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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
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Errors and mistakes in surveying refer to inaccuracies in measurements and data recording. The errors are deviations from the actual value caused by human sensory limitations, equipment flaws, or environmental effects. These errors are typically unintentional and can result from the inherent imperfections in the instruments used, atmospheric conditions, or the observer’s inability to perceive exact measurements. On the other hand, mistakes are caused by the surveyor's lack of...
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Design Consideration01:22

Design Consideration

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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
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A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
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Identifying, classifying and prioritizing factors affecting human errors in the mine design process: A mixed methods

Iraj Mohammadfam1, Ali Asghar Khajevandi1, Hesam Dehghani2

  • 1Occupational Health and Safety Department, Hamadan University of Medical Sciences, Hamedan, Iran.

Work (Reading, Mass.)
|September 4, 2022
PubMed
Summary

Human error in mine design is a significant risk. This study identified organizational and individual factors as primary causes, offering strategies to mitigate design errors (DEs) and improve mine safety.

Keywords:
AccidentsQ-methodologydesign errorminesqualitative study

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Area of Science:

  • Mining Engineering
  • Human Factors Engineering
  • Occupational Safety

Background:

  • Mines present significant safety risks, including accidents and occupational diseases.
  • Identifying and controlling factors contributing to human error in mine design is crucial for prevention.

Purpose of the Study:

  • To explore, categorize, and prioritize factors influencing human errors during the mine design process.
  • To understand the underlying mental patterns associated with design errors (DEs).

Main Methods:

  • Mixed-method approach utilizing qualitative (semi-structured interviews) and quantitative (factor analysis) data.
  • Latent content analysis of interview data from 12 surface mine designers.
  • Factor analysis of expert-rated causes of DEs.

Main Results:

  • Identified 40 main themes across five categories: individual, organizational, external, task, and environmental factors.
  • Revealed four distinct mental patterns related to DEs.
  • Organizational and individual factors (supervision, experience, technical knowledge) were strongest causes; environmental and external factors were weakest.

Conclusions:

  • Successfully identified and categorized causes of DEs in the mining industry.
  • Proposed control strategies for DEs based on expert-identified mental patterns.
  • Aims to enhance safety and reduce incidents in mine design.