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Contribution à la classification automatique de données de production en technologie de groupe

Abstract : Group technology can be defined as a concept of analysis a tool for rationalizing production. The production system is considered as a complex process, depending on numerous variables of various nature, taking very different values and interacting on multiple ways. For the observation of this system on a given horizon, it is necessary to take into account a large set of data, the arrangement of which is beyond human possibilities. Group technology consists in clustering technical and economical data into homogenous families, in order to optimize the flow of materials and to develop solutions using the know-haw of companies and using analogies relative to shapes, dimensions, estimates,..., and manufacturing processes. Clustering systems available nowadays in group technology are not satisfactory, as they request much time and perspicacity of the users, without insuring an objective result of analysis. Beside these systems, data analysis proposes numerious algorithms from which it is difficult for industrials to choose. The present study is an attempt to clarify this situation and proposes a methodology in order to attain to rational use of data analysis methods. This methodology has been applied to the development of a program called CLAUDIA (cluster analysis and automatic classing of industrial analytical data). An industrial application of this program to production data in the field of manufacturing has been developed. Satisfactory parts families have been obtained. The main difficulties against which traditional clustering systems came up have been smoothed away
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Submitted on : Tuesday, April 24, 2018 - 3:41:11 PM
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  • HAL Id : tel-01775729, version 1



Abdellah Nadif. Contribution à la classification automatique de données de production en technologie de groupe. Sciences de l'ingénieur [physics]. Université Paul Verlaine - Metz, 1987. Français. ⟨NNT : 1987METZ016S⟩. ⟨tel-01775729⟩



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