Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
University of Victoria
$200,000.00
Smart agri-food supply chain digital twinning
FY 2019-20 · 2020-03-26
Summary
The goal is to investigate intelligent management of supply chain digital twinning with application to the Global Agri-Food Value Chain (GAVC) that improves food quality and safety. GAVCs often span across the globe and involves various organizations that vary in production approaches and standards with regulatory actors and government regimes that vary in competence and transparency. The global distribution of agri-food products is creating longer and more complex supply chains that obscure traditional methods of oversight, coordination and collaboration.In recent years, there is an increased interest in the digitalisation and digital transformation of production processes and supply chains resulting from the acceleration of technological development such as the fourth industrial revolution (Industry 4.0). In this project, the focus on artificial intelligence solutions to integrate value chains across firms and manage the infusion of data to address many challenges such as complexity, uncertainty, risk, visibility, collaboration, cost, and sustainability.
Department
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Recipient
Location
Victoria|Victoria, British Columbia, Canada
Recipient Type
Academia
Business Number
108162470
Type
Grant
Source
Proactive Disclosure - Grants and Contributions
As published
Additional Information
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 365 days
Additional Information (French)
Cet accord a été modifié 1 fois. La date de fin du présent accord a été changé de 365 jours.
Agreement End Date
2023-03-31
Agreement Number
947416
Agreement Start Date
2020-03-26
Agreement Title
Smart agri-food supply chain digital twinning
Agreement Title (French)
Jumelage numérique intelligent de la chaîne d’approvisionnement agroalimentaire
Agreement Type
Grant
Agreement Value
$200,000.00
Amendment Date
2022-03-03
Amendment Number
1
Description
The goal is to investigate intelligent management of supply chain digital twinning with application to the Global Agri-Food Value Chain (GAVC) that improves food quality and safety. GAVCs often span across the globe and involves various organizations that vary in production approaches and standards with regulatory actors and government regimes that vary in competence and transparency. The global distribution of agri-food products is creating longer and more complex supply chains that obscure traditional methods of oversight, coordination and collaboration.In recent years, there is an increased interest in the digitalisation and digital transformation of production processes and supply chains resulting from the acceleration of technological development such as the fourth industrial revolution (Industry 4.0). In this project, the focus on artificial intelligence solutions to integrate value chains across firms and manage the infusion of data to address many challenges such as complexity, uncertainty, risk, visibility, collaboration, cost, and sustainability.
Description (French)
L'objectif est d'étudier la gestion intelligente du jumelage numérique de la chaîne d'approvisionnement avec une application à la chaîne de valeur agroalimentaire mondiale (GAVC) qui améliore la qualité des aliments.
Les GAVC s'étendent souvent à travers le monde et impliquent diverses organisations dont les approches et les normes de production varient avec des acteurs réglementaires et des régimes gouvernementaux qui varient en compétences et en transparence. La distribution mondiale de produits agroalimentaires en créant des chaînes d'approvisionnement plus longues et plus complexes qui obscurcissent les méthodes traditionnelles de surveillance, de coordination et de collaboration.
Ces dernières années, il y a un intérêt accru pour la numérisation et la transformation numérique des processus de production et des chaînes d'approvisionnement résultant de l'accélération du développement technologique comme la quatrième révolution industrielle (Industrie 4.0).
Dans ce projet, l'accent est mis sur les solutions d'intelligence artificielle pour intégrer les chaînes de valeur entre les entreprises et gérer l'infusion de données pour relever de nombreux défis tels que la complexité, l'incertitude, le risque, la visibilité, la collaboration, les coûts et la durabilité.
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Victoria
Federal Riding (French)
Victoria
Federal Riding Number
59041
NAICS Code
541710
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
108162470
Recipient City
Victoria|Victoria
Recipient Country
CA
Recipient Legal Name
University of Victoria
Recipient Postal Code
V8P 5C2
Recipient Province or Territory
BC
Recipient Type
S
Reference Number
172-2021-2022-Q4-947416