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Grant: Alliance Grants

Toronto Metropolitan University

$29,960.00

Real-time Optimization of Production Scheduling

FY 2022-23

Summary
The fourth industrial revolution, commonly known as Industry 4.0, offers new challenges to the manufacturing industry. This project aims to address some of these challenges through a collaboration between Ryerson University and Axiom Group Inc. Axiom Group specializes in thermoplastic injection molding of various components and assemblies, and has developed a real-time production monitoring system called Smart Attend. Smart Attend collects data from machines and offers quick reports on production expectations vs. actual performance, cycle-time analysis, shift-to-shift benchmarking, and up to three years of production analysis among other features. Smart Attend is also fully integrated with PRISM, Axiom's in-house enterprise resource planning/material requirements planning (ERP/MRP) system. Through collaboration with Ryerson University, Axiom Group would like to enhance the capability of its Smart Attend and PRISM systems by incorporating state-of-the-art methods of data science and operations research for real-time production scheduling in the context of Industry 4.0. This model will optimize production schedules considering operational parameters and production disturbances, such as a machine failure. We will demonstrate the validity of this model in a real manufacturing setting as a market-ready production scheduling solution. It is expected that the proposed solutions will be embedded in the Smart Attend/PRISM systems and offered to the market as a commercialized product. The proposed solutions will also enhance the availability and overall efficiency of manufacturing machinery in an Industry 4.0 setting, reduce downtime costs and production loss due to failure, minimize the chances of human error, and enhance production performance and energy efficiency. This collaboration has enormous potential benefit to the Canadian manufacturing industry and provides the opportunity for a highly experienced team to translate their knowledge into a useful innovation.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
549679-2019
Name nom
Taghipour, Sharareh S
Department département
Mechanical and Industrial Engineering
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2019
Award amount
29960
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
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
1601
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Operations research and management science
Research subject fr
Recherche opérationnelle et science de la gestion
Installment
inst:3
Partie
1
Nb partie
3
Application title
Real-time Optimization of Production Scheduling
Application summary
The fourth industrial revolution, commonly known as Industry 4.0, offers new challenges to the manufacturing industry. This project aims to address some of these challenges through a collaboration between Ryerson University and Axiom Group Inc. Axiom Group specializes in thermoplastic injection molding of various components and assemblies, and has developed a real-time production monitoring system called Smart Attend. Smart Attend collects data from machines and offers quick reports on production expectations vs. actual performance, cycle-time analysis, shift-to-shift benchmarking, and up to three years of production analysis among other features. Smart Attend is also fully integrated with PRISM, Axiom's in-house enterprise resource planning/material requirements planning (ERP/MRP) system. Through collaboration with Ryerson University, Axiom Group would like to enhance the capability of its Smart Attend and PRISM systems by incorporating state-of-the-art methods of data science and operations research for real-time production scheduling in the context of Industry 4.0. This model will optimize production schedules considering operational parameters and production disturbances, such as a machine failure. We will demonstrate the validity of this model in a real manufacturing setting as a market-ready production scheduling solution. It is expected that the proposed solutions will be embedded in the Smart Attend/PRISM systems and offered to the market as a commercialized product. The proposed solutions will also enhance the availability and overall efficiency of manufacturing machinery in an Industry 4.0 setting, reduce downtime costs and production loss due to failure, minimize the chances of human error, and enhance production performance and energy efficiency. This collaboration has enormous potential benefit to the Canadian manufacturing industry and provides the opportunity for a highly experienced team to translate their knowledge into a useful innovation.