Adapting the failure modes effect analysis (FMEA) for early detection of human factors concerns

Village, Judy Lynn; Greig, Michael; Neumann, Patrick

doi:10.32920/ryerson.14640042.v2

Cited by 2 publications

(2 citation statements)

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“…As a start, the HF-pFMEA, containing only physical risk factors, was incorporated into a template and embedded in FMEA software that was being upgraded within the company. HFS subsequently attended pFMEA meetings for new products, performed HF-pFMEA scoring for manual assembly tasks, and, collaboratively with the engineering team, identified solutions where scores were high (Village et al, 2011). High scores are traced in the FMEA software system and must be resolved with alterations to parts, materials, or fixtures before moving to the prototype stage.…”

Section: Hf-pfmea Tool Need and Process Of Adaptationmentioning

confidence: 99%

Adapting Engineering Design Tools to Include Human Factors

Village¹,

Greig²,

Zolfaghari³

et al. 2023

Preprint

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OCCUPATIONAL APPLICATIONS In a longitudinal collaboration with engineers and human factors specialists at an electronics manufacturer, five engineering design tools were adapted to include human factors. The tools, many with required human factors targets, were integrated at each stage of assembly design to increase the proactive application of human factors. This article describes the process of adapting the five tools within the collaborating organization. Findings suggest 12 key features of human factors tools, most importantly that they “fit” with engineering processes, language, and tools; directly address business goals and influence key metrics; and are quantifiable and can demonstrate change. To be effective in an engineering design environment, it is suggested that human factors specialists increase their understanding of their organization’s design process, learn which tools are commonly used in engineering, focus on important metrics for the business goals, and incorporate human factors into engineering-based tools and worksystem design practices in their organizations. TECHNICAL ABSTRACT Rationale: Design engineers use diverse tools in design, but few incorporate human factors, even though optimizing human performance can further improve operational performance. There is a need for practical tools to help engineers integrate human factors into production design processes. Purpose: This article demonstrates how five engineering design tools were adapted to include human factors and were integrated into design processes within the case study organization. It also provides features of an effective human factors tool and recommendations for practitioners. Method: A longitudinal collaboration with engineers and human factors specialists in a large electronics manufacturing organization allowed in vivo adaptation and testing of various tools in an action research methodology. Qualitative data were recorded from multiple sources, then transcribed and analyzed over a 3-year period. Results: The adapted tools integrated into each stage of the design process included the human factors process failure mode effects analysis, human factors design for assembly, human factors design for fixtures, workstation efficiency evaluator, and human factors kaizens. Each tool had a unique participatory development process; 12 features are recommended for effective human factors tools based on the findings herein. Most importantly, tools should “fit” with existing engineering processes, language, and tools; directly address business goals and influence key metrics; and be quantifiable and demonstrate change. Conclusions: Engineers and management responded positively to the five tools adapted for human factors because they were designed to help improve assembly design and achieve their business goals. Several of the human factors tools became required targets within the design process, ensuring that human factors considerations are built into all future design processes. Adapting engineering tools, rather than using human factors tools, required a shift for human factors specialists, who needed to expand their knowledge of engineering processes, tools, techniques, language, metrics, and goals.

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Section: Hf-pfmea Tool Need and Process Of Adaptationmentioning

confidence: 99%

Adapting Engineering Design Tools to Include Human Factors

Village¹,

Greig²,

Zolfaghari³

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…One area that could benefit from FMEA (and TOPSIS) is medical simulation. While FMEA has been applied to Human Factors (Village et al, 2011), healthcare, and in situ simulations (Davis et al, 2008), there is not much existing literature on FMEA as a tool for assessing medical simulators, such as the Dynamic Haptic Robotic Trainer (DHRT). The DHRT was created as a mixed reality Central Venous Catheterization (CVC) simulation training tool.…”

Section: Introductionmentioning

confidence: 99%

Learning From Failure: A Case Study Of Human Driven Risk Assessment In Medical Simulator Design

Bartuska

Tzamaras

Moore

et al. 2022

Proceedings of the Human Factors and Ergonomics Society Annual

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Failure Modes and Effects Analysis (FMEA) is a qualitative and quantitative approach to measuring and analyzing risk that compiles and ranks failure modes, their effects, and their corrective actions. Though widely used, traditional FMEA has been criticized for the lack of a scientific basis behind the Risk Priority Number calculation. To combat this, researchers have argued that Multiple Criteria Decision Making (MCDM) methods should be used to rank failure modes instead. As such, the current paper was developed to present a case study that applies FMEA and MCDM to a Central Venous Catheterization (CVC) training simulator called the Dynamic Haptic Robotic Trainer (DHRT). FMEA was needed because while a beta prototype exists for research purposes, there are several failure modes that prevent this system from wide spread deployment. Our results provide insight into how FMEA can be used to identify a system’s highest priority failure modes and maximize improvement recommendations.

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Adapting the failure modes effect analysis (FMEA) for early detection of human factors concerns

Cited by 2 publications

References 0 publications

Adapting Engineering Design Tools to Include Human Factors

Adapting Engineering Design Tools to Include Human Factors

Learning From Failure: A Case Study Of Human Driven Risk Assessment In Medical Simulator Design

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