The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Hongwei Wang - One of the best experts on this subject based on the ideXlab platform.
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a collaborative system for capturing and reusing in context Design Knowledge with an integrated representation model
Advanced Engineering Informatics, 2017Co-Authors: Gongzhuang Peng, Heming Zhang, Hongwei Wang, Yanwei Zhao, A L JohnsonAbstract:Current research on Design Knowledge capture and reuse has predominantly focused on either the codification view of Knowledge or the personalisation view of Knowledge, resulting in a failure to address Designers’ Knowledge needs caused by a lack of context of information and insufficient computational support. Precisely motivated by this gap, this work aims to address the integration of these two views into a complete, contextual and trustworthy Knowledge management scheme enabled by the emerging collaborative technologies. Specifically, a Knowledge model is developed to represent an integrated Knowledge space, which can combine geometric model, Knowledge-based analysis codes and problem-solving strategies and processes. On this basis, a smart collaborative system is also Designed and developed to streamline the Design process as well as to facilitate Knowledge capture, retrieval and reuse as users with different roles are working on various tasks within this process. An engineering case study is undertaken to demonstrate the idea of collaborative Knowledge creation and sharing and evaluate the effectiveness of the Knowledge representation model and the collaborative technologies employed. As evidenced in the development and evaluation, the methods proposed are effective for capturing an integrated Knowledge space and the collaborative Knowledge management system not only facilitates problem-solving using Knowledge-based analysis but also supplies in-context tacit Knowledge captured from the communications between users throughout the Design process.
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a rfbse model for capturing engineers useful Knowledge and experience during the Design process
Robotics and Computer-integrated Manufacturing, 2017Co-Authors: Hao Qin, Hongwei Wang, A L JohnsonAbstract:Reuse of Designers' Knowledge and experience of solving problems during the engineering Design process holds the key to increase efficiency of decision making in future projects. An important part of this useful Knowledge and experience is the interpretation of data and information about Design objects and processes as well as the generation of new information for decision-making. However, previous studies on Knowledge representation models have mainly focused on developing a structure to describe the Knowledge about Design objects and Design processes while a systematic method that can effectively integrate Knowledge about Design objects and Knowledge about problem-solving strategies is still missing. To fill this gap, a RFBSE Knowledge representation model for capturing useful Design Knowledge and experience for future reuse is developed and evaluated in this study. This paper describes the key elements of this model, explains the rationale of using particular elements, and discusses the evaluation of the model using an engineering Design example. Capture and represent tacit Knowledge in engineers' minds in a structure way.Integrate informal Design Knowledge with formal Design Knowledge.Integrate Design Knowledge on both Design objects and Design processes.Provide a platform to track Design evolution and capture the useful Knowledge within this process.
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BOM-based Design Knowledge representation and reasoning for collaborative product development
Journal of Systems Science and Systems Engineering, 2016Co-Authors: Gongzhuang Peng, Huachao Mao, Hongwei Wang, Heming ZhangAbstract:Modern product development becomes increasingly collaborative and integrated, which raises the need for effectively and efficiently sharing and re-using Design Knowledge in a distributed and collaborative environment. To address this need, a framework is developed in this research to support Design Knowledge representation, retrieval, reasoning and fusion, which takes account of structural, functional and behavioral data, various Design attributes and Knowledge reasoning cases. Specifically, a multi-level Knowledge representation based on the Base Object Model (BOM) is proposed to enable Knowledge sharing using Web services technologies. On this basis, a multi-level Knowledge reuse method is developed to support the retrieval, matching and assembly of Knowledge records. Due to the tree structure of BOM, both depth-first and breadth-first searching strategies are employed in the retrieval algorithm while a novel measure is proposed to evaluate similarity. Moreover, a method based on the D-S evidence theory is developed to enable Knowledge fusion and thus support effective decision-making. The framework has been implemented and integrated into an HLA-based simulation platform on which the development of a missile simulation example is conducted. It is demonstrated in the case study that the proposed framework and methods are useful and effective for Design Knowledge representation and reuse.
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the retrieval of structured Design rationale for the re use of Design Knowledge with an integrated representation
Advanced Engineering Informatics, 2012Co-Authors: Hongwei Wang, A L Johnson, R H BracewellAbstract:Design Knowledge can be acquired from various sources and generally requires an integrated representation for its effective and efficient re-use. Though Knowledge about products and processes can illustrate the solutions created (know-what) and the courses of actions (know-how) involved in their creation, the reasoning process (know-why) underlying the solutions and actions is still needed for an integrated representation of Design Knowledge. Design rationale is an effective way of capturing that missing part, since it records the issues addressed, the options considered, and the arguments used when specific Design solutions are created and evaluated. Apart from the need for an integrated representation, effective retrieval methods are also of great importance for the re-use of Design Knowledge, as the Knowledge involved in Designing complex products can be huge. Developing methods for the retrieval of Design rationale is very useful as part of the effective management of Design Knowledge, for the following reasons. Firstly, Design engineers tend to want to consider issues and solutions before looking at solid models or process specifications in detail. Secondly, Design rationale is mainly described using text, which often embodies much relevant Design Knowledge. Last but not least, Design rationale is generally captured by identifying elements and their dependencies, i.e. in a structured way which opens the opportunity for going beyond simple keyword-based searching. In this paper, the management of Design rationale for the re-use of Design Knowledge is presented. The retrieval of Design rationale records in particular is discussed in detail. As evidenced in the development and evaluation, the methods proposed are useful for the re-use of Design Knowledge and can be generalised to be used for the retrieval of other kinds of structured Design Knowledge.
