The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities

Noroozi, Azita; Khakzad, Nima; Khan, Faisal; MacKinnon, Scott; Abbassi, Rouzbeh

doi:10.1016/j.ress.2013.06.038

Cited by 114 publications

(69 citation statements)

References 29 publications

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“…Considering 33 types of cost factor, the effect of complexity on quality in consumer audio equipment assembly has been analyzed at various sites around the world using a vast field dataset [41]. In the recent literature, researchers now recommend integrating production and human factors [44] as well as maintenance [45] and human error probability (HEP) to improve production system reliability [46]. The group headed by B.S.…”

Section: Discussionmentioning

confidence: 99%

“…Dhillon has contributed substantially to our current comprehension of maintenance and maintenance errors. The consensus in the recent literature is that "most human errors occur in the inspection and maintenance phases" [46]. The main sources of human error in maintenance have been identified as "lack of communication, distraction, lack of resources, stress, complacency, lack of teamwork, pressure, lack of awareness, lack of knowledge, fatigue, lack of assertiveness and social norms" [45].…”

Section: Discussionmentioning

confidence: 99%

“…Quality inspection errors have been modeled recently [48]. HEP has been assessed in LOTO pump maintenance activities using the success likelihood index method or SLIM [46]. Nevertheless, the difficulties of quantifying error occurrence in maintenance tasks are immense, due to the diversity of the activities [49].The literature on LOTO focuses on the sole utilization of LOTO in the procedural form focusing on how LOTO should be implemented [50,51].…”

Section: Discussionmentioning

confidence: 99%

“…In this article, we address corrective and preventive maintenance with LOTO while considering human error -a novel approach. By relying on the literature and the fact that "most human errors occur in the inspection and maintenance phases" [46] the importance of this research work, to improve system performance by attending to critical human aspects, is highlighted.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Emami-Mehrgani

Neumann

Nadeau

et al. 2016

Applied Mathematical Modelling

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This article extends previous work on co-optimization of production and corrective and preventive maintenance including lockout/tagout. We study the impact of human error on repairable manufacturing systems subject to random failure over an infinite planning horizon and its implications for system capacity and inventory policies, and we derive an optimal policy for minimizing production cost based on machinery maintenance and inventory management while meeting market demand over an infinite horizon. A numerical example is provided to demonstrate the usefulness of the proposed approach and a sensitivity analysis is presented to confirm the efficiency of the control policy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Emami-Mehrgani

Neumann

Nadeau

et al. 2016

Applied Mathematical Modelling

View full text Add to dashboard Cite

show abstract

“…Park (1987), Bell and Holroyd (2009), Akyuz and Celik (2015), Noroozi et al (2013), De Felice et al (2012, Zio et al (2009), Konstandinidou et al (2006), Bertolini (2007), and Deacon et al (2013). In general, HRA involves the use of qualitative and quantitative methods to assess and quantify the human contribution to the risk profile (Bell and Holroyd, 2009).…”

Section: Introductionmentioning

confidence: 97%

Human reliability assessment (HRA) in maintenance of production process: a case study

Aalipour

Ayele

Barabadi

2016

Int J Syst Assur Eng Manag

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Human reliability has a high contribution in maintenance performance, safety, and cost efficiency of any production process. To improve human reliability, the causes of human errors should be identified and the probability of human errors should be quantified. Analysis of human error is very case specific in which the context of the field should be taken into account. The aim of this study is to identify the causes of human errors and, improve human reliability in maintenance activities in cable manufacturing industry. The central thrust of this paper is to employ the three most common HRA techniques -HEART (Human Error Assessment and Reduction Technique), SPAR-H (Standardized Plant Analysis Risk-Human Reliability), and BN (Bayesian Network) for estimating human error probabilities, and then to check the consistency of results obtained. The case study results demonstrated that the main causes of human error during maintenance activities are time pressure, lack of experience, and poor procedure. Moreover, the probabilities of human error obtained by employing the three techniques are almost similar and consistent.

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Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach

Bafandegan Emroozi,

Kazemi,

Pooya

et al. 2024

Hum Ftrs & Erg Mfg Svc

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Human error is often implicated in industrial accidents and is frequently found to be a symptom of broader issues within the sociotechnical system. Therefore, research exploring human error during maintenance activities is important. This article aims to assess the probability of human error in maintenance tasks at a cement factory using the Cognitive Reliability and Error Analysis Method and System Dynamics modeling. Given that human error probability (HEP) is influenced by various common performance conditions (CPCs) and their sub‐factors, and changes dynamically in response to other variables, the SD method offers a practical approach for estimating and predicting human error behavior over time. This study identifies and quantifies the variables affecting HEP, explores their interactions and feedback in maintenance tasks, and assesses the associated costs. The machine learning technique is then used to estimate the relationship between HEP and these costs. The optimal value of the HEP function, 0.000772, is determined by identifying the minimum point of a cubic function, thereby minimizing associated costs and occupational accidents. Determining the optimal HEP is crucial for minimizing excessive costs and investing in improved ergonomics and CPCs for better performance. This addresses a significant gap in existing research where the impact of human error on maintenance tasks has not been estimated as a function. Furthermore, three scenarios are presented to help managers allocate the organization's budget more effectively.

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The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities

Cited by 114 publications

References 29 publications

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Considering human error in optimizing production and corrective and preventive maintenance policies for manufacturing systems

Human reliability assessment (HRA) in maintenance of production process: a case study

Evaluating human error probability in maintenance task: An integrated system dynamics and machine learning approach

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