Please use this identifier to cite or link to this item: https://doi.org/10.1243/09544054JEM359
Title: An enhanced assembly planning approach using a multi-objective genetic algorithm
Authors: Lu, C.
Wong, Y.S. 
Fuh, J.Y.H.
Keywords: Assemblability
Assembly planning
Clearance
Genetic algorithm
Multi-objective
Tolerance
Issue Date: 2006
Citation: Lu, C., Wong, Y.S., Fuh, J.Y.H. (2006). An enhanced assembly planning approach using a multi-objective genetic algorithm. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 220 (2) : 255-272. ScholarBank@NUS Repository. https://doi.org/10.1243/09544054JEM359
Abstract: This paper proposes an assembly planning approach using a multi-objective genetic algorithm (GA). The influence of tolerance and clearance on product assemblability in different assembly sequences is considered and used as a constraint in assembly planning. For a more comprehensive search for feasible non-dominated solutions, this paper proposes a multi-objective genetic algorithm that establishes different fitness functions through a fuzzy weight distribution algorithm. It also considers the experience of the decision maker. The results of the case study are given to verify the proposed approach. © IMechE 2006.
Source Title: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
URI: http://scholarbank.nus.edu.sg/handle/10635/59447
ISSN: 09544054
DOI: 10.1243/09544054JEM359
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

26
checked on Jul 17, 2018

WEB OF SCIENCETM
Citations

22
checked on Jun 27, 2018

Page view(s)

36
checked on Jun 30, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.