Grant: Discovery Grants Program - Individual
Ryerson University
$43,000.00
Human Factors in Simulations of Operations Systems - A Sociotechnical Approach
FY 2019-20
Summary
The long term objective of this research is to establish a suite of practical tools and simulation methods that can help designers and managers better consider human factors (HF) in their efforts to design work systems that are healthy, with high quality goods and services, while providing superior technical performance. ******Over 2 million people are killed each year due to work related causes. Work related ill health costs about 4% of the total world domestic product, estimated in the US to be on par with all cancers combined. Epidemiological evidence suggests this issue can be addressed by improving the design of work. Understanding the effects of workplace design on employees can be difficult, so we propose to build computer simulation models that let managers and engineers understand the human effects of the choices they make when designing and managing their work systems. We propose to create novel approaches to using discrete event simulations of systems, and system dynamics modelling of organisations that can reveal the long-run effects of early-stage operational design choices on employees and subsequently on work performance. ******Development will occur in a series of staged projects in which the HF and context of concern will be used to extend the modelling capability. Variables proposed for modelling include, but are not limited to: 1) Operator Workload including: work pace, process variability, scheduling, division of labour, peak and accumulated biomechanical demands, and cognitive demands; 2) Operator Outcome variables such as competency level (via learning and forgetting models), fatigue state, pain levels, psychosocial states such as burnout or satisfaction levels, absenteeism, presenteeism, and turnover; and 3) System Outcome variables such as service or product quality, productivity, scrap, direct and indirect system costs associated with operational and human resource related costs. We will pursue an ever broadening range of HF to achieve unparalleled “humanization” of the system simulation approach. The program uses specific operational design issues such as the effects of intensification due to lean-styled “waste removal” efforts, the use of parallelised production strategies, and the impacts of changes in patient acuity, and care-giver workload in healthcare systems. We will work directly with industry and healthcare managers to help identify “win-win” design solutions with superior performance and improved working conditions. Working collaboratively allows us to tailor models to the needs of these decision-makers.******This program will create new methods for designers and managers to understand how HF in their system design are affecting their employees wellbeing and thus their work performance. This research will open the door for workplace innovation to create benefits for individuals, organisations, and for society at large.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-05956
Name nom
Neumann, Patrick
Department département
Mechanical and Industrial Engineering
Organization id
43
Institution établissement
Ryerson University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
43000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
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
Installment
inst:2 - 5
Partie
2
Nb partie
5
Application title
Human Factors in Simulations of Operations Systems - A Sociotechnical Approach
Keyword
NSERC
Application summary
The long term objective of this research is to establish a suite of practical tools and simulation methods that can help designers and managers better consider human factors (HF) in their efforts to design work systems that are healthy, with high quality goods and services, while providing superior technical performance. ******Over 2 million people are killed each year due to work related causes. Work related ill health costs about 4% of the total world domestic product, estimated in the US to be on par with all cancers combined. Epidemiological evidence suggests this issue can be addressed by improving the design of work. Understanding the effects of workplace design on employees can be difficult, so we propose to build computer simulation models that let managers and engineers understand the human effects of the choices they make when designing and managing their work systems. We propose to create novel approaches to using discrete event simulations of systems, and system dynamics modelling of organisations that can reveal the long-run effects of early-stage operational design choices on employees and subsequently on work performance. ******Development will occur in a series of staged projects in which the HF and context of concern will be used to extend the modelling capability. Variables proposed for modelling include, but are not limited to: 1) Operator Workload including: work pace, process variability, scheduling, division of labour, peak and accumulated biomechanical demands, and cognitive demands; 2) Operator Outcome variables such as competency level (via learning and forgetting models), fatigue state, pain levels, psychosocial states such as burnout or satisfaction levels, absenteeism, presenteeism, and turnover; and 3) System Outcome variables such as service or product quality, productivity, scrap, direct and indirect system costs associated with operational and human resource related costs. We will pursue an ever broadening range of HF to achieve unparalleled “humanization” of the system simulation approach. The program uses specific operational design issues such as the effects of intensification due to lean-styled “waste removal” efforts, the use of parallelised production strategies, and the impacts of changes in patient acuity, and care-giver workload in healthcare systems. We will work directly with industry and healthcare managers to help identify “win-win” design solutions with superior performance and improved working conditions. Working collaboratively allows us to tailor models to the needs of these decision-makers.******This program will create new methods for designers and managers to understand how HF in their system design are affecting their employees wellbeing and thus their work performance. This research will open the door for workplace innovation to create benefits for individuals, organisations, and for society at large.