; Ali Semalat ; Grzegorz Bocewicz ; Paweł Sitek ; Izabela E. Nielsen ; Julián A. García García ; Javier Bajo. Vol. 474 Springer, 2016. pp. 525-533 (Advances in Intelligent Systems and Computing, Vol. 474).

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

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.",

keywords = "Assembly line layouts, Cycle time, Line efficiency, Particle swarm optimization, Line efficiency, Assembly line layouts, Cycle time, Particle swarm optimization",

author = "Janardhanan, {Mukund Nilakantan} and Peter Nielsen and Ponnambalam, {S. G.}",

year = "2016",

doi = "10.1007/978-3-319-40162-1_56",

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editor = "Omatu, {Sigeru } and {Semalat }, {Ali } and {Bocewicz }, {Grzegorz } and {Sitek }, {Pawe{\l} } and {Nielsen }, {Izabela E. } and {Garc{\'i}a Garc{\'i}a}, {Juli{\'a}n A. } and Bajo, {Javier }",

booktitle = "Distributed Computing and Artificial Intelligence, 13th International Conference",

address = "Germany",

note = "13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

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Janardhanan, MN, Nielsen, P & Ponnambalam, SG 2016, Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines. in S Omatu, A Semalat , G Bocewicz , P Sitek , IE Nielsen , JA García García & J Bajo (eds), Distributed Computing and Artificial Intelligence, 13th International Conference. vol. 474, Springer, Advances in Intelligent Systems and Computing, vol. 474, pp. 525-533, 13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016, Sevilla, Spain, 01/06/2016. https://doi.org/10.1007/978-3-319-40162-1_56

Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines. / Janardhanan, Mukund Nilakantan; Nielsen, Peter; Ponnambalam, S. G.
Distributed Computing and Artificial Intelligence, 13th International Conference. ed. / Sigeru Omatu; Ali Semalat ; Grzegorz Bocewicz ; Paweł Sitek ; Izabela E. Nielsen ; Julián A. García García; Javier Bajo. Vol. 474 Springer, 2016. p. 525-533 (Advances in Intelligent Systems and Computing, Vol. 474).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines

AU - Janardhanan, Mukund Nilakantan

AU - Nielsen, Peter

AU - Ponnambalam, S. G.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Assembly line layouts

KW - Cycle time

KW - Line efficiency

KW - Particle swarm optimization

KW - Line efficiency

KW - Assembly line layouts

KW - Cycle time

KW - Particle swarm optimization

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U2 - 10.1007/978-3-319-40162-1_56

DO - 10.1007/978-3-319-40162-1_56

M3 - Article in proceeding

AN - SCOPUS:84975524693

SN - 978-3-319-40161-4

VL - 474

T3 - Advances in Intelligent Systems and Computing

SP - 525

EP - 533

BT - Distributed Computing and Artificial Intelligence, 13th International Conference

A2 - Omatu, Sigeru

A2 - Semalat , Ali

A2 - Bocewicz , Grzegorz

A2 - Sitek , Paweł

A2 - Nielsen , Izabela E.

A2 - García García, Julián A.

A2 - Bajo, Javier

PB - Springer

T2 - 13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016

Y2 - 1 June 2016 through 3 June 2016

ER -

Janardhanan MN, Nielsen P, Ponnambalam SG. Application of particle swarm optimization to maximize efficiency of straight and U-shaped robotic assembly lines. In Omatu S, Semalat A, Bocewicz G, Sitek P, Nielsen IE, García García JA, Bajo J, editors, Distributed Computing and Artificial Intelligence, 13th International Conference. Vol. 474. Springer. 2016. p. 525-533. (Advances in Intelligent Systems and Computing, Vol. 474). doi: 10.1007/978-3-319-40162-1_56

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

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