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|Title:||An enhanced assembly planning approach using a multi-objective genetic algorithm|
|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|
|Appears in Collections:||Staff Publications|
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