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Grant: Alliance Grants

University of British Columbia

$80,000.00

Integration of AI into Manufacturing Execution System (IMES) _x000d_ _x000d_ _x000d_ _x000d_

FY 2020-21

Summary
Canada's manufacturing sector has to become more competitive and claim a larger share of the global market, currently at about 1%. The introduction of Industry 4.0 with intelligent and adaptable production techniques to Canadian manufacturers can offer significant advantages for realizing this objective. These techniques seek to integrate automation technologies with data analytics to make intelligent manufacturing decisions that are robust to perturbations and flexible to changes in production. This proposal describes the research partnership between UBC laboratories and NTWIST Inc., which in collaboration with research and industry collaborators in Germany, aim to design and implement an Intelligent Manufacturing Execution System (IMES) for broad applications in the manufacturing sector. The proposed IMES is a generic and adaptable multiagent production coordination and automation system that can be utilized by different industries to facilitate the digitalization of their production processes and faster progression towards Industry 4.0. The research responds to the need for seamless and rapid integration of artificial intelligence with machine learning and data analytics capabilities into a factory. Such capabilities are currently absent in even highly advanced MES systems. The applied artificial intelligence expertise of the UBC team and the domain expertise of NTWIST in broad industries will be incorporated to accelerate digitalization of manufacturing in Canada. Specifically, the project contributes to i) the research and development of a novel data-driven decision-making paradigm for IMES; ii) rapid integration of a machine learning system for controlling subsystems through training of their agents in an OPC UA driven manufacturing system using the developed IMES; and iii) implementation of the developed IMES in a scaled-down cyberphysical production testbed. The proposed IMES will ultimately be put to test in both Canadian and German factories which will be brought into the project by NTWIST and our German collaborators, respectively. _x000d_Le secteur manufacturier canadien doit devenir plus compétitif et revendiquer une plus grande part du marché mondial, actuellement à environ 1%. Industrie 4.0 avec des techniques de production intelligentes et adaptables pour les fabricants canadiens peut
Program
Alliance Grants
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
555220-2020
Name nom
Najjaran, Homayoun
Department département
Okanagan - Engineering, School of
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
Award amount
80000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2604
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Intelligent systems applications
Research subject fr
Applications de systèmes intelligents
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Integration of AI into Manufacturing Execution System (IMES) _x000d_ _x000d_ _x000d_ _x000d_
Keyword
NSERC
Application summary
Canada's manufacturing sector has to become more competitive and claim a larger share of the global market, currently at about 1%. The introduction of Industry 4.0 with intelligent and adaptable production techniques to Canadian manufacturers can offer significant advantages for realizing this objective. These techniques seek to integrate automation technologies with data analytics to make intelligent manufacturing decisions that are robust to perturbations and flexible to changes in production. This proposal describes the research partnership between UBC laboratories and NTWIST Inc., which in collaboration with research and industry collaborators in Germany, aim to design and implement an Intelligent Manufacturing Execution System (IMES) for broad applications in the manufacturing sector. The proposed IMES is a generic and adaptable multiagent production coordination and automation system that can be utilized by different industries to facilitate the digitalization of their production processes and faster progression towards Industry 4.0. The research responds to the need for seamless and rapid integration of artificial intelligence with machine learning and data analytics capabilities into a factory. Such capabilities are currently absent in even highly advanced MES systems. The applied artificial intelligence expertise of the UBC team and the domain expertise of NTWIST in broad industries will be incorporated to accelerate digitalization of manufacturing in Canada. Specifically, the project contributes to i) the research and development of a novel data-driven decision-making paradigm for IMES; ii) rapid integration of a machine learning system for controlling subsystems through training of their agents in an OPC UA driven manufacturing system using the developed IMES; and iii) implementation of the developed IMES in a scaled-down cyberphysical production testbed. The proposed IMES will ultimately be put to test in both Canadian and German factories which will be brought into the project by NTWIST and our German collaborators, respectively. _x000d_Le secteur manufacturier canadien doit devenir plus compétitif et revendiquer une plus grande part du marché mondial, actuellement à environ 1%. Industrie 4.0 avec des techniques de production intelligentes et adaptables pour les fabricants canadiens peut