A L Johnson - One of the best experts on this subject based on the ideXlab platform.
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a collaborative system for capturing and reusing in context Design Knowledge with an integrated representation model
Advanced Engineering Informatics, 2017Co-Authors: Gongzhuang Peng, Heming Zhang, Hongwei Wang, Yanwei Zhao, A L JohnsonAbstract:Current research on Design Knowledge capture and reuse has predominantly focused on either the codification view of Knowledge or the personalisation view of Knowledge, resulting in a failure to address Designers’ Knowledge needs caused by a lack of context of information and insufficient computational support. Precisely motivated by this gap, this work aims to address the integration of these two views into a complete, contextual and trustworthy Knowledge management scheme enabled by the emerging collaborative technologies. Specifically, a Knowledge model is developed to represent an integrated Knowledge space, which can combine geometric model, Knowledge-based analysis codes and problem-solving strategies and processes. On this basis, a smart collaborative system is also Designed and developed to streamline the Design process as well as to facilitate Knowledge capture, retrieval and reuse as users with different roles are working on various tasks within this process. An engineering case study is undertaken to demonstrate the idea of collaborative Knowledge creation and sharing and evaluate the effectiveness of the Knowledge representation model and the collaborative technologies employed. As evidenced in the development and evaluation, the methods proposed are effective for capturing an integrated Knowledge space and the collaborative Knowledge management system not only facilitates problem-solving using Knowledge-based analysis but also supplies in-context tacit Knowledge captured from the communications between users throughout the Design process.
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a rfbse model for capturing engineers useful Knowledge and experience during the Design process
Robotics and Computer-integrated Manufacturing, 2017Co-Authors: Hao Qin, Hongwei Wang, A L JohnsonAbstract:Reuse of Designers' Knowledge and experience of solving problems during the engineering Design process holds the key to increase efficiency of decision making in future projects. An important part of this useful Knowledge and experience is the interpretation of data and information about Design objects and processes as well as the generation of new information for decision-making. However, previous studies on Knowledge representation models have mainly focused on developing a structure to describe the Knowledge about Design objects and Design processes while a systematic method that can effectively integrate Knowledge about Design objects and Knowledge about problem-solving strategies is still missing. To fill this gap, a RFBSE Knowledge representation model for capturing useful Design Knowledge and experience for future reuse is developed and evaluated in this study. This paper describes the key elements of this model, explains the rationale of using particular elements, and discusses the evaluation of the model using an engineering Design example. Capture and represent tacit Knowledge in engineers' minds in a structure way.Integrate informal Design Knowledge with formal Design Knowledge.Integrate Design Knowledge on both Design objects and Design processes.Provide a platform to track Design evolution and capture the useful Knowledge within this process.
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the retrieval of structured Design rationale for the re use of Design Knowledge with an integrated representation
Advanced Engineering Informatics, 2012Co-Authors: Hongwei Wang, A L Johnson, R H BracewellAbstract:Design Knowledge can be acquired from various sources and generally requires an integrated representation for its effective and efficient re-use. Though Knowledge about products and processes can illustrate the solutions created (know-what) and the courses of actions (know-how) involved in their creation, the reasoning process (know-why) underlying the solutions and actions is still needed for an integrated representation of Design Knowledge. Design rationale is an effective way of capturing that missing part, since it records the issues addressed, the options considered, and the arguments used when specific Design solutions are created and evaluated. Apart from the need for an integrated representation, effective retrieval methods are also of great importance for the re-use of Design Knowledge, as the Knowledge involved in Designing complex products can be huge. Developing methods for the retrieval of Design rationale is very useful as part of the effective management of Design Knowledge, for the following reasons. Firstly, Design engineers tend to want to consider issues and solutions before looking at solid models or process specifications in detail. Secondly, Design rationale is mainly described using text, which often embodies much relevant Design Knowledge. Last but not least, Design rationale is generally captured by identifying elements and their dependencies, i.e. in a structured way which opens the opportunity for going beyond simple keyword-based searching. In this paper, the management of Design rationale for the re-use of Design Knowledge is presented. The retrieval of Design rationale records in particular is discussed in detail. As evidenced in the development and evaluation, the methods proposed are useful for the re-use of Design Knowledge and can be generalised to be used for the retrieval of other kinds of structured Design Knowledge.
