关键词: 成组技术;神经网络;生产流程分析;零件编码, 零件族搜索

Abstract:

It is usually difficult to search for a part family belonged to a new part when production flow analysis is used for part family classification. This paper presented a new approach for part family search based on artificial neural network. In this approach, the relationship between manufacturing process and part family was converted into the relationship between part codes and part family, an artificial neural network was employed to realize the intelligent and nonlinear mapping from part code to part family based on the existing part code,manufacturing process and parts family and  then intelligent part family search can be realized. The principle of the approach, artificial neural network samples, and training process were discussed. The feasibility and effectiveness of this approach was tested with real cases.

Key words: group technology, neural network, production process analysis, part coding, part family search