Causes and Impact of Human Error in Maintenance of Mechanical Systems

Nkosi, Mfundo; Gupta, Kapil; Mashinini, Peter Madindwa

doi:10.1051/matecconf/202031205001

Cited by 12 publications

(6 citation statements)

References 14 publications

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“…As mentioned above, the types of human factors related to incidents from maintenance personnel were refined and classified according to their significance, as shown in Table 3. The categories are divided according to the human factors in maintenance industry (Nkosi et al, 2020). The most frequent human factor in the results is the unreasonable work plan.…”

Section: Resultsmentioning

confidence: 99%

“…According to Reason (2000), in the analysis of human error, we should not only consider the "active failure" that is difficult for personnel to avoid. More importantly, however, the "latent condition" should be identified which is related to the loopholes in the organization or system, often related to the organization's F I G U R E 1 Causes of human error in the maintenance of mechanical systems (Nkosi et al, 2020). management and designers of the system in the organization.…”

Section: The Definition Of Human Error-related Accidents/incidentsmentioning

confidence: 99%

“…Human errors in maintenance operations is closely related to the safety and reliability of production, which is being increasingly recognized. It can be found in Figure 1 that management, communication, and the organizational environment all negatively impact maintenance operators' performance (Nkosi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Human error in maintenance: A case study from China

Duan

Zhang

Xia

2022

Hum Ftrs & Erg Mfg Svc

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Human error is an essential factor that affects the quality and safety of industrial production. To deeply understand the human factors that cause failures in an organization from the perspective of maintenance personnel, we propose an analytical approach combined with Fault Tree Analysis and qualitative analysis and apply this approach to maintenance task failure incidents. These proposed methods are based on human factor classification and the Human Factors Analysis and Classification System. We conduct a case study to prove the effectiveness of applying our approach to the Chinese manufacturing industry. Results enabled the disclosure of the “latent factors” of maintenance incidents, helped improve human error analysis in maintenance incidents and helped to understand the fundamental reasons that affect work reliability and cause maintenance failures. This case study focuses on the impact of critical human factors on organizational effectiveness and operational reliability during maintenance activities.

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Section: Resultsmentioning

confidence: 99%

Section: The Definition Of Human Error-related Accidents/incidentsmentioning

confidence: 99%

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Human error in maintenance: A case study from China

Duan

Zhang

Xia

2022

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

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“…The results of Cho's study also revealed that poor management and lack of standard processes were the main organizational factors of DE [69]. Moreover, many studies focusing on human error have emphasized organizational factors, particularly management obligation [70][71][72], resource allocation [73], and safety culture [74].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods

et al. 2022

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Design errors have always been recognized as one of the main factors affecting safety and health management and sustainable development in surface mines. Unfortunately, scant attention is paid to design errors and the factors causing them. Therefore, based on expert opinions, this study aimed to identify, rank, and investigate cause-and-effect relationships among variables influencing human error in surface mine design in Iran. The study variables were identified by reviewing previous literature on “latent human errors” and “design errors.” After specifying effective variables, two rounds of the Fuzzy Delphi study were carried out to reach a consensus among experts. Nineteen variables with an influencing score of 0.7 and higher were screened and given to the experts to be analyzed for cause-and-effect relationships by the fuzzy DEMATEL method. The results of the study revealed that the following variables were the major factors affecting human error as root causes: poor organizational management (0.62), resource allocation (0.30), training level (0.27), and experience (0.25). Moreover, self-confidence (−0.29), fatigue (−0.28), depression (−0.25), and motive (−0.23) were found to be effect (dependent) variables. Our findings can help organizations, particularly surface mines, to opt for effective strategies to control factors affecting design errors and consequently reduce workers’ errors, providing a good basis for achieving sustainable development.

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“…Since the written procedures are sometimes long and experts prefer to rely on their experience and skills, “procedures usage” is recognized as the leading factor in this study. A review of the literature in the maintenance of mechanical systems showed that the causes of human error were poor management and supervision, organizational culture, incompetence, poor procedures, poor communication, time pressure, plant and environmental conditions, and poor work design 38 . Risk factors at different levels of technical, human, organizational, and environmental factors are presented in Refs.…”

Section: Identification Of the Human Error Roots In The Maintenance Groupsmentioning

confidence: 99%

Estimating and ranking the impact of human error roots on power grid maintenance group based on a combination of mathematical expectation, Shannon entropy, and TOPSIS

Tavakoli

Nafar

2021

Quality & Reliability Eng

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Due to the importance of electrical grid reliability, analysis and evaluation of human error in the maintenance of electrical networks should be also considered seriously. The root causes of these errors must be identified and prioritized to plan for human error reduction. One of the objectives of the present study is to identify and predict these roots for power transmission maintenance groups from organizational, job position, communication, individual, and supervision aspects along with the relationships between these factors. In particular, this paper demonstrates that supervisor behavior as an external factor has a significant effect on maintenance personnel error. For this reason, special attention has been paid to identifying and controlling human factors from a supervisory point of view in this study. This paper also provides a method for detecting the extent of the expected influence of these roots on each personnel, since human error has a random nature. This is done based on the law of mathematical expectation. Finally, a method is suggested to rank roots based on greater effectiveness and evaluate personnel with higher error expectations. The proposed method is a combination of intermediate methods, Shannon entropy, and technique for order of preference by similarity to ideal solution (TOPSIS). The origins of the four human errors between 2014 and 2018 related to the two experts of Fars Electricity Maintenance Contractor Company are compared by the proposed method.

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Causes and Impact of Human Error in Maintenance of Mechanical Systems

Cited by 12 publications

References 14 publications

Human error in maintenance: A case study from China

Human error in maintenance: A case study from China

Analysis of Factors Affecting Human Reliability in the Mining Process Design Using Fuzzy Delphi and DEMATEL Methods

Estimating and ranking the impact of human error roots on power grid maintenance group based on a combination of mathematical expectation, Shannon entropy, and TOPSIS

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