A Novel Parallel Assembly Sequence Planning Method for Complex Products Based on PSOBC
Joint Authors
Yang, Yanfang
Yang, Miao
Shu, Liang
Li, Shasha
Liu, Zhiping
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Parallel assembly sequence planning (PASP) greatly impacts on efficiency of assembly process.
In traditional methods, large scale of matrix calculation still limits efficiency of PASP for complex products.
A novel PASP method is proposed to address this issue.
To avoid matrix calculation, the synchronized assembly Petri net (SAPN) is firstly established to describe the precedence relationships.
Associated with the SAPN model, the PASP process can be implemented via particle swarm optimization based on bacterial chemotaxis (PSOBC).
Characterized by an attraction-repulsion phase, PSOBC not only prevents premature convergence to a high degree, but also keeps a more rapid convergence rate than standard particle swarm optimization (PSO) algorithm.
Finally, feasibility and effectiveness of the proposed method are verified via a case study.
With different assembly parallelism degrees, optimization results show that assembly efficiency of the solution calculated by PSOBC method is 9.0%, 4.2%, and 3.1% better than the standard PSO process.
American Psychological Association (APA)
Yang, Yanfang& Yang, Miao& Shu, Liang& Li, Shasha& Liu, Zhiping. 2020. A Novel Parallel Assembly Sequence Planning Method for Complex Products Based on PSOBC. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1200722
Modern Language Association (MLA)
Yang, Yanfang…[et al.]. A Novel Parallel Assembly Sequence Planning Method for Complex Products Based on PSOBC. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1200722
American Medical Association (AMA)
Yang, Yanfang& Yang, Miao& Shu, Liang& Li, Shasha& Liu, Zhiping. A Novel Parallel Assembly Sequence Planning Method for Complex Products Based on PSOBC. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1200722
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1200722