AI Magazine
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Computers in Industry - Special issue on CIM architectures
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
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A decision support system for cellular manufacturing system design
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Information system modelling for engineering design co-ordination
Computers in Industry - Special issue: Object-oriented modelling in design and production
Modelling collaborative knowledge to support engineering design project manager
Computers in Industry
Specification of a repository to support collaborative knowledge exchanges in IPPOP project
Computers in Industry - Special issue: Collaborative environments for concurrent engineering
Analysis of collaboration for project design management
Computers in Industry - Special issue: Collaborative environments for concurrent engineering
Analysing collaborative practices in design to support project managers
International Journal of Computer Integrated Manufacturing - Integrated Design of Product and Processes
Computers and Industrial Engineering
Information system modelling for engineering design co-ordination
Computers in Industry
Computers and Industrial Engineering
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This paper deals with the GRAI-R & D model based on the GRAI methodology to model engineering design systems in order to improve the performance of product engineering design. The aim is to optimise the synchronisation and coordination of the development of several design projects in an environment with limited resources (material, human, know-how, etc.) and satisfy the strategic performance objectives of the enterprise (cost, quality, flexibility, lead time, deadlines, etc.). After presenting the concepts of design control, the characteristics of the corresponding control system are described. The control system is a coordinated combination of the design process and product knowledge. The GRAI decision-making breakdown criteria (functional and temporal criteria) have been used for each design control field to structure coordination decisions. The structuring and identification of the interactions between decisions help engineers to coordinate and synchronise their design tasks. A graphic formalism is used for the design control system to facilitate understanding, communication, information and acquisition by design decision-makers. Experimental results are presented to demonstrate the advantages of using the GRAI-R & D model.