New technologies for designing, operating and maintaining of the intelligent workshop

Special session organizer(s): Wei Qin, Shanghai Jiao Tong University; Jie Zhang, Donghua University; Liang Gao, Huazhong University of Science and Technology; Jinsong Bao, Donghua University

Address: Room 711, Main Building, School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, China
Email:, Telephone: +86-13472790428, Fax: +86-21-34206051

With the emerging technology breakthroughs in a number of fields, including robotics, artificial intelligence, quantum computing, etc., various strategies (such as Industrial 4.0, Made in China 2025) were proposed to promote the fourth industrial revolution. Intelligent workshop is one of the core units for the intelligent manufacturing, which is the main subject of the new industrial revolution. The modeling, analysis, optimization and control of the intelligent workshop, have been critical topics to drive production quality, stability and efficiency. With the deeply integration of information and manufacturing technologies, new methods for the designing, operating and maintaining of the intelligent workshop emerge to be new hotspots in the field of computer industrial engineering. Hence, this Special Session is aiming to disseminate recent research developments and significant industrial applications about the designing, operating and maintaining of the intelligent workshop. The sought contributions should target, but are not limited to, novel framework, operation and maintenance methods of the intelligent workshop. Possible topics of manuscripts for this Special Session include but are not limited to: New system architecture for the intelligent workshop Big data analytics for decision making in the intelligent workshop. Scheduling of the manufacturing systems. Predictive maintenance and condition monitoring. Product quality modeling, analysis and optimization Cyber physical systems in the intelligent workshop. Reinforcement learning for system control. Dynamic decision making in the manufacturing systems.

Data Science and Analytics for Smart Manufacturing

Special session organizer(s): Dr. Tao Peng, Zhejiang University, China; Prof. Fei Tao, Beihang University, China; Asso. Prof. Jinsong Bao, Donghua University, China; Dr. Yuqian Lu, FRAMECAD Ltd., New Zealand

Address: Room 228, Building 1, Yuquan Campus, Zhejiang University No. 38 Zheda Road, Xihu District, Hangzhou, China
Email:;;;, Telephone: +86-571-87951145, Fax: +86-571-87951145

Smart manufacturing is targeted as the next generation of manufacturing by many national and international strategic development. The increasingly rich production data (e.g. Big Data), the integration and extensive application of information technology (e.g. Internet of Things), and the intelligent data processing methods (e.g. Machine Learning) have collectively enabled smart manufacturing. The objective of this special session is to present the latest advances and developments of methods, systems, technologies, tools, and case studies that demonstrate the importance of data science and analytics in smart manufacturing. Papers are invited in, but are not limited to, the following areas:

  • Advanced data acquisition and analysis
  • Internet of Everything for smart manufacturing
  • Big data analytics in production
  • Data-driven process planning, scheduling and control
  • Predictive and preventive maintenance and diagnosis
  • Machine learning techniques in smart manufacturing
  • Data visualization for smart manufacturing
  • Digital twin driven-product design, manufacturing and service
  • Dynamic production and process planning and optimization
  • Implementation and case studies in smart manufacturing

Industrial Blockchain

Special session organizer(s): Dr. Li Zhi

Address: Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing Systems, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, China
Email:, Telephone: +86-13924262330, Fax: +86-02039322212

As a revolutionary technology, blockchain has been successfully applied in digital currency-Bitcoin and Ethereum for serving as a public database for transactions. Its core mechanism for supporting a decentralized and trustless computing system is drawing wide attention both in academia and industry. According to the recent research, blockchain has great potentials in many fields including financial services, Internet of Things (IoT), Cyber Physical Systems and Cloud Computing etc. In addition, blockchain can make an enormous effect on decentralized data sharing and transaction record, fault provenance, events tracking and so on. However, its multiple challenges should be further addressed in terms of scalability, privacy leakage, efficiency and fault tolerance. The application of industrial blockchain may change the mode of cooperation, trading system and even establish a new industrial order. Considering that industrial blockchain has a great benefit in industry 4.0 or smart manufacturing, how to utilize it as a key technology in today’s complex and changeable industrial area is an important issue. Industrial blockchain is an emerging area in the smart manufacturing which is in need of further explanation and discussions in the details, such as standardization, key technology, existing platform, infrastructure, application and algorithms.
Scope of the special session:
The purpose of this special session is to provide a high quality theoretical and application oriented papers addressing recent borders in industrial blockchain with an emphasis on industrial application. Industrial blockchain refers to the combination of industrial IoT and blockchain technology.

Next Generation Logistics and Supply Chain Management

Special session organizer(s): Prof. Huang Min

Address: College of Information Science and Engineering, Northeastern University, Shenyang, China
Email:, Telephone: +86-24-83691739

In recent years, along with economic globalization and development of Internet technologies, the next generation logistics and supply chain management, which draw attentions of researches, not only brings new opportunities for related companies, but also challenges the traditional logistics supply chain management and executing operation. Facing these challenges, emerging problems in the field of the next generation logistics and supply chain management needs to be discussed and interpretations should be given in details, such as theories, methodologies, and successful applications.

The purpose of this special session is to provides an international forum for researchers and practitioners to report updated academic developments, and exchange ideas, and to provide a series of high quality theoretical and application oriented papers, thereby enriching and deepening scientific knowledge of operational rule and optimum for the next generation of and logistics supply chain management. Topics of interest include, but are not limited to:

  • Network Design for NGLSCM
  • Risk management for NGLSCM
  • Collaborative VRP for NGLSCM
  • Customer Routing Problem for NGLSCM

Stakeholder-oriented Design Innovation of Smart Product-Service Systems

Special session organizer(s): Prof. Chun-Hsien Chen; Prof. Amy Trappey; Prof. Yingfeng Zhang; Prof. Milton Borsato; Dr. Pai Zheng

Address: 65 Nanyang Avenue, Block N3.2-B1-02, 637460, Singapore
Email:;, Telephone: +65-98975021

Recent development and implementation of advanced information and communication technologies (ICT) (e.g. Internet-of-Things (IoT), Cyber-Physical System (CPS)) triggered a promising market of smart, connected product (SCP) (e.g. smart phone), and hence, enabled the prevailing tendency of manufacturing value proposition towards a service-oriented manner, viz. smart product-service systems (PSS). Smart PSS, as a unique type of PSS, aims to achieve individual customer satisfaction with less environment impact by utilizing SCP as the tool and media, to generate various e-services as a bundle. This special session aims to present the state-of-the-art methods, tools, systems and technologies to support the stakeholder-oriented design innovation of Smart PSS. Papers are invited in, but are not limited to, the following topics:

  • Stakeholder-oriented servitization process
  • Smart service design
  • Smart, connected product development
  • Data-driven service innovation methodologies
  • Knowledge acquisition, representation and reasoning in smart product-service systems
  • Product-service lifecycle co-creation process
  • IoT-enabled product-service innovation
  • Digital twin-driven product-service innovation
  • Stakeholders interaction in a smart, connected environment
  • User experience in the context of smart product-service systems
  • Implementation and case studies in smart product-service systems

Papers to a special session should be submitted through the Easychair conference management system.