Determining performance shaping factors to assess human error in the emergency response team in chemical process industries: a case study

Farhadi, Sajjad; Mohammadfam, Iraj; Kalatpour, Omid; Ghasemi, Fakhradin

doi:10.1080/10803548.2022.2043646

Cited by 5 publications

(2 citation statements)

References 63 publications

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“…The PSFs were designed to improve the performance under expected and benign conditions, and not in risky scenarios [29]. Furthermore, one of the main problems with the existing PSF taxonomy is that they overlap.…”

Section: Csfs Of Performance Shaping Factors (Psfs)mentioning

confidence: 99%

Novel Approach to Energy Management via Performance Shaping Factors in燩ower Plants

Ajmi¹,

Mahmood²,

Jamaludin³

et al. 2022

Computers, Materials &Amp; Continua

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The literature that a lack of integration between the performance shaping factors (PSFs) and the energy management performance (EMP) is one of the critical problems that prevent performance improvement and reduces the power plant's efficiency. To solve this problem, this article aims to achieve two main objectives: (1) Systematically investigate and identify the critical success factors (CSFs) for integration with PSFs and EMP; (2) Develop a novel modelling approach to predict the performance of power plants based on innovative integrated strategies. The research methodology is grounded on the theoretical and practical approach to improving performance. The Newcastle Ottawa Scale (NOS) was used to assess the quality of the literature that met the criteria. To ensure the reliability and accuracy of the proposed model, the researchers developed a hypothesis and evaluated the CSFs via a case study in the Iraqi power plants. The findings of this study succeeded in developing a novel modeling approach to predict the performance by integrating the CSFs of both the PSFs and EMP to increase the positive interaction and energy efficiency of power plants. The results confirmed the validity of the selected hypotheses and verified the positive and important relationship with the success and improvement of the performance in power plants. However, the lack of consistency and balance in the current studies indicates that the performance strategy in power plants did not receive sufficient attention and needs further investigations.

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Section: Csfs Of Performance Shaping Factors (Psfs)mentioning

confidence: 99%

Novel Approach to Energy Management via Performance Shaping Factors in燩ower Plants

Ajmi¹,

Mahmood²,

Jamaludin³

et al. 2022

Computers, Materials &Amp; Continua

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“…Human error (HE) is one of the most common causes of accidents in many industries. Previous studies indicate that HE contributes to 30-90% of all accidents in work environments despite strict safety procedures in those industries [20]. Common types of human errors (HEs) in assembly processes include unsecured links, missing parts, improper part installation, the inadequate application of force to fasteners, breakage during assembly, and contamination by foreign object debris [21,22].…”

Section: Introductionmentioning

confidence: 99%

A New Model for Determining Factors Affecting Human Errors in Manual Assembly Processes Using Fuzzy Delphi and DEMATEL Methods

Alqahtani,

Noman,

Alabdulkarim

et al. 2023

Symmetry

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Human errors (HEs) are common problems in manual assembly processes, impacting product quality and resulting in additional costs. Based on expert judgments, this study aims to identify the most significant factors affecting HEs in manual assembly processes and explore the cause-and-effect relationships among those factors. In order to achieve this objective, a proposed model is constructed using two types of Multi-Criteria Decision-Making (MCDM) techniques. Firstly, using two rounds of the fuzzy Delphi method (FDM), twenty-seven factors with an influence score of 0.7 or higher were found to have a major impact on HEs during manual assembly processes, with at least a 75% consensus among experts. After that, the twenty-seven factors affecting HEs were given to experts in a third round to analyze the cause-and-effect relationships among those factors using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) method. In MCDM techniques, symmetry refers to an important property that can be used to find relationships between variables. It is based on the principle that the relative importance or preference between two variables should remain the same regardless of their positions or roles. Therefore, symmetry is a factor that MCDM approaches take into account to ensure that the relationships between variables are accurately represented, leading to more reliable decision-making outcomes. The reliability and normality of the surveying data were examined using the SPSS 22.0 software program. The study results revealed that training level, poor workplace layout, a lack of necessary tools, and experience were the major factors affecting HEs as root causes. Moreover, a failure to address the error-causing problem, unintentional unsafe acts, fatigue, and poor error visual perception were found to be effect (dependent) factors. The findings of this study can help organizations make better-informed decisions on how to reduce worker errors and interest in the factors that contribute to assembly errors and provide a good basis for reaching the quality of final assembled parts.

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Assessment of emergency risk management and resilience engineering at management levels of a high hazard industry

Omidi,

Karimi,

Moradi

2023

Safety and Reliability

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Determining performance shaping factors to assess human error in the emergency response team in chemical process industries: a case study

Cited by 5 publications

References 63 publications

Novel Approach to Energy Management via Performance Shaping Factors in燩ower Plants

Novel Approach to Energy Management