Scope

The study scope is moving towards the implementation of Industry 4.0 principles in manufacturing systems while looking at Industry 4.0-based characteristics that lead to build the future smart factories. This scope is motivated in the welcome page of this TC.

The main research interests addressed in this scope are currently organized in the following topics’ list, defined both building on past experiences and future visions:

  • Intelligent Manufacturing System (IMS) Modeling and Experimentation
  • Integrated design and process planning of the manufacturing
  • Production and Logistics over Manufacturing Networking
  • Manufacturing Automation over Networks
  • Dependable Manufacturing Systems Control
  • Discrete Event Systems in Manufacturing
  • e-Manufacturing Technologies and Facilities
  • Advanced maintenance modelling for dependable systems
  • Intelligent Inspection and Predictive Quality Control
  • Prognostics and Health Management (PHM)
  • Digital Twins for advanced plant operations
  • Artificial Intelligence in the shop floor operations and flow control
  • Digitalization through the manufacturing chain from product design to production
  • Trustworthy human-system integration in manufacturing plant control
  • Intelligent Manufacturing System (IMS) for sustainable operations

The topics’ list is defined at the general level of the TC, while is further specified in the research agenda of the working groups affiliated to the TC.

Working Groups

  • Working Group 1 : Intelligent Manufacturing Systems (Acronym WG  IMS)- Chair: Ahmad BARARI

The working group investigates and develops novel solutions for manufacturing control systems that merge know-how from control engineering, software engineering and complex adaptive systems research. This results in novel designs promising scale-ability, re-usability, integrate-ability and robustness.

Efforts have three focus directions: (1) Developing technologies that enable, facilitate and advance the possible implementation of Industry 4.0 elements in shop-floors; (2) Developing modelling and analytical tools for intelligent, effective and efficient control of the manufacturing shop-floors; (3) Validation of the concepts through realistic testing campaigns on industrial test cases. To this end, a suitable benchmarking platform and technology is developed. Recent efforts include various studies related to both technologies and modelling techniques for Industry 4.0. and Internet of Things (IoT). On a more fundamental level, efforts are directed at integrating any combination of Artificial Intelligence (AI) techniques, considering a range of applications including artificial vision, voice recognition, sensor-fusion, deep-learning, fuzzy-logic, control modelling, self-organizing systems and combinatorial optimization for improving the plant operation. Concerning industrial relevance, the working group looks into ‘visibility’ as an explicit objective next to designing systems based on ‘future-proof components’.

For news have a look in the news page.

    • Working Group 2 : Dependable Manufacturing Systems and Discrete Event System (Acronym WG DMDES) - Chair : Jean Marc FAURE

The working group DMDES (Dependable Manufacturing and Discrete Event Systems) is a WG common to TC 1.3 and 5.1 that is aiming at promoting research works in the domain of modeling, analysis and synthesis of critical manufacturing and complex systems which can be represented as DES, so as to improve the overall dependability of these systems

The Working Group DMDES is a WG common to TC1.3. and TC 5.1. that is aiming at promoting research works in the domain of modeling, analysis and synthesis of critical manufacturing and complex systems which can be represented as DES, so as to improve the overall dependability of these systems. The main research issues which are addressed are:

      • Formal synthesis, verification and test methods for design, implementation, validation and certification of dependable automation system
      • Formal safety analysis,
      • Dependability of networked automation systems,
      • Fault Detection and Isolation (FDI), diagnosis, Prognosis, Reconfiguration of DES.

    • Working Group 3: Advanced Maintenance Engineering, Services and Technology (Acronym WG AMEST) - Chair: Christos EMMANOULIDIS

This working group is addressing the general problem of "maintenance engineering, services and technology". It aims at overcoming the divide situation among maintenance related disciplines and actors. In that way, its main research objectives are to develop a general framework for the (advanced) maintenance area, to generate perspectives of the future trends in maintenance, intelligent maintenance, and also to promote Maintenance as a Science and to define a research agenda in the maintenance area.

The working group promotes interdisciplinary approaches, fostering the importance of maintenance services and new business models in the lifecycle management of manufactured assets. Overall, blending technology, engineering and management is a relevant means in order “to go beyond”, by implementation of proactive strategies not only focused on maintenance objectives but also on the objectives of environmental protection, wealth and safety of people.

The maintenance topics of interest for this WG are the following:

    • Maintenance strategies, organizational and economical methods, business models
    • Asset and maintenance management
    • Maintenance related services
    • E-maintenance technology and processes
    • Diagnostics, prognostics, reasoning and decision support
    • Condition monitoring, sensors, signal analysis and failure analysis
    • Reliability, statistical approaches
    • Prognostics and Health Management (PHM)
    • Predictive Maintenance Technologies and Methodologies

For news have a look in the news page.