A Design Communication Framework Based on Structured Knowledge Representation

The global manufacturing industry is entering an era of considerable growth and innovation due to radical developments in advanced technologies. Knowledge remains crucial in improving product design, decision making, productivity, and increasing the speed of innovation. Communication is at the heart of knowledge exchange between stakeholders, especially those with different technical and social backgrounds. However, significant barriers exist when sharing product design knowledge due to the lack of available formalized tools and methods. In this article, to facilitate knowledge exchange and collaboration among stakeholders during product design, a method to systematically improve the understanding of target objects, including the composition of the object, nature of the object, and tools to support its related communication, is proposed. Further, a knowledge representation framework is described which enables parties to clearly understand the characteristics of the object and greatly improve communication efficiency. A case study is presented to validate how the proposed framework provides valuable insights into the improvement of design communication and contributes to global manufacturing development.

[1]  Olivia Penas,et al.  A semantic dictionnary to support multidisciplinary design collaboration in an extended enterprise context , 2019, 2019 20th International Conference on Research and Education in Mechatronics (REM).

[2]  Enrico Motta,et al.  Improving comprehension of knowledge representation languages: A case study with Description Logics , 2019, Int. J. Hum. Comput. Stud..

[3]  Xinxin Li,et al.  Semantic hyper-graph-based knowledge representation architecture for complex product development , 2018, Comput. Ind..

[4]  Rui Wang,et al.  A Preliminary Study on Generalized Manufacturing System of Industrial Cluster Based on Knowledge Collaboration , 2018, 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

[5]  Steven K. Ayer,et al.  Using Mixed Reality for electrical construction design communication , 2018 .

[6]  Jaeyoul Chun,et al.  Group Decision-Making and a Design Communication Model Using Quality Function Deployment , 2018 .

[7]  Jeffrey Boon Hui Yap,et al.  Collaborative model: Managing design changes with reusable project experiences through project learning and effective communication , 2017 .

[8]  Heming Zhang,et al.  A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model , 2017, Adv. Eng. Informatics.

[9]  Jean-Bernard Martens,et al.  The Role of Narrative Transportation Experience in Design Communication , 2017, HCI.

[10]  Tsung Lee,et al.  Space-based parallel program design process with high-level communication channels , 2017 .

[11]  Mohammad H. Eslami,et al.  Knowledge integration with customers in collaborative product development projects , 2016 .

[12]  Morteza Poorkiany,et al.  Capturing, structuring and accessing design rationale in integrated product design and manufacturing processes , 2016, Adv. Eng. Informatics.

[13]  Ben J. Hicks,et al.  Supporting engineering design communication using a custom-built social media tool - PartBook , 2015, Adv. Eng. Informatics.

[14]  Sylvain Kubler,et al.  Enhanced Product Lifecycle Information Management using "communicating materials" , 2015, Comput. Aided Des..

[15]  B. Dankbaar,et al.  Spatial Aspects of Interfirm Collaboration: An Exploration of Firm-Level Knowledge Dynamics , 2015 .

[16]  Yong Chen,et al.  A part affordance-based approach for capturing detailed design knowledge , 2013, Comput. Aided Des..

[17]  Ben J. Hicks,et al.  Opus: University of Bath Online Publication Store a Social Media Framework to Support Engineering Design Communication , 2022 .

[18]  Linda L. Zhang,et al.  SysML-based design chain information modeling for variety management in production reconfiguration , 2013, J. Intell. Manuf..

[19]  Jelle van Dijk,et al.  Scaffolds for design communication: Research through design of shared understanding in design meetings , 2013, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[20]  Maaike Kleinsmann,et al.  Studying and supporting design communication , 2013, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[21]  John Stevens,et al.  Design as communication in microstrategy: Strategic sensemaking and sensegiving mediated through designed artifacts , 2013, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[22]  Christopher F. Earl,et al.  Formality in design communication , 2013, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[23]  Mario Storga,et al.  Facilitating design communication through engineering information traceability , 2013, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[24]  Yong Chen,et al.  Knowledge flow in engineering design: An ontological framework , 2013 .

[25]  John Riker Haymaker,et al.  Evaluating and improving the effectiveness and efficiency of design process communication , 2013, Adv. Eng. Informatics.

