ANALYSIS OF ASSEMBLY OPERATIONS DIFFICULTY - A FUZZY EXPERT-SYSTEM APPROACH

被引:8
作者
BENARIEH, D [1 ]
机构
[1] KANSAS STATE UNIV AGR & APPL SCI,DEPT IND ENGN,MANHATTAN,KS 66506
关键词
FUZZY LOGIC; EXPERT SYSTEM; DESIGN-FOR-ASSEMBLY;
D O I
10.1007/BF00123954
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Typical mechanical products can be assembled in various sequences of assembly operations. These sequences have high impact on the assembly time, machine utilization and even on the product quality. In order to select the best sequence of assembly operations, proper evaluation of the various sequences of assembly operations is required. This, in turn, requires the consistent evaluation of each assembly operation in the sequence. The assembly operations can be evaluated for various criteria, of which the operation difficulty is the most meaningful. This paper describes a methodology to analyse the assembly operations and calculates an operation's degree of difficulty using an expert system. This analysis consists of two steps: the first one identifies the main parameters that affect the assembly difficulty and assigns fuzzy triangular values to these parameters. The second step assigns weights to the parameters in order to maximize the agreement with a domain expert. The expert system analyses the difficulty of the assembly operation performed in two orientations: horizontal and vertical. The expert system then assigns a triangular fuzzy number as the aggregate measure of the operation's difficulty.
引用
收藏
页码:411 / 419
页数:9
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