A Flexible Classfication Method for Evaluating the Utility of Automated Workpiece Classification System
Hsu, Shang H.
|關鍵字:||彈性群聚法;群組技術;工件自動分類系統;標準分類系統;精簡分類系統;Flexible Classification Method;Group Technology;Automated Workpiece Classification System;Benchmark Classification System;Lean Classification System|
In group technology workpieces are categorized into families according to their similarity in desing or manufacturing attributes. This technique can eliminate design duplication and facilitate the production. Much effort has been focused on automated workpiece classification systems development. However, it is difficult to evaluate the performance of thess system. A benchmark calssification system was developed based on golbal shape information to evaluate the utility of workpiece calssification systems. A classification system has a high level of utility if its classification scheme is consistent with users' mental models of the similarity between workpiece shapes. Hence in the proposed method the consistency between a classification system and users' mental models is used as an index of the utility of the system. The proposed benchmark classification has two salient characteristics: (1) it is user-oriented, because it is based on users' judgments. (2) it is flexible, allowing users to adjust the criteria of similarity applied in the automated workpiece calssification. Such benchmark classification is typically established by having subjects to perform complete pair comparisons of all sample workpieces. However, when the number of sample workpieces is very large, such exhaustive comparisons become impractical. This paper also proposes an efficient method, called lean classification, in which data on comparisons between the samples and a small number of typical workpieces are used to infer the benchmark classification results.
|Appears in Collections:||Thesis|