[26]  Mohammed Maniruzzaman,et al.  QuenchML: A semantics-preserving markup language for knowledge representation in quenching , 2013, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[27]  Mats Näsström,et al.  Supporting engineering decisions through contextual, model-oriented communication and knowledge-based engineering in simulation-driven product development: an automotive case study , 2013 .

[28]  Jason Swarts,et al.  Communication design , 2012, CDQR.

[29]  Jie Hu,et al.  FCBS model for functional knowledge representation in conceptual design , 2012 .

[30]  W. van Eerde,et al.  Bringing employees closer: The effect of proximity on communication when teams function under time pressure , 2012 .

[31]  Yong Chen,et al.  A knowledge-based framework for creative conceptual design of multi-disciplinary systems , 2012, Comput. Aided Des..

[32]  Anja M. Maier,et al.  IMPROVING COMMUNICATION IN DESIGN: RECOMMENDATIONS FROM THE LITERATURE , 2011 .

[33]  Dong Yang,et al.  Ontology-based service product configuration system modeling and development , 2011, Expert Syst. Appl..

[34]  Santosh Jagtap,et al.  In-service information required by engineering designers , 2011 .

[35]  Jean-François Boujut,et al.  An annotation model to reduce ambiguity in design communication , 2009 .

[36]  P. Clarkson,et al.  Design as communication: exploring the validity and utility of relating intention to interpretation , 2008 .

[37]  Amaresh Chakrabarti,et al.  Understanding the Knowledge Needs of Designers During Design Process in Industry , 2008, J. Comput. Inf. Sci. Eng..

[38]  Jože Tavčar,et al.  Skills for effective communication and work in global product development teams , 2005 .

[39]  Andy Dong,et al.  The latent semantic approach to studying design team communication , 2005 .

[40]  Pj Clarkson,et al.  A meta-model for communication in engineering design , 2005 .

[41]  Yong Zeng,et al.  Environment-Based formulation of Design Problem , 2004, Trans. SDPS.

[42]  Ken M. Wallace,et al.  Understanding the knowledge needs of novice designers in the aerospace industry , 2004 .

[43]  Sara A. McComb,et al.  Examining a curvilinear relationship between communication frequency and team performance in cross-functional project teams , 2003, IEEE Trans. Engineering Management.

[44]  Steven D. Eppinger,et al.  Sloan School of Management Working Paper Factors That Influence Technical Communication in Distributed Product Development: an Empirical Study in the Telecommunications Industry Factors That Influence Technical Communication in Distributed Product Development: an Empirical Study in the Telecommunica , 2022 .

[45]  Annouk Lievens,et al.  Communication flows in international product innovation teams , 2000 .

[46]  E. Hietikko,et al.  Visualized Data - Tool to Improve Communication in Distributed Product Development Products , 2000, IEEE Engineering Management Review.

[47]  Abbie Griffin,et al.  Managing communication in global product development teams , 1999 .

[48]  Frank M. Shipman,et al.  Integrating different perspectives on design rationale: Supporting the emergence of design rationale from design communication , 1997, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[49]  Peter Szolovits,et al.  What Is a Knowledge Representation? , 1993, AI Mag..

[50]  John S. Gero,et al.  Design Prototypes: A Knowledge Representation Schema for Design , 1990, AI Mag..

[51]  Mark A. Clark,et al.  Communication modes in collaboration: an empirical assessment of metaphors, visualization, and narratives in multidisciplinary design student teams , 2019 .

[52]  Siqi Qiu,et al.  An integrated module-based reasoning and axiomatic design approach for new product design under incomplete information environment , 2019, Comput. Ind. Eng..

[53]  Dennis Eichmann,et al.  Design Science Introduction To Needs Scope And Organization Of Engineering Design Knowledge , 2016 .

[54]  Lijuan Zhu,et al.  Knowledge Representation and Ontology Mapping Methods for Product Data in Engineering Applications , 2010, J. Comput. Inf. Sci. Eng..

[55]  Alain Bernard,et al.  RFBS: A model for knowledge representation of conceptual design , 2010 .

[56]  S D Eppinger,et al.  Innovation at the speed of information. , 2001, Harvard business review.