• Shuangyu Wei, Yuewei Bai, Xiaogang Wang, Liu Kai, Lai Xu, Paul de Vrieze, and John Paul Kasse. A New Method for Manufacturing Process Autonomous Planning in Intelligent Manufacturing System. CAiSE 2019 Workshops, Lecture Notes in Business Information Processing. 2019, 349, pp. 51-63.

  • Jinhua Jiang, Qin Qin, Yuewei Bai, and Zhenyu Chen. Design of Meshing Assembly Algorithms for Industrial Gears Based on Image Recognition. CAiSE 2019 Workshops, Lecture Notes in Business Information Processing. 2019, 349, pp. 64-72

  • Guorong Cai, Yuewei Bai, et al.Research and Application of University Building Energy Consumption Management and Control Technology Based on IoT&AI. ICCCT 2019. (accepted)

  • Pan Fangyu, Yuewei Bai, et cal. The Error Modeling And Measurement of 3-axis Machine Tools. MPEMS 2019 (accepted)

  • Salierno, Giulio; Cabri, Giacomo; Leonardi, Letizia; (2019). Different Perspectives of a Factory of the Future: An Overview. CAiSE 2019 Workshops. Springer. 2019

  • A Reference Architecture for Big Data Systems - A look at existing big data systems to abstract reference architecture for the use and management of big data, which is collected from smart factory, digital factory and virtual factory research. Managing big data systems is an important aspect of the interoperability framework of virtual factories.
  • Resilience Analysis of Service-oriented Collaboration Process Management Systems - A proposed evaluation model for measuring the resilience of service-oriented collaborative systems. This research is particularly related to the design and implementation of a useful interoperability framework for virtual factory manufacturing.
  • Supporting Collaborative Business Processes: a BPaaS Approach – This publication proposes an architecture meta-model, which is used to design the concrete architecture and to further analyse the performance of the proposed solution, which has shown the significant service improvement. The work can be adopted to design and implement a cloud-based framework for supporting collaborative processes, such as virtual factory manufacturing.
  • A Comparative Assessment of Collaborative Business Process Verification Approaches - Presents an assessment of the most common verification approaches based on their expressibility, flexibility, suitability and complexity.
  • Simplifying Big Data Analytics Systems with A Reference Architecture – This publication aims to simplify big data analytics by providing reference architecture based on existing four use cases. Big data analytics is a key perspective for realizing industry 4.0 as well as virtual factory manufacturing.
  • The Need for Compliance Verification in Collaborative Business Processes - A proactive approach aiming to discuss the need for design time preventative compliance verification as opposed to after effect runtime detective approach.
  • Dealing with data and software interoperability issues in a virtual factory. This publication discusses an interoperability architecture in a virtual factory. To this end, it delves into the issue by analysing the main challenges that must be addressed to support an integrated and scalable virtual factory architecture characterized by access to services, aggregation of data, and orchestration of production processes.



  • Aiello M., Bai Y., Cabri G., Eder N., Mandreoli F., Mecella M., Mu H., Phalp K., de Vrieze P., Xu L. and Yu H. (2017) FIRST - virtual Factories: Interoperation suppoRting buSiness innovaTion. (Poster).  European Project Space (EPS) at the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. Funchal, Madeira, Portugal, 1-3 Nov. 2017
  • Sang G, Xu L, de Vrieze P. (2017) Simplifying Big Data Analytics System with A Reference Architecture. In: 18th IFIP Working Conference on Virtual Enterprises (PRO-VE 2017), Vicenza, Italy, 18 Sep 2017 - 20 Sep 2017.  Springer. Addresses WP1.
  • Kasse JP, Xu L, de Vrieze P (2017) A Comparative Assessment of Collaborative Business Process Verification Approaches. In:18th IFIP Working Conference on Virtual Enterprises (PRO-VE 2017), Vicenza, Italy, 18 Sep 2017 - 20 Sep 2017. Springer. Addresses WP4.
  • I. Georgievski, F. Nizamic, A. Lazovik, and M. Aiello (2017) Cloud Ready Applications Composed via HTN Planning, in Service Oriented Computing and Applications (SOCA`17). 
  • A.R.Pratama, A. Lazovik, M. Aiello (2017) Power-Based Device Recognition for Occupancy Detection, in Second Workshop on IOT Systems Provisioning & Management for Context-Aware Smart Cities (in conjuction with ICSOC’17).
  • Marco Aiello, Yuewei Bai, Giacomo Cabri, Norbert Eder, Federica Mandreoli, Massimo Mecella, Hua Mu, Keith Phalp, Paul de Vrieze, Lai Xu and Hongnian Yu. (2017) EU H2020 FIRST- vF Interoperation suppoRting buSiness innovation. Network Plus: Industrial Systems in the Digital Age Conference 2017, Glasgow, UK, 20 Jun 2017 - 21 Jun 2017. 20 Jun 2017.  Addresses WP1.
  • Pan FY., Nie L., Bai, YW., etc. (2017). Geometric errors measurement for coordinate measuring machines, In: Iop Conference Series: Earth & Environmental Science, 2017, 81(1): 117-121
  • Yao T., Zhang, ZB., etc.(2017). Applied research of MES for manufacturing enterprises in ship military industry, Journal of Modern manufacturing engineering, 2017, 03, pp 31-37( in Chinese)
  • ZHANG Jin., YANG Jian- Kang., etc. .(2017). Field Quality Data Acquisition System Based on Android Platform, Journal of  Computer Systems & Applications, 2017, 25(9), pp 109-112( in Chinese)
  • Pan FY., Bai YW., etc. (2017). Geometric Error Modeling and Measurement for Coordinate Measuring Machines,  Journal of Shanghai Polytechnic University, 2017, 34 (1): pp 37 - 42( in Chinese)
  • WU XY., Bai YW., etc. (2017), 33(4). The Improvement of In-Line Compressive Holographic Reconstruction Quality Based on the Method of Focusing, Journal of Shanghai Polytechnic University, 2017, 33 (4): pp 320 - 325( in Chinese)
Copyright 2017-2018, FIRST Consortium - This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734599