SDG INNOVATION NETWORK
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SDG INNOVATION NETWORK SDG INNOVATION NETWORK
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Research Domain

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

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

The development of leveraged technology 5.0 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 5.0 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 5.0 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 5.0 of the organizations;

  • Study of humans place in transformation 5.0;

  • Studies of innovation processes 5.0 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 5.0 technologies on employee work and communication structures in organizations;

  • Studies of the economic impact of innovation 5.0;

  • Studies of the impact of 5.0 technologies on the ergonomics of human work.

SDG INNOVATION NETWORK

Innovation SDG Network is a promising initiative for which the Quebec and Canada governments have expressed an interest. Faced with a growing need for organizations in terms of technological development and support in this digital shift, members of Innovation SDG Network consider that there is a need to support the university mission in this area, in collaboration with initiatives already in place such as ADRIQ, CRIQ, IVADO, ENCQOR.

News

  • Highlights from the Salon Connexion – May 28, 2025
  • The SDG Innovation™ Network: A Key Player in Quebec’s Innovation Ecosystem
  • IMAA Meeting with the KARI Delegation on Advanced Air Mobility

Activities

  • Online Course: Certificate in Application of Emerging Cyber Technologies to Aerospace
  • International Conference on Smart-Digital-Green Technologies and Artificial Intelligence Sciences (SDGTAIS)

Contact Us

Office Location

Phone No.

Email Address

info@sdginnovnetwk.com

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