Human reliability analysis in maintenance and repair operations of mining trucks: A Bayesian network approach.

Ali Reza Zaker Hossein, Ahmad Reza Sayadi, Mohammad Javad Rahimdel, Mohammad Reza Moradi

Abstract read

In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Smart Glove for Maintenance of Industrial Equipment.Sensors (Basel, Switzerland) · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ali Reza Zaker HosseinDepartment of Mining Engineering, Faculty of Engineering, Tarbiat Modares University, Iran.

Ahmad Reza SayadiDepartment of Mining Engineering, Faculty of Engineering, Tarbiat Modares University, Iran.

Mohammad Javad RahimdelDepartment of Mining Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.

Mohammad Reza MoradiGoharzamin Mining and Industrial Company, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Failures in mining machinery can abruptly halt mineral production and operations, emphasizing the indispensable role of humans in maintenance and repair operations. Addressing human errors is crucial for ensuring a safe and reliable system, particularly during maintenance activities where accidents frequently occur. This paper focuses on evaluating Human Reliability (HR) to enhance activity implementation effectiveness. Given the challenge of limited and uncertain data on human errors, this study aims to estimate the probability of human errors using Bayesian networks (BN) under uncertain parameters. Applying this approach to assess HR in the maintenance and repair operations of mining trucks at Golgohar Iron Ore Mine in Iran, the study identifies critical factors influencing error occurrence in a fuzzy environment. The results highlight key factors impacting human error and offer insights into estimating HR with minimal human intervention.

Indexed as

Bayesian networkFuzzy set theoryHuman reliabilityMaintenanceMining trucks

Identifiers

PMID39144965

DOI10.1016/j.heliyon.2024.e34765

PMCPMC11320161

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.