Riichiro Mizoguchi - One of the best experts on this subject based on the ideXlab platform.
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deployment of an ontological framework of functional Design Knowledge
Advanced Engineering Informatics, 2004Co-Authors: Yoshinobu Kitamura, Masakazu Kashiwase, Masayoshi Fuse, Riichiro MizoguchiAbstract:Although the importance of Knowledge sharing among Designers has been widely recognized, Knowledge about functionality in the conceptual Design phase is hard to capture and is often scattered across technical domains. Aimed at capturing such functional Knowledge that can easily be applied to other domains, we developed an ontological framework to systematically describe it. It includes six kinds of Knowledge about functionality, i.e. two types of functional models, two types of organization of generic Knowledge, and two ontologies of functionality. This paper reports on the successful deployment of the framework in a production company. The Plant and Production Systems Engineering Division of Sumitomo Electric Industries has used our framework to share functional Design Knowledge on production systems since May, 2001. An empirical evaluation by Sumitomo's engineers was unanimously positive. They said that this framework enabled them to make implicit Knowledge possessed by each Designer explicit and to share it among team members. This paper discusses some successful use-cases in tasks such as a Design review, a patent application, and solving a quality problem. We also discuss effects of our ontological framework as a consistent viewpoint for capturing implicit functional Knowledge and as a conceptual interlingua among Designers. The limitations of our framework are also discussed.
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ontology based description of functional Design Knowledge and its use in a functional way server
Expert Systems With Applications, 2003Co-Authors: Yoshinobu Kitamura, Riichiro MizoguchiAbstract:In conceptual Design of engineering devices, a Designer decomposes a required function into sub-functions, so-called functional decomposition, using a kind of functional Knowledge representing achievement relations among functions. However, such Knowledge about functionality of engineering devices is usually left implicit because each Designer possesses it. Even if such Knowledge is found in documents, it is often scattered around technical domains and lacks consistency. Aiming at capturing such functional Knowledge explicitly and sharing it in Design teams, we discuss its systematic description based on functional ontologies which provide common concepts for its consistent and generic description. We propose a new concept named “way of achievement” as a key concept for capturing such functional Knowledge. Categorization of typical representations of the Knowledge and its organization as is-a hierarchies are also discussed. The generic concepts representing functionality of a device in the functional Knowledge are provided by the functional concept ontology, which makes the functional Knowledge consistent and applicable to other domains. We also discuss development of a Design supporting system using the systematized Knowledge, called a functional way server. It helps human Designers reDesign an existing engineering device by providing a wide range of alternative ways of achievement of the required function in a manner suitable for the viewpoint of each Designer and then facilitates innovative Design.
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Collaborative Ontological Engineering of Instructional Design Knowledge for an ITS Authoring Environment
2002Co-Authors: Jacqueline Bourdeau, Riichiro MizoguchiAbstract:Intelligence in an ITS authoring system could rely on content-based engineering of instructional Design (ID) Knowledge, i.e. based on principles such as conceptualization, standardization and theory -awareness. An ontology - based architecture with appropriate ontologies has been proposed for a theoryaware ITS authoring system. Ontological engineering (OE) as a collaborative process jointly conducted by an OE expert and an ID expert is presented as a step on a roadmap towards a theory-aware ITS authoring system.
Shilpa S Dani - One of the best experts on this subject based on the ideXlab platform.
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a framework to integrate Design Knowledge reuse and requirements management in engineering Design
Robotics and Computer-integrated Manufacturing, 2008Co-Authors: David Baxter, Jenny A Harding, Bob Young, Sean D Cochrane, Keith Case, Shilpa S DaniAbstract: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.
Donal Holland - One of the best experts on this subject based on the ideXlab platform.
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a qualitative investigation of Design Knowledge reuse in project based mechanical Design courses
European Journal of Engineering Education, 2019Co-Authors: Donal Holland, Conor J Walsh, Gareth J BennettAbstract:ABSTRACTThe interpretation and reuse of previous Design solutions, or precedents, is central to Design. This paper describes qualitative research conducted over three years at two institutions, aimed at investigating the role of Design Knowledge re-use in project-based mechanical Design courses. Research data were collected through participant observation, student interviews, anonymous questionnaires, and website analytics. The paper identifies challenges that must be addressed in order to support novice engineers in rehearsing the types of Knowledge required to successfully reason about and engage with Design precedents. Two categories of Design precedents are identified: concept precedents and detail precedents. Providing students with access to the latter is identified as a particular challenge, as is providing students with access to engineering communities of practice. Approaches to addressing these challenges are discussed.