A hierarchical data structure for representing assemblies: part I
Computer-Aided Design
Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Intelligent suggestive CAD systems research overview
Proceedings of the MIT-JSME workshop on Computer-aided cooperative product development
Assessment of features technology
Computer-Aided Design
A framework for automatic DFA system development
Computers and Industrial Engineering
An object-oriented assembly application methodology for PDES/STEP based mechanical systems
An object-oriented assembly application methodology for PDES/STEP based mechanical systems
Neuro-fuzzy comprehensive assemblability and assembly sequence evaluation
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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Assemblability analysis and evaluation plays a key role in assembly design, operation analysis and planning. In this paper, we propose an integrated intelligent approach and framework for evaluation of assemblability and assembly sequence for electro-mechanical assemblies (EMAs). The approach integrates the STEP (STandard for the Exchange of Product model data, officially ISO 10303) based assembly model and XML schema with the fuzzy analytic hierarchy process for assembly evaluation. The evaluation structure covers not only the geometric and physical characteristics of the assembly parts but also the assembly operation data necessary to assemble the parts. The realization of the integration system is implemented through a multi-agent framework. Through integration with the STEP-based product modeling agent system, CAD agent system and assembly planning agent system, the developed assembly evaluation agent system can effectively incorporate, exchange, and share concurrent engineering knowledge into the preliminary design process so as to provide users with suggestions for improving a design and also helping obtain better design ideas. The proposed approach has the flexibility to be used in various assembly methods and different environments. The applications show that the proposed approach and system are feasible.