Grant: Applied Research and Development Grants - Level 1
Mohawk College of Applied Arts and Technology
$21,274.00
Heavy Equipment Handling-Industrial Internet of Things Sensors, Data & Predictive Maintenance
EF 2019-20
Résumé
Handling Specialty is a Grimsby and Hamilton Ontario-based manufacturer that designs, manufactures and provides support for materials handling heavy equipment, which includes lifting, tilting, rotating, and traversing equipment. Handling Specialty is successful in servicing their client industries, including advanced manufacturing, aerospace & defence, automotive, energy, entertainment, process industries, and rail/transportation since 1963. Made-to-order heavy equipment needs to have consistent reliability, and planned/minimal failure-related downtime. The equipment they manufacture for their clients has downtime (like all equipment) that results from unexpected issues causing the need for repair or unplanned maintenance. According to Accenture, predictive maintenance can save up to 12% over scheduled repairs, reducing overall maintenance costs up to 30% and eliminating breakdowns up to 70% (2014). Deloitte found that poor maintenance strategies can reduce a plant's capacity between 5-20% (2017).To reduce downtime and to strategically schedule maintenance, the project will develop Industrial Internet of Things (IIoT) sensor platforms to monitor key equipment parameters. The IIoT sensors will be connected with software to produce analytics that will notify Handling Specialty and their clients when issues are anticipated to schedule preventative maintenance. Mohawk College has the expertise to develop IIoT sensor packages, create software to use the sensor data, and to analyze the data to provide actionable information. Mohawk College's recently approved Industrial Research Chair for Colleges (IRCC), Dr. Esteve Hassan, and his IIoT expertise is a great fit to support Handling Specialty. The project will test industrial sensor packages and their optimal locations on heavy equipment; data analytics of equipment parameters to produce a baseline of operations, and develop predictive analytics. The work will customize and advance equipment analytics based on Handling Specialty's goals and their client's needs.
Programme
Applied Research and Development Grants - Level 1
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
544864-2019
Name nom
Hassan, Esteve
Department département
Head Office
Organization id
2189
Institution établissement
Mohawk College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
21274
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
516
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Mechanical machinery, heavy equipment (including farm, forestry, and construction equipment)
Area of application fr
Machinerie mécanique, machinerie lourde (y compris machinerie agricole, forestière, de construction)
Research subject code
2701
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Computer hardware
Research subject fr
Matériel informatique
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Heavy Equipment Handling-Industrial Internet of Things Sensors, Data & Predictive Maintenance
Keyword
NSERC
Application summary
Handling Specialty is a Grimsby and Hamilton Ontario-based manufacturer that designs, manufactures and provides support for materials handling heavy equipment, which includes lifting, tilting, rotating, and traversing equipment. Handling Specialty is successful in servicing their client industries, including advanced manufacturing, aerospace & defence, automotive, energy, entertainment, process industries, and rail/transportation since 1963. Made-to-order heavy equipment needs to have consistent reliability, and planned/minimal failure-related downtime. The equipment they manufacture for their clients has downtime (like all equipment) that results from unexpected issues causing the need for repair or unplanned maintenance. According to Accenture, predictive maintenance can save up to 12% over scheduled repairs, reducing overall maintenance costs up to 30% and eliminating breakdowns up to 70% (2014). Deloitte found that poor maintenance strategies can reduce a plant's capacity between 5-20% (2017).To reduce downtime and to strategically schedule maintenance, the project will develop Industrial Internet of Things (IIoT) sensor platforms to monitor key equipment parameters. The IIoT sensors will be connected with software to produce analytics that will notify Handling Specialty and their clients when issues are anticipated to schedule preventative maintenance. Mohawk College has the expertise to develop IIoT sensor packages, create software to use the sensor data, and to analyze the data to provide actionable information. Mohawk College's recently approved Industrial Research Chair for Colleges (IRCC), Dr. Esteve Hassan, and his IIoT expertise is a great fit to support Handling Specialty. The project will test industrial sensor packages and their optimal locations on heavy equipment; data analytics of equipment parameters to produce a baseline of operations, and develop predictive analytics. The work will customize and advance equipment analytics based on Handling Specialty's goals and their client's needs.
