Xinyu Li, Pai Zheng, Bo Song
Email(s): Cash.Li@ntu.edu.sg; Pai.Zheng@polyu.edu.hk; Bosong@shmtu.edu.cn
In this era of mass-innovation, multi-stakeholders are more tightly engaged in smart product and service design and operation, where increasingly frequent transdisciplinary and cross-organization collaborations result in an explosive integration and innovation of engineering concepts, experience, theories, and methodologies. Considering human’s limited cognitive ability and specialty, advanced AI techniques and computing methods are leveraged to facilitate product/service design and operation in all aspects. Transdisciplinary engineering informatics is emerging in smart product and service design and operation, aiming to solve the severing contradiction between multifarious heterogeneous resources and conventional approaches for data/information/knowledge management.
With particular emphases both on ‘transdisciplinary knowledge’ and ‘product/service design and operation’, transdisciplinary engineering informatics is essential to (1) synthesize the massive amounts of multi-source heterogeneous user-generated and product-sensed data for transdisciplinary design/operation knowledge elicitation; (2) establish a knowledge-based, sustainable and explainable manner for evolving product/service design and optimizing its operation with multiple concerns; (3) investigate a human-centric mechanism for transdisciplinary knowledge storing/sharing/reusing in product/service design and operation; and (4) improve the productivity and creativity of transdisciplinary and cross-organization collaborations with practical informatics-based tools and systems.
Given those factors, this workshop aims to discuss the state-of-the-art, informatics-based approaches, tools and systems to support smart product/service design and operation. Talks are invited in, but are not limited to, the following topics:
- Systematic framework for transdisciplinary knowledge-based smart product-service system design
- Transdisciplinary approaches to smart products and services innovation
- Multi-source heterogeneous data-driven products and services evolvement
- Deep-learning based text mining and public opinion analysis for smart service design
- Data-driven optimization of product and service operation in the whole lifecycle
- Semantic-based transdisciplinary design/operation knowledge representation/reasoning/ recommendation
- Construction and application of transdisciplinary ontology and knowledge graph
- Transdisciplinary knowledge-based decision-support systems
- Theoretical investigations and experiment design for transdisciplinary engineering thinking
- Human-centric approaches and tools for transdisciplinary knowledge reuse/transfer
- Informatics-based methods for design/operation team collaboration and productivity-improving
Invited Guests
Prof. Chun-Hsien Chen, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Prof. Amy J.C. Trappey, Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan
Prof. Wei Yan, China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China
Prof. Zuhua Jiang, Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China
TE2020 Workshop Organizers
Dr Xinyu Li, DELTA-NTU Corporate Lab for Cyber-Physical Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Dr Pai Zheng, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Dr Bo Song, China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China