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James Gao

Bio: James Gao is an academic researcher from University of Greenwich. The author has contributed to research in topics: New product development & Product lifecycle. The author has an hindex of 26, co-authored 146 publications receiving 2349 citations. Previous affiliations of James Gao include Cranfield University & University of Bath.


Papers
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Journal ArticleDOI
TL;DR: The proposed methodology provides an integrated design knowledge reuse framework, bringing together elements of best practice reuse, design rationale capture and knowledge-based support in a single coherent framework.
Abstract: This paper describes an approach for reusing engineering design knowledge. Many previous design knowledge reuse systems focus exclusively on geometrical data, which is often not applicable in early design stages. The proposed methodology provides an integrated design knowledge reuse framework, bringing together elements of best practice reuse, design rationale capture and knowledge-based support in a single coherent framework. Best practices are reused through the process model. Rationale is supported by product information, which is retrieved through links to design process tasks. Knowledge-based methods are supported by a common design data model, which serves as a single source of design data to support the design process. By using the design process as the basis for knowledge structuring and retrieval, it serves the dual purpose of design process capture and knowledge reuse: capturing and formalising the rationale that underpins the design process, and providing a framework through which design knowledge can be stored, retrieved and applied. The methodology has been tested with an industrial sponsor producing high vacuum pumps for the semiconductor industry.

196 citations

Journal ArticleDOI
TL;DR: This paper presents a framework to integrate requirements management and design knowledge reuse that enables the application of requirements management as a dynamic process, including capture, analysis and recording of requirements.
Abstract: This paper presents a framework to integrate requirements management and design knowledge reuse The research approach begins with a literature review in design reuse and requirements management to identify appropriate methods within each domain A framework is proposed based on the identified requirements The framework is then demonstrated using a case study example: vacuum pump design Requirements are presented as a component of the integrated design knowledge framework The proposed framework enables the application of requirements management as a dynamic process, including capture, analysis and recording of requirements It takes account of the evolving requirements and the dynamic nature of the interaction between requirements and product structure through the various stages of product development

126 citations

Journal ArticleDOI
TL;DR: The developing paradigm of product-service systems and the requirement for co-design of products and services has influenced the structure of the knowledge base, as well as outlining specific service related requirements.
Abstract: This paper presents a framework for knowledge reuse in a product-service systems design scenario. The project aim is to develop a methodology to capture, represent and reuse knowledge to support pr...

93 citations

Journal ArticleDOI
TL;DR: An ontological knowledge management methodology utilising the semantic web initiative data formats was added to a PLM and an open source alternative and a solution using a de-centralised architecture proposed are proposed.

93 citations

Journal ArticleDOI
TL;DR: The paper describes methodologies being developed that are aimed at overcoming the lack of analysable product information at the conceptual stage of product design and manufacturing evaluation, along with the integration of such a concept design tool within a distributed environment.
Abstract: Product Data Management (PDM) systems and their offspring, Collaborative Product Development and Product Lifecycle Management technologies, aim to bring engineering enterprises together, allowing seamless intero- perability between different departments and throughout the extended enterprises. However, there are a number of shortcomings in the current crop of commercially available systems, such as the lack of design knowledge sharing, links with Enterprise Resource Planning systems, knowledge management tools and a generic standard for PDM system implementation. This paper presents a proposed software solution to some of the above problems. In particular, the paper describes methodologies being developed that are aimed at overcoming the lack of analysable product informa- tion at the conceptual stage of product design and manu- facturing evaluation, along with the integration of such a concept design tool within a distributed environment. A leading PDM system is used to manage all the information and knowledge that is made available to internet/intranet users in a controlled manner. The international standard for exchange of product data model (STEP) is implemented to enable the integration of the design environment with manufacturing and enterprise resource management systems. In addition, the paper also introduces three other recent/ ongoing projects, being carried out at Cranfield University, in the application of PDM, knowledge management and STEP standard for integrated manufacturing businesses.

92 citations


Cited by
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Book
29 Nov 2005

2,161 citations

[...]

于立新, 叶桂荣, 徐健, 白喜文, 罗永礼 
22 Dec 1993

1,095 citations

Journal ArticleDOI
TL;DR: In mechanical engineering and plant design, product-related services are usually considered as an add-on to the actual product as mentioned in this paper, which is a paradigm shift from the separated consideration of products and services to a new product understanding consisting of integrated products and Services.

850 citations

Journal ArticleDOI
Fei Tao1, Meng Zhang1
TL;DR: A novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physicalShop-floor, virtual shop- Floor, shop- floor service system, and shop-ground digital twin data.
Abstract: With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the same time, various national manufacturing development strategies have been put forward, such as Industry 4.0 , Industrial Internet , manufacturing based on Cyber-Physical System , and Made in China 2025 . However, one of specific challenges to achieve smart manufacturing with these strategies is how to converge the manufacturing physical world and the virtual world, so as to realize a series of smart operations in the manufacturing process, including smart interconnection, smart interaction, smart control and management, etc. In this context, as a basic unit of manufacturing, shop-floor is required to reach the interaction and convergence between physical and virtual spaces, which is not only the imperative demand of smart manufacturing, but also the evolving trend of itself. Accordingly, a novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physical shop-floor, virtual shop-floor, shop-floor service system, and shop-floor digital twin data. What is more, the operation mechanisms and implementing methods for DTS are studied and key technologies as well as challenges ahead are investigated, respectively.

741 citations