A framework for management of Knowledge-Based Engineering applications as software services: Enabling personalization and codification

2012 ◽  
Vol 26 (2) ◽  
pp. 219-230 ◽  
Author(s):  
Pablo Bermell-Garcia ◽  
Wim J.C. Verhagen ◽  
Simon Astwood ◽  
Kiran Krishnamurthy ◽  
Jean Luc Johnson ◽  
...  
Keyword(s):  
Engineering Applications ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Software Services

scholarly journals Knowledge-based engineering in the context of railway design by integrating BIM, BPMN, DMN and the methodology for knowledge-based engineering applications (MOKA)

2021 ◽  
Vol 26 ◽  
pp. 193-226
Author(s):  
Marco Häußler ◽  
André Borrmann
Keyword(s):  
Process Model ◽  
Best Practice ◽  
Engineering Applications ◽  
Engineering Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Routine Design ◽  
Knowledge Based Engineering ◽  
Knowledge Intensive ◽  
Use Of Knowledge

Designing railway infrastructure is a knowledge-intensive task. Although there are a number of mature design authoring systems available, their support for dynamically incorporating domain-specific engineering knowledge is very limited. At the same time, a standardized digital representation of railway engineering knowledge (such as building codes and best practice) does not exists. To overcome this deficiency, this paper proposes the use of Knowledge Based Engineering (KBE) to automate routine design tasks by considering multiple knowledge sources. In this scenario, KBE is used to support a Railway design authoring system. To ensure maximum transparency in the design of the developed KBE application, graphical ‘Business Process Model and Notation’ (BPMN) has been used in combination with ‘Decision Model and Notation’ (DMN) to formalize the underlying engineering knowledge. The KBE application has been developed according to the Methodology for Knowledge-Based Engineering Applications (MOKA). An evaluation of the BPMN/DMN approach shows that it meets up to 58% of the acceptance criteria found in the literature. In addition, BPMN and DMN can already be used in the early capture phase of MOKA and its workflows can be developed into an executable KBE application in the subsequent phases. The results of the test example discussed here show that time savings of up to 97.5% can be achieved in the execution of the KBE application.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

Industrial Application of Knowledge-Based Engineering in Commercial CAD / CAE Systems

2021 ◽  
pp. 100255
Author(s):  
Jerzy Pokojski ◽  
Karol Szustakiewicz ◽  
Łukasz Woźnicki ◽  
Konrad Oleksiński ◽  
Jarosław Pruszyński
Keyword(s):  
Industrial Application ◽  
Knowledge Based ◽  
Knowledge Based Engineering

Application of Knowledge-Based Engineering Methods for Hull Structural Member Design

2009 ◽  
Author(s):  
Jinfeng Chen ◽  
◽  
Hezhen Yang ◽  
Ruhong Jiang ◽  
Deyu Wang ◽  
...  
Keyword(s):  
Structural Member ◽  
Knowledge Based ◽  
Knowledge Based Engineering
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