Grant: Discovery Grants Program - Individual
École de technologie supérieure
$38,000.00
Advancing Simulation Theory and Practice for Intelligent Production and Logistics Systems Design, Analysis and Applications in the Context of Industry 4.0/5.0
EF 2024-25
Résumé
Industry 4.0/5.0 (I4.0/I5.0) is a core strategy for innovating and increasing competitiveness in the manufacturing sector in an increasingly digital global economy. Despite its growing relevance, I4.0/I5.0 is not yet well established in practice, and further knowledge and practice-enhancing research efforts are required to advance its realization. With this in mind, modelling and simulation (M&S) are considered a key technology that can advance the realization of I4.0/I5.0 and the new generations of intelligent manufacturing systems since it enables their investigation from different perspectives (strategic, tactical, operational), including technological, human and organizational aspects. Nevertheless, the advancement of I4.0/I5.0 poses challenges to the field of M&S given the growing complexity of systems to be modelled.
The long-term objective of this research program is to advance simulation-based engineering science and digital twin (DT) technology in the context of I4.0/I5.0 to enable high-confidence intelligent and cognitive manufacturing systems design, analysis and applications. This research program aims to develop a cognitive DT platform for autonomous intelligent manufacturing systems. To this end, different new artifacts (models, methods, algorithms, and prototype systems) will be developed to facilitate the realization of I4.0/I5.0 application scenarios (order-controlled production, adaptable factory, self-organizing adaptive logistics, operator support in production), to enable concrete applications in industry. The three interrelated and complementary short-term objectives defined in this research program (the next five years) are: (1) to develop context-aware models for DTs to enhance their physical counterparts representation; (2) to develop coordination and control models for enabling networked DTs; and (3) to develop humans-to-DT interaction models. The achievement of these objectives involves the development of a testbed and proof-of-concept cases in collaboration with the Réseau CÉOSNet which is financed by the Canada Foundation for Innovation (CFI) and managed by the Réseau SDG Innovation Network. Moreover, due to its multidisciplinary nature, this research will involve collaborators from different backgrounds.
The expected contribution of this research program is significant and impactful since it will advance knowledge and practice in simulation science and DT technology in the context of I4.0/I5.0. It can contribute significantly to realizing the full potential of DTs across a wide range of industries and applications and enable intelligent and cognitive manufacturing that can help foster innovation and the competitiveness of the Canadian manufacturing sector, which is facing various challenges (labour shortage, aging). Moreover, it will provide training opportunities for graduate and undergraduate students in cutting-edge technologies, equipping them with skills that are in high demand in the Canadian industry.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2024-03880
Name nom
Ferreira, William
Department département
Systems Engineering
Organization id
53
Institution établissement
École de technologie supérieure
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
38000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
520
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Production and operations management
Area of application fr
Production et gestion des opérations
Research subject code
1600
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Industrial engineering
Research subject fr
Génie industriel
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Advancing Simulation Theory and Practice for Intelligent Production and Logistics Systems Design, Analysis and Applications in the Context of Industry 4.0/5.0
Keywords
industry 4.0/5.0; intelligent manufacturing; modeling and simulation; multi--agent systems; cyber physical production systems; digital manufacturing; virtual commissioning; digital twins; artificial intelligence; cognitive manufacturing systems
Application summary
Industry 4.0/5.0 (I4.0/I5.0) is a core strategy for innovating and increasing competitiveness in the manufacturing sector in an increasingly digital global economy. Despite its growing relevance, I4.0/I5.0 is not yet well established in practice, and further knowledge and practice-enhancing research efforts are required to advance its realization. With this in mind, modelling and simulation (M&S) are considered a key technology that can advance the realization of I4.0/I5.0 and the new generations of intelligent manufacturing systems since it enables their investigation from different perspectives (strategic, tactical, operational), including technological, human and organizational aspects. Nevertheless, the advancement of I4.0/I5.0 poses challenges to the field of M&S given the growing complexity of systems to be modelled.
The long-term objective of this research program is to advance simulation-based engineering science and digital twin (DT) technology in the context of I4.0/I5.0 to enable high-confidence intelligent and cognitive manufacturing systems design, analysis and applications. This research program aims to develop a cognitive DT platform for autonomous intelligent manufacturing systems. To this end, different new artifacts (models, methods, algorithms, and prototype systems) will be developed to facilitate the realization of I4.0/I5.0 application scenarios (order-controlled production, adaptable factory, self-organizing adaptive logistics, operator support in production), to enable concrete applications in industry. The three interrelated and complementary short-term objectives defined in this research program (the next five years) are: (1) to develop context-aware models for DTs to enhance their physical counterparts representation; (2) to develop coordination and control models for enabling networked DTs; and (3) to develop humans-to-DT interaction models. The achievement of these objectives involves the development of a testbed and proof-of-concept cases in collaboration with the Réseau CÉOSNet which is financed by the Canada Foundation for Innovation (CFI) and managed by the Réseau SDG Innovation Network. Moreover, due to its multidisciplinary nature, this research will involve collaborators from different backgrounds.
The expected contribution of this research program is significant and impactful since it will advance knowledge and practice in simulation science and DT technology in the context of I4.0/I5.0. It can contribute significantly to realizing the full potential of DTs across a wide range of industries and applications and enable intelligent and cognitive manufacturing that can help foster innovation and the competitiveness of the Canadian manufacturing sector, which is facing various challenges (labour shortage, aging). Moreover, it will provide training opportunities for graduate and undergraduate students in cutting-edge technologies, equipping them with skills that are in high demand in the Canadian industry.