Research Domain

The research areas of the Network focus primarily on five fundamental aspects:

 

The development of leveraged technology 4.0 applied:

  • Development of connected, remotely configurable and autonomous industrial objects for real-time monitoring and control of operations;

  • Development of cloud computing systems for the sharing of industrial information (ex., product design and industrialization) and the coordination of value creation networks;

  • Development of applied and dedicated data analysis technologies predictive maintenance;

  • Develop standardization and system integration tools for multidisciplinary optimization of product and production system design;

  • Develop machine learning and machine vision technologies for quality inspection in complex product environments;

  • Develop augmented reality technologies applied to support complex operations;

  • Develop hybrid systems applied to the planning and control of operations (ex., simulation, optimization, machine learning);

  • Develop IT security technologies for distributed industrial operations management systems;

  • Develop technologies to monitor the physical efforts of human work in real time.

 

 

The development of technology 4.0 applications in partners:

  • Development of an Internet-based business control system for industrial objects in a company;

  • Development of a system to assist the design of manufactured parts in a partner using machine learning to predict the service life of parts;

  • Development of an agile control system for handling in a partner’s mines;

  • Development of an intelligent product distribution system in a future hospital.

 

 

The deployment of technology 4.0 in organizations and society:

  • Studies of the deployment of an Internet based operation control system of industrial objects to a partner;

  • Studies of strategies and approaches for the digital shift of manufacturing SMEs (ex., diagnostics, digital business models, transformation approaches, manufacturing strategies and distribution);

  • Reengineering method development 4.0 of the organizations;

  • Study of humans place in transformation 4.0;

  • Studies of innovation processes 4.0 in organizations and ecosystems of technological innovation.

 

 

The design of connected and intelligent systems:

  • Development of methods for designing and evaluating the performance of agile reconfigurable manufacturing systems;

  • Principles and design methods for intelligent autonomous industrial and logistics systems;

  • Development of an agent-based methodological framework for the design and coordination of agile production and logistics networks;

  • Development of a modeling framework for the design and evaluation of value creation networks.

 

 

Analysis of the impacts of these technologies:

  • Studies of the impact of 4.0 technologies on employee work and communication structures in organizations;

  • Studies of the economic impact of innovation 4.0;

  • Studies of the impact of 4.0 technologies on the ergonomics of human work.

INNOVATION 4.0 NETWORK IN NUMBERS

  • More than 300 professors across the 8 universities

  • 9 main research areas

  • 10 business sectors

  • About 70 industrial partners

  • Several national and international partners

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