DocumentCode
296963
Title
Adaptation of the compared downgrading method to the object classing for the operation generation in assembly processes
Author
Bergeonneau-Nervi, Marie-Line ; Brun-Picard, Daniel
Author_Institution
DIAM-IUSPIM, Domaine Univ., France
Volume
2
fYear
1995
fDate
10-13 Oct 1995
Firstpage
241
Abstract
We propose the implementation of a dynamic decision-aid method for the assembly process design. The resemblance between objects is established on functional properties, therefore on complex properties. The resemblance is established upon high abstraction level properties easy to link with assembly proceedings. The method we propose is adapted both to constraints linked to resemblance nature and to the electric beam assembly posed problem. This method presents several advantages. First, it presents a formalized but flexible frame which allows decision guidance. It also allows one to deal with all the criteria that can be grouped in equivalence classes, and with their classification. Next, all the criteria are used for comparison. Further more, the comparison takes interactions between equivalence classes into account. This method allows one to examine the whole retrieval space. In addition, these rules are liable to rationalize some operations that a person confronted with a choice realizes. Finally, the qualitative echelon used allows the method to admit some imprecisions about the data
Keywords
assembling; management; operations research; pattern classification; production control; abstraction level; assembly process design; downgrading method; dynamic decision-aid method; functional properties; multicriteria method; object classification; qualitative echelon; resemblance nature; Assembly; Coaxial cables; Communication cables; Cost function; Design optimization; Electronic mail; Feedback; Information systems; Machining; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies and Factory Automation, 1995. ETFA '95, Proceedings., 1995 INRIA/IEEE Symposium on
Conference_Location
Paris
Print_ISBN
0-7803-2535-4
Type
conf
DOI
10.1109/ETFA.1995.496664
Filename
496664
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