Grant: Alliance Grants
Université d'Ottawa
$22,800.00
Enhancing Military Supply Chain Readiness and Responsiveness through Data-Driven Decision Intelligence Support System
EF 2024-25
Résumé
Military Supply Chain (SC) readiness and responsiveness are critical metrics that significantly impact the operational efficiency and success of military missions, directly affecting the safety of Canadian soldiers in the field. Readiness encompasses being equipped and prepared for various scenarios (e.g., equipment, material, medical supplies), while responsiveness is the capability to swiftly and effectively address emerging demands and changes during operations. The Canadian Armed Forces (CAF) supply chain faces significant challenges due to operational and environmental uncertainties, such as unpredictable supply demands, mission durations, and locations. These complexities often result in delays, shortages, and inconsistent resource allocation, compromising both readiness and responsiveness.
Current CAF supply chain approaches, which rely on traditional metrics, often lead to reactive rather than proactive responses, limiting their ability to adapt to the dynamic and unpredictable nature of military logistics. To address these challenges, this research aims to develop a Decision Intelligence Support System (DISS) to transform CAF's supply chain management. The DISS will integrate advanced data analytics and AI to enhance transparency, predict supply chain disruptions, and drive proactive decision-making. DISS will reduce operational costs and improve overall supply chain performance by optimizing demand forecasting, resource allocation, inventory management, logistics, and maintenance.
The proposed system will enable the CAF to maintain high levels of readiness and responsiveness, ensuring the ability to make strategic, well-informed decisions in complex and rapidly evolving scenarios. This cutting-edge solution will set new benchmarks for military logistics, ultimately strengthening Canada's defence capabilities and operational efficiency.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
602253-2024
Name nom
Andreev, Pavel P
Department département
Telfer School of Management
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
22800
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
1606
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Operations management
Research subject fr
Gestion de la production
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
Enhancing Military Supply Chain Readiness and Responsiveness through Data-Driven Decision Intelligence Support System
Keywords
carbon footprint; decision intelligence support system; environmental performance metrics; information systems; logistics optimization; military operations management; military supply chain readiness; military supply chain responsiveness; process mining; supply chain explainability
Application summary
Military Supply Chain (SC) readiness and responsiveness are critical metrics that significantly impact the operational efficiency and success of military missions, directly affecting the safety of Canadian soldiers in the field. Readiness encompasses being equipped and prepared for various scenarios (e.g., equipment, material, medical supplies), while responsiveness is the capability to swiftly and effectively address emerging demands and changes during operations. The Canadian Armed Forces (CAF) supply chain faces significant challenges due to operational and environmental uncertainties, such as unpredictable supply demands, mission durations, and locations. These complexities often result in delays, shortages, and inconsistent resource allocation, compromising both readiness and responsiveness.
Current CAF supply chain approaches, which rely on traditional metrics, often lead to reactive rather than proactive responses, limiting their ability to adapt to the dynamic and unpredictable nature of military logistics. To address these challenges, this research aims to develop a Decision Intelligence Support System (DISS) to transform CAF's supply chain management. The DISS will integrate advanced data analytics and AI to enhance transparency, predict supply chain disruptions, and drive proactive decision-making. DISS will reduce operational costs and improve overall supply chain performance by optimizing demand forecasting, resource allocation, inventory management, logistics, and maintenance.
The proposed system will enable the CAF to maintain high levels of readiness and responsiveness, ensuring the ability to make strategic, well-informed decisions in complex and rapidly evolving scenarios. This cutting-edge solution will set new benchmarks for military logistics, ultimately strengthening Canada's defence capabilities and operational efficiency.