CYAIJan 16, 2020

Knowledge Integration of Collaborative Product Design Using Cloud Computing Infrastructure

arXiv:2001.09796v119 citations
AI Analysis

This addresses knowledge management problems for manufacturing enterprises in collaborative design, but it appears incremental as it builds on existing cloud computing technologies.

The paper tackles the challenge of managing knowledge in collaborative product design by proposing a knowledge integration service using cloud computing infrastructure, which offers functionalities like mapping, merging, searching, and transferring knowledge to improve efficiency and scalability.

The pivotal key to the success of manufacturing enterprises is a 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, 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 the 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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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