Development of Human Reliability Model for Evaluating Maintenance Workforce Reliability: A Case Study in Electronic Packaging Industry

Razak, Izatul Hamimi Abdul; Kamaruddin, Shahrul; Azid, Ishak Abdul

doi:10.1109/iemt.2008.5507893

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…Numerous studies have tailored their focus to specific contextual factors, selectively omitting others, due to their emphasis on particular aspects like personal factors, workload, or work-related stress (Fan et al, 2018;Fruggiero et al, 2018;Longo et al, 2019;Razak et al, 2008;Wang et al, 2019b). This selective approach was driven by the objective to concentrate on certain variables deemed most relevant to their specific research questions or the unique contexts of their studies.…”

Section: Hra Methods and Psf Frameworkcommonalities In The Applicatio...mentioning

confidence: 99%

“…In a high-risk scenario within the automotive sector, nine PSFs from the CREAM methodology were employed (Geng et al, 2015). Additionally, a reliability model for evaluating individual maintenance workers in the electronics industry incorporated six personal factors as variables to assess the likelihood of human error (Razak et al, 2008).…”

Section: The State Of the Art In Psf Taxonomy (Rq1)mentioning

confidence: 99%

“…However, they were mostly found missing in this review study. Razak et al (2008) used internal factors such as motivation, responsibility, and diligence, which described similar personal traits like attitude, commitment, discipline, and persistence. Aju Kumar et al (2015) applied overlapping sub-factors such as teamwork, communication and coordination, and supervision under the task PSF category.…”

Section: Clear Psf Definitionsmentioning

confidence: 99%

See 2 more Smart Citations

Taxonomy of performance shaping factors in manufacturing: A systematic literature review

Jha,

Di Pasquale,

Saleem

et al. 2024

Hum Ftrs & Erg Mfg Svc

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Human error in manufacturing can have substantial consequences, including loss of life, injuries, productivity, and financial losses. Human reliability analysis (HRA) methods can be used to evaluate the likelihood of human error in manufacturing tasks and identify potential sources of error. Performance shaping factors (PSFs) are internal and external factors that influence human performance and can affect the likelihood of human reliability estimates in HRA methods. Understanding the impact of PSFs on human performance in manufacturing is essential for developing effective strategies to minimize the likelihood of human error and improve the safety and efficiency of manufacturing processes. This systematic review scrutinizes the literature on PSFs within manufacturing, highlighting HRA applications. Using the PRISMA protocol, studies from 2000 to 2024 across engineering and psychology were examined, culminating in the analysis of 35 pertinent works. The review identifies and contrasts various PSF taxonomies from established HRA methods like SPAR‐H, HEART, CREAM, and THERP, revealing their diverse applications in different manufacturing settings. The review also uncovers a tendency to devise taxonomies through the lens of experts' domain knowledge, particularly tailored to discrete manufacturing contexts. A critical gap is observed in the lack of a uniform PSF framework, with the current literature reflecting a disparate understanding of PSFs' roles, definitions, and interrelations. This absence is further pronounced by the inadequate integration of human factors in the dialogue surrounding Industry 4.0. The analysis points to the necessity of harmonizing PSFs to better assess human reliability amid technological integration. The findings emphasize the need for an industry‐specific PSF framework that aligns with the intricacies of manufacturing operations, thus enabling more accurate HRA outcomes and informing strategies for error reduction and process optimization.

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Section: Hra Methods and Psf Frameworkcommonalities In The Applicatio...mentioning

confidence: 99%

Section: The State Of the Art In Psf Taxonomy (Rq1)mentioning

confidence: 99%

Section: Clear Psf Definitionsmentioning

confidence: 99%

See 1 more Smart Citation

Taxonomy of performance shaping factors in manufacturing: A systematic literature review

Jha,

Di Pasquale,

Saleem

et al. 2024

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

“…The work by using enabling technologies is easier efficiently and in an easier way, increasing the productivity of the system. Through simple instructions, the work is easier to understand also for an unskilled operator [82]. This does not mean that in smart factories, unskilled operators will be employed but that enabling technologies of I4.0 will safeguard the process against human error.…”

Section: Framework For Skills and Capabilities Of Operator 40mentioning

confidence: 99%

Smart Production Workers in Terms of Creativity and Innovation: The Implication for Open Innovation

Gajdzik

Wolniak

2022

Journal of Open Innovation: Technology, Market, and Complexity

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This paper presents a framework of employee skills and competencies useful for developing occupational profiles for employees of companies transitioning towards Industry 4.0. The paper consists of a discussion of the theoretical and practical parts of case studies. The theoretical portion was created on the basis of a review of scientific literature and research studies regarding the competencies and skills of employees in the ongoing fourth industrial revolution. This part focuses on the skills profile of an Industry 4.0 employee and an Operator 4.0 (O4.0) from a creativity and innovativeness point of view. The link between the theoretical part and the case study analysis was a general framework for building the competencies and skills of the steelworker in the emerging fourth industrial revolution. The case study analysis covered the framework of competencies and skills of a metallurgist in smart manufacturing built into the organization of steel mills. Recruitment offers of a steel company implementing smart manufacturing (SM) projects and educational programmes of technical universities in the field of metallurgy were analysed. The aim of the study was to develop a framework for the profile of an employee working in an innovative company transforming to I4.0. The publication posed the following research questions (purposes/hypotheses): P1. To what extent do Polish companies in the metallurgical sector pay attention to creativity and innovation issues when looking for employees? P2. To what extent do the profile (portfolio) of metallurgy graduates of Polish technical universities turn their attention to the issues related to creativity and innovation?

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Development of Human Reliability Model for Evaluating Maintenance Workforce Reliability: A Case Study in Electronic Packaging Industry

Cited by 2 publications

References 8 publications

Taxonomy of performance shaping factors in manufacturing: A systematic literature review

Taxonomy of performance shaping factors in manufacturing: A systematic literature review

Smart Production Workers in Terms of Creativity and Innovation: The Implication for Open Innovation

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