Human Factors and Discrete-Event Simulation

2008 ◽  
pp. 189-199
Author(s):  
Dahai Liu ◽  
Linda Trocine
Keyword(s):  
Human Factors ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation

scholarly journals Human factors in an automotive discrete event simulation model

2017 ◽  
Vol 39 (5) ◽  
pp. 615
Author(s):  
Rafael De Carvalho Miranda ◽  
Cibele Nogueira Paiva ◽  
José Arnaldo Barra Montevechi ◽  
Tábata Fernades Pereira
Keyword(s):  
Human Factors ◽  
Simulation Model ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Event Simulation ◽  
Discrete Event Simulation Model

scholarly journals The Integration of Human Factors into Discrete Event Simulation and Technology Acceptance in Engineering Design

2021 ◽  
Author(s):  
Petrit Dode
Keyword(s):  
Human Factors ◽  
Technology Acceptance ◽  
Discrete Event Simulation ◽  
New Technology ◽  
Discrete Event ◽  
Value Added ◽  
Learning Curves ◽  
Event Simulation ◽  
Initial Cost ◽  
Human Factors Modeling

This action research thesis aimed to: 1) develop and test a viable Discrete Event Simulation and Human Factors Modeling approach for an Ontario based telecommunication company, and 2) identify the factors that affect the uptake and application of the approach in work system design. This approach, which was validated at the Company, incorporated fatigue dose and learning curves in a Discrete Event Simulation model. The barriers to uptake included: Time constraints, lack of technological knowledge and initial cost. The uptake facilitators were: High frequency products produced, clear value added to leadership, defects reduction and the Company being open to new technology. In addition to helping design a manual assembly line with fewer bottlenecks and reduce the human factors risks for the employee, the developed approach showed a 26% correlation with quality defects. Further research is recommended to identify additional human factors and their benefits.

scholarly journals The Integration of Human Factors into Discrete Event Simulation and Technology Acceptance in Engineering Design

2021 ◽  
Author(s):  
Petrit Dode
Keyword(s):  
Human Factors ◽  
Technology Acceptance ◽  
Discrete Event Simulation ◽  
New Technology ◽  
Discrete Event ◽  
Value Added ◽  
Learning Curves ◽  
Event Simulation ◽  
Initial Cost ◽  
Human Factors Modeling

This action research thesis aimed to: 1) develop and test a viable Discrete Event Simulation and Human Factors Modeling approach for an Ontario based telecommunication company, and 2) identify the factors that affect the uptake and application of the approach in work system design. This approach, which was validated at the Company, incorporated fatigue dose and learning curves in a Discrete Event Simulation model. The barriers to uptake included: Time constraints, lack of technological knowledge and initial cost. The uptake facilitators were: High frequency products produced, clear value added to leadership, defects reduction and the Company being open to new technology. In addition to helping design a manual assembly line with fewer bottlenecks and reduce the human factors risks for the employee, the developed approach showed a 26% correlation with quality defects. Further research is recommended to identify additional human factors and their benefits.

scholarly journals Incorporation of human factors into a Discrete Event Simulation Model for human centred assembly performance evaluation

2021 ◽  
Vol 40 (3) ◽  
pp. 437-448
Author(s):  
M.I. Abubakar ◽  
Q. Wang
Keyword(s):  
Human Factors ◽  
Discrete Event Simulation ◽  
Manufacturing Systems ◽  
Human Performance ◽  
Manufacturing System ◽  
Discrete Event ◽  
Integrated Approach ◽  
Design Stage ◽  
Early Design Stage ◽  
Event Simulation

Discrete Event Simulation (DES) tool is commonly used for the design, analysis, and evaluation of manufacturing systems. Human centred assembly systems offer better system flexibility and responsiveness due to inherent human intelligence and problem-solving abilities; human can deal with product variations and production volumes; and can always adapt themselves to multiple tasks after learning process. Nevertheless, human performance can be unpredictable, and may alter over time due to varying psychological and physiological states, these are often overlooked by researchers when designing, implementing, or evaluating a manufacturing system. In this paper a user-friendly integrated DES method was proposed to enable manufacturing system designers to investigate overall performance of human centred system considering effects of selected human factors. the method can permit manufacturing system designers to evaluate overall manufacturing system performance with considerations of parameters of human factors at early design stage. A case study was carried out using integrated approach; simulation results demonstrate the applicability of this approach.

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