Knowledge integration of collaborative product design using cloud computing infrastructure

The pivotal key for the success of manufacturing enterprises is sustainable and innovative product design and development. In collaborative design, stakeholders are heterogeneously distributed chain-like. Due to the growing volume of data and knowledge, an effective management of the knowledge acquired in the product design and development is one of the key challenges facing most manufacturing enterprises. Opportunities for improving efficiency and performance of IT-based product design applications through centralization of resources such as knowledge and computation have increased in the last few years with maturation of technologies such as SOA, virtualization, grid computing, and/or cloud computing. The main focus of this paper is the concept of ongoing research in providing the knowledge integration service for collaborative product design and development using cloud computing infrastructure. Potentials of the cloud computing to support the Knowledge integration functionalities as a Service by providing functionalities such as knowledge mapping, merging, searching, and transferring in product design procedure are described in this paper. Proposed knowledge integration services support users by giving real-time access to knowledge resources. The framework has the advantage of availability, efficiency, cost reduction, less time to result, and scalability.

[1]  H. Schröder,et al.  Knowledge integration : the practice of knowledge management in small and medium enterprises , 2006 .

[2]  Andrew Y. C. Nee,et al.  Integrated and Collaborative Product Development Environment: Technologies and Implementations , 2006 .

[3]  Luis TOUSSAINT,et al.  PLM-based Approach for Design Verification and Validation using Manufacturing Process Knowledge , 2013 .

[4]  Elena Revilla,et al.  Antecedents and Consequences of Knowledge Integration in Product Development: An Empirical Evidence , 2008 .

[5]  Gaoliang Peng,et al.  Research on ontology-based integration of product knowledge for collaborative manufacturing , 2010 .

[6]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[7]  Stylianos Kavadias,et al.  Handbook of New Product Development Management , 2007 .

[8]  Satish Nambisan Information Technology and Product Development , 2009, Information Technology and Product Development.

[9]  Eva-Maria Kern,et al.  Framework for internet-supported inter-organizational product development collaboration , 2007, J. Enterp. Inf. Manag..

[10]  Emma O'Brien,et al.  IT-Based Knowledge Management Systems to Support the Design of Product Development Processes , 2009, Information Technology and Product Development.

[11]  Gila Molcho,et al.  Computer aided manufacturability analysis: Closing the knowledge gap between the designer and the manufacturer , 2008 .

[12]  Timothy W. Simpson,et al.  Product family design knowledge representation, integration, and reuse , 2005, IRI -2005 IEEE International Conference on Information Reuse and Integration, Conf, 2005..

[13]  Fritz Machlup,et al.  Knowledge: Its Creation, Distribution and Economic Significance, Volume III: The Economics of Information and Human Capital , 1984 .

[14]  Borko Furht,et al.  Handbook of Cloud Computing , 2010 .

[15]  Andrew Y. C. Nee,et al.  Towards a generic distributed and collaborative digital manufacturing , 2007 .

[16]  Fritz Machlup,et al.  Knowledge : its creation, distribution, and economic significance , 1980 .

[17]  Madjid Fathi,et al.  Practical Approach of Knowledge Management in Medical Science , 2020, IKE.

[18]  Andreas Kunz,et al.  Factory of the future enabled by the virtual factory framework (VFF) , 2010 .

[19]  Yuh-Min Chen,et al.  Distributed product knowledge service: model and system framework , 2011 .

[20]  Dorothy E. Leidner,et al.  Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues , 2001, MIS Q..

[21]  Guo Jian,et al.  A multi-agent based knowledge search framework to support the product development process , 2010, Int. J. Comput. Integr. Manuf..

[22]  Boqin Feng,et al.  Distributed Knowledge Integration Based on Intelligent Topic Map , 2010 .