Affiliation:
1. Department of Mechanical Engineering, National University of Singapore, Singapore
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.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Reference35 articles.
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