Abstract
In order to optimize part machining service combination, an approach is proposed from the perspective of improving assembly fit quality. Difference between part tolerance and error is regarded as evaluation index. Simulated annealing is adopted to look for the best solution with little time consumption. An example shows that, the method benefits quality and efficiency of part machining service combination optimization remarkably.
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Sun, H. (2010). Optimizing Part Machining Service Combination Using Simulated Annealing. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_85
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DOI: https://doi.org/10.1007/978-3-642-10430-5_85
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10429-9
Online ISBN: 978-3-642-10430-5
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