Detection of potential failures and human error and their propagation over time at an early design stage will help prevent system failures and adverse accidents. Hence, there is a need for a failure analysis technique that will assess potential functional/component failures, human errors, and how they propagate to affect the system overall. Prior work has introduced functional failure identification and propagation (FFIP), which considers both human error and mechanical failures and their propagation at a system level at early design stages. However, it fails to consider the specific human actions (expected or unexpected) that contributed toward the human error. In this paper, we propose a method to expand FFIP to include human action/error propagation during failure analysis so a designer can address the human errors using human factors engineering principals at early design stages. The capabilities of the proposed method is presented via a hold-up tank example, and the results are coupled with digital human modeling to demonstrate how designers can use these tools to make better design decisions before any design commitments are made.
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September 2019
Research-Article
Computational Functional Failure Analysis to Identify Human Errors During Early Design Stages
Lukman Irshad,
Lukman Irshad
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: mohammoh@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: mohammoh@oregonstate.edu
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Salman Ahmed,
Salman Ahmed
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: ahmedsal@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: ahmedsal@oregonstate.edu
Search for other works by this author on:
H. Onan Demirel,
H. Onan Demirel
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: onan.demirel@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: onan.demirel@oregonstate.edu
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Irem Y. Tumer
Irem Y. Tumer
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: irem.tumer@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: irem.tumer@oregonstate.edu
Search for other works by this author on:
Lukman Irshad
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: mohammoh@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: mohammoh@oregonstate.edu
Salman Ahmed
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: ahmedsal@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: ahmedsal@oregonstate.edu
H. Onan Demirel
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: onan.demirel@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: onan.demirel@oregonstate.edu
Irem Y. Tumer
School of Mechanical, Industrial and
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: irem.tumer@oregonstate.edu
Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97331
e-mail: irem.tumer@oregonstate.edu
1Corresponding author.
Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received September 14, 2018; final manuscript received January 15, 2019; published online March 18, 2019. Assoc. Editor: Jitesh H. Panchal.
J. Comput. Inf. Sci. Eng. Sep 2019, 19(3): 031005 (10 pages)
Published Online: March 18, 2019
Article history
Received:
September 14, 2018
Revised:
January 15, 2019
Citation
Irshad, L., Ahmed, S., Demirel, H. O., and Tumer, I. Y. (March 18, 2019). "Computational Functional Failure Analysis to Identify Human Errors During Early Design Stages." ASME. J. Comput. Inf. Sci. Eng. September 2019; 19(3): 031005. https://doi.org/10.1115/1.4042697
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