Knowledge based product life cycle systems: principles of integration of KBE and C3P

Penoyer, J. A.; Burnett, Gary; Fawcett, David; Liou, Shuh-Yuan

doi:10.1016/s0010-4485(00)00014-2

Cited by 53 publications

(24 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can manage model simplification and denaturing of CAD models to make it adequate to FEA meshing and get quick results, but the integration is one-way traffic and lacks the recursive loop support. Penoyer et al [26] used KBE along with CAD, CAE and CAM for complete product development. The approach was GUI based with KBE to manage the majority of the product life cycle process.…”

Section: Related Workmentioning

confidence: 99%

A CAD/CAE incorporate software framework using a unified representation architecture

Xia

Wang

et al. 2015

Advances in Engineering Software

View full text Add to dashboard Cite

Section: Related Workmentioning

confidence: 99%

A CAD/CAE incorporate software framework using a unified representation architecture

Xia

Wang

et al. 2015

Advances in Engineering Software

View full text Add to dashboard Cite

“…Engineering intent representation was researched on for some time already but a concrete foundation has not been established yet: methods to link conceptual designs to detailed designs (Ranta et al 1996;Golob 2000, Bronsvoort andNoort 2004) were preliminarily explored while some conceptual frameworks were proposed for the integration mechanisms between knowledge engineering methods and computer aided product design tools (Penoyer et al 2000;Roller and Kreuz 2003).…”

Section: The Authors' View Of a New Paradigmmentioning

confidence: 99%

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

Chen

Thimm

2008

J Intell Manuf

View full text Add to dashboard Cite

With widely used concurrent and collaborative engineering technologies, the validity and consistency of product information become important. In order to establish the state of the art, this paper reviews emerging concurrent and collaborative engineering approaches and emphasizes on the integration of different application systems across product life cycle management (PLM) stages. It is revealed that checking product information validity is difficult for the current computer-aided systems because engineering intent is at best partially represented in product models. It is also not easy to maintain the consistency among related product models because information associations are not established. The purpose of this review is to identify and analyze research issues with respect to information integration and sharing for future concurrent and collaborative engineering. A new paradigm of research from the angle of feature unification and association for product modeling and manufacturing is subsequently proposed.Keywords Concurrent and collaborative engineering · Feature-based design and manufacturing · Product life cycle modeling · Information validity and consistency

show abstract

“…As such, there will be an ever-increasing demand to share a common manufacturing product representation (Penoyer et al 2000). The product knowledge can be managed within a KBE to ensure that the knowledge retains its value and usefulness during the product life cycle.…”

Section: Z31 Knowledge Based Systemsmentioning

confidence: 99%

A manufacturing model to enable knowledge maintenance in decision support systems

Guerra-Zubiaga

Young

2006

Journal of Manufacturing Systems

View full text Add to dashboard Cite

DEDICATIONThis thesis is dedicated to:My beloved wife Claudia and son David Alejandro, without whose moral support this work would not have been completed. Your presence in my life has enabled me to achieve all that I have. With all my love to them.To my parents who taught me the merit of education and for the generous love they gave me throughout my life.To my parents-in-law for their love, encouragement and support.To my relatives because they are important in my life.To God, thank you for everything YOU always give me. A very special thanks to Aysin, Dean, Shilpa, Roberto, Alex, Adrian, and their respective families for their hospitality, which helped us to have a second home. Claudia, David Alejandro and myself express our sincere gratitude for your friendship.Thanks to God for letting me get to the end of this journey. IV ABSTRACTThe product development process, within a typical manufacturing company, utilises huge amounts of knowledge related to manufacturing and design activities. Knowledge based systems are increasingly being used to support manufacturing and design decisions. These systems are important tools for obtaining a competitive advantage and leverage using company "know-how". However, it is important to define suitable knowledge structures in the creation of these decision support systems. Due to the significant volume of knowledge generated in the manufacturing and design stage, there is a need to create structures and methods that readily manage and maintain the knowledge in order to a) assure the long-term use of these systems b) improve the company's competitiveness.The research reported in this thesis explores and defines a Manufacturing Facility Information and Knowledge Model (MFIKM) allowing a) the ability to store and manage various types of knowledge, b) the capturing of valuable new knowledge using a knowledge maintenance method. The understanding of an information and knowledge infrastructure using different types of knowledge categorisation has been explored. The major emphasis has been placed on understanding the facility knowledge structure related to processes and resources supporting process planning decisions. Using a knowledge maintenance life cycle as a method to maintain knowledge, it was possible to capture new and valuable machining knowledge using different types of representations. Knowledge models and methods are essential in the definition of structures to support manufacturing decisions allowing knowledge management and maintenance.It has been shown that the knowledge structures defined for the new model can serve as a source and repository for different types of knowledge allowing the support of manufacturing decisions with up-to-date knowledge. The framework defined enables the structuring of facility knowledge, processes, and resources, as super classes; improving the understanding of the relationships and dependencies among them, and allowing accessibility depending on the characteristics of each. A UML tool helped in the creation of new structures detailing attr...

show abstract

Knowledge based product life cycle systems: principles of integration of KBE and C3P

Cited by 53 publications

References 6 publications

A CAD/CAE incorporate software framework using a unified representation architecture

A CAD/CAE incorporate software framework using a unified representation architecture

Paradigm shift: unified and associative feature-based concurrent and collaborative engineering

A manufacturing model to enable knowledge maintenance in decision support systems

Contact Info

Product

Resources

About