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
Source: 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
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