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: wqin@sjtu.edu.cn, 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: tao_peng@zju.edu.cn; taofei9999@163.com; bao@dhu.edu.cn; yuqian.m.lu@gmail.com, 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: topstream@gmail.com, 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: mhuang@mail.neu.edu.cn, 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: ericzheng@ntu.edu.sg; mchchen@ntu.edu.sg, 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

Efficiency & Productivity

Special session organizer(s): Prof. Mehdi Toloo, Technical University of Ostrava, Czech Republic

Address: Sokolská třída 33, 702 00, Ostrava, Czech Republic
Email: mehdi.toloo@vsb.cz, Telephone: +42-0792272272

Efficiency and productivity growth enables businesses to reduce cost, gain competitive advantage and enhance market share at the micro level. At the macro level, it helps a country to counteract inflation, create job opportunities, force the necessary industrial restructuring at the macro, and hence to improve the economic situation. There is widespread and pervasive consensus among academic researchers in the field of growth theory, policy makers, and/or businessmen that efficiency and productivity growth is indispensable to sustainable economic growth. The thrust of this session is to present both theoretical and practical recent researches dealing with efficiency, productivity and performance measurement and improvement. Topics of interest include, but are not limited to, following topics:

  • Productivity measurement: parametric and nonparametric approaches
  • Efficiency measurement and its improvements
  • Performance measurement tools and techniques
  • Data Envelopment Analysis (DEA) and its recent applications
  • Case study

Sustainability & Innovation

Special session organizer(s): Dr. Abraham Zhang*, Auckland University of Technology, New Zealand; Dr. Lincoln Wood, University of Otago, New Zealand

Address: WY329, Auckland University of Technology (AUT) Business School, Auckland, New Zealand
abraham.zhang@aut.ac.nz, Telephone: +64-9-921 9999 ext 5327

In the past decade, many organizations have become much more conscious of two interrelated capabilities: sustainability and innovation. This trend has been driven by many recent developments: Our mother earth faces serious environmental degradation issues. Many economies have passed more stringent environmental legislations. Several highly disastrous industry accidents brought to light social sustainability issues in global sourcing. Competition continues to intensify in many product and service sectors. Furthermore, many global supply chains were severely disrupted by man-made or natural disasters. Many organizations have invested in capabilities to enhance their continuity of business and resilience to shocks, and/or have implemented strategies for improving environmental and social sustainability. Innovations are often at the heart of these initiatives, enabling organizations to deliver superior value to stakeholders.

This special session calls for contributions in sustainability and innovation in operations and supply chain management, welcoming a wide range of research methodologies including optimization, simulation, and empirical methods. Topics of interest include, but are not limited to, supply chain management for a circular economy, cleaner production, green procurement, green logistics, end-of-life product management, reverse logistics, waste management, social sustainability in global sourcing, compliance management, supply chain robustness, supply chain resilience, collaborative innovation, technological innovation, business model innovation, etc.


Digital Twin: Theories, challenges, methodologies and applications

Special session organizer(s): Dr. Yuqian Lu; Mr. Chao Liu, University of Auckland, New Zealand; Prof. Fei Tao, Beihang University, China; Dr. Ang Liu, University of New South Wales, Australia; Dr. Peter Papcun, Technical University of Košice, Slovakia.

Address: 115 Felton Mathew Ave, St Johns, Auckland 1072, New Zealand
yuqian.m.lu@gmail.com, taofei9999@163.com, ang.liu@unsw.edu.au, Telephone: +64 (9) 280 0608

Digital Twin is the virtual representation of a physical object or system across its life-cycle. It uses real-time data and other sources to enable learning, reasoning, and dynamically recalibrating for improved decision making. It is disrupting the operations in a growing number of industries, such as aerospace, retail and healthcare, by making it easier to design and operate complex products and processes ranging from wind turbines to supermarket aisles. According to Deloitte, the global market for Digital Twin technologies is expected to grow to reach $16 billion by 2023, while the technologies that underpin the movement – such as IoT and machine learning deployment – are predicted to almost double by 2020.

The objective of this special session is to present the latest advances and developments of theories, methodologies, technologies, and case studies of Digital Twin. Papers are invited in, but not limited to, the following topics:

  • Development/Modelling methodology for Digital Twin
  • Data collection and processing for Digital Twin
  • Data analytics methods and applications for Digital Twin
  • Digital Twin standards and applications
  • Security and privacy for Digital Twin
  • Digital Twin for product design, manufacturing, and management
  • Implementation and case studies

Cloud-enabled Cyber-Physical Production Systems (C2P2S)

Special session organizer(s): Professor Xun Xu, Professor Lihui Wang, Dr. Vincent Xi Wang, Shohin Aheleroff, Dr. Ray Zhong, University of Auckland, New Zealand; Professor Iveta Zolotova, Technical University of Košice, Slovakia.

Address: 401.1002, Level 10 of Engineering Building, 22 Symonds Street, Auckland, New Zealand
xun.xu@auckland.ac.nz, Telephone: +64(9)3737599 ext.84527, Fax: +64(9)3737479

“Cloud-enabled Cyber-Physical Production Systems (C2P2S)” by leveraging the cutting-edge information and communication technology such as cloud technology, cyber-physical systems and Internet of Things to improving the manufacturing industry. C2P2S will enable the integration of processes, systems, computation and networking, where embedded computers and networks can monitor and control a product, production system or production processes. As a result, production systems will no longer exist as isolated manufacturing equipment. They will be services or solutions that can be provisioned and/or purchased via the Internet. New service offerings will be generated as a result of increased monitoring and assessment of equipment and products, use of smart data analytics and incorporation of other data in the cloud. Through this, manufacturing companies can effectively share their resources and expertise, and provide an integrated product/equipment/service package to customers.

This arises through enhanced competitive advantage, generation of new services and their provision, and increased efficiency and agility. The C2P2S also enables multiple enterprises to work collaboratively, creating scale, offering joint products and services.


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