2022
DOI: 10.1017/pds.2022.78
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Feasibility Evaluation of Milling Designs Using Multi-Agent Systems

Abstract: During product development, many decisions have to be made that affect the entire product life cycle and often lead to errors that cause additional effort. To proactively support the engineer in evaluating his design in a CAD program, in this paper an approach to evaluate milling designs using a multi-agent system (MAS) is presented. The CommonKADS method is used and the MAS is validated against an application example of a gearbox housing that has been checked for design guidelines, standards, and tool or mach… Show more

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Cited by 3 publications
(3 citation statements)
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“…If more flexibility is required or if large complex constraint problems exist, distributed approaches in the form of a multi-agent system, as in Ref. [41] are a possibility to deal with this. In this way, the complex problems can be solved in a stepwise and decentralized manner by autonomously interacting agents.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…If more flexibility is required or if large complex constraint problems exist, distributed approaches in the form of a multi-agent system, as in Ref. [41] are a possibility to deal with this. In this way, the complex problems can be solved in a stepwise and decentralized manner by autonomously interacting agents.…”
Section: Discussionmentioning
confidence: 99%
“…Approaches from product development can map this feedback by investigating product designs using formalized manufacturing knowledge. Thereby, these models are able to show manufacturing conflicts and support their resolution by hints or direct product model adaptation [38][39][40][41]. In doing so, they usually focus on specific manufacturing processes and their sequences of operations and again cannot consider holistic process chains and different manufacturing processes.…”
Section: Including Manufacturing Knowledge In Product Designmentioning
confidence: 99%
“…An automated adaptation of a product design based on this is also possible with knowledgebased systems [8,9]. The setup of such systems requires the linking of information and knowledge about manufacturability with product models [10].…”
Section: Theoretical Background and Related Workmentioning
confidence: 99%