DOI: 10.1007/978-0-387-09697-1_6
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Developing DA Applications in SMEs Industrial Context

Abstract: Automation applications within Small Medium Enterprises (SMEs) industrial context. It focuses the attention on some characteristics of the design process in SME context, and highlights issues of DA in relation to the characteristics previously evidenced. On this basis, it has been defined a methodology, named MEDEA (Methodology per Design Automation), to develop DA applications; it proposes a step by step roadmap and suggests methods and tools finalized to developers more skilled on products and design process… Show more

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Cited by 12 publications
(3 citation statements)
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“…MEDEA is a methodology that proposes a step by step roadmap to develop KBE applications targeted to Small Medium Enterprises (SMEs) [7]. This methodology has been developed and tested to automate the design of single products or assemblies.…”
Section: Methodsmentioning
confidence: 99%
“…MEDEA is a methodology that proposes a step by step roadmap to develop KBE applications targeted to Small Medium Enterprises (SMEs) [7]. This methodology has been developed and tested to automate the design of single products or assemblies.…”
Section: Methodsmentioning
confidence: 99%
“…Designers often are required to deal with products with similar structures, with only minor differences related to specific requirements [2,[10][11][12]. Therefore, most knowledge-based engineering (KBE) applications for mechanical design follow three main approaches, i.e., the automation of complex design tasks, the reuse of design solutions, and knowledge-based tools [13][14][15]. The feature design can be automated, also taking into account technology specific data.…”
Section: Of 19mentioning
confidence: 99%
“…To support the engineer within this basic dilemma, tools of parameterization and automation emerged. One example is design automation (DA) discussed in [8]. Based on explicit information of existing parts, concepts can be rapidly adapted to different boundary conditions.…”
Section: Early Evaluation Loops Of Kinematic Systemsmentioning
confidence: 99%