Grant: Engage Grants Program
Memorial University of Newfoundland
$25,000.00
Human error probability assessment during maintenance procedure
FY 2010-11
Summary
Maintenance is one of the most crucial and accident-prone activities in a process facility. It is directly linked to
business and safety performance of the industry. The quality of maintenance is highly reliant on human
involvement. Ineffective maintenance procedure and over-relying on human performance are major causes of
maintenance related incidents. In the process facility, human error analysis is rarely carried out to improve the
performance. Therefore, a human error assessment for the maintenance procedure is an important first step to
minimize error and improve safety.
IDBLUE is the producer of the world's first mobile, integrated Bluetooth RFID (radio-frequency identification)
system. This instrument is ideal for situations involving human-machine procedure such as asset inspection,
auditing, maintenance, and repair. To increase the confidence of using RFID to minimize human error, it is
important for IDBLUE to validate and improve the design for overall reliability of the maintenance procedure.
The proposed research is to undertake a human error assessment by identifying possible failure scenarios and
assessing their likelihood. It further attempts to address these errors using an RFID system. Subsequently, a
unique risk-based analysis will be used to evaluate the effectiveness of the RFID system to improve the
maintenance procedures.
The results from this Engage research will serve as an important starting point for a long, sustaining
collaboration between the IDBLUE and Safety and Risk Engineering Group to improve the safety in
maintenance and other hazardous operations. This research collaboration would help IDBUE to gain an
advantage over their global competitors. It will also be beneficial to the Canadian oil and gas, and onshore
process industries.
Program
Engage Grants Program
Recipient
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
404925-2010
Name nom
Khan, Faisal
Department département
Engineering and Applied Science, Faculty of
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2010
Competition year année de concours
2010
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1551
Committee name en
Atlantic Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Atlantique
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
1605
Research subject group en
Industrial engineering
Research subject group fr
Génie industriel
Research subject en
Human factors engineering
Research subject fr
Génie des facteurs humains
Partie
1
Nb partie
1
Application title
Human error probability assessment during maintenance procedure
Keyword
NSERC
Application summary
Maintenance is one of the most crucial and accident-prone activities in a process facility. It is directly linked to
business and safety performance of the industry. The quality of maintenance is highly reliant on human
involvement. Ineffective maintenance procedure and over-relying on human performance are major causes of
maintenance related incidents. In the process facility, human error analysis is rarely carried out to improve the
performance. Therefore, a human error assessment for the maintenance procedure is an important first step to
minimize error and improve safety.
IDBLUE is the producer of the world's first mobile, integrated Bluetooth RFID (radio-frequency identification)
system. This instrument is ideal for situations involving human-machine procedure such as asset inspection,
auditing, maintenance, and repair. To increase the confidence of using RFID to minimize human error, it is
important for IDBLUE to validate and improve the design for overall reliability of the maintenance procedure.
The proposed research is to undertake a human error assessment by identifying possible failure scenarios and
assessing their likelihood. It further attempts to address these errors using an RFID system. Subsequently, a
unique risk-based analysis will be used to evaluate the effectiveness of the RFID system to improve the
maintenance procedures.
The results from this Engage research will serve as an important starting point for a long, sustaining
collaboration between the IDBLUE and Safety and Risk Engineering Group to improve the safety in
maintenance and other hazardous operations. This research collaboration would help IDBUE to gain an
advantage over their global competitors. It will also be beneficial to the Canadian oil and gas, and onshore
process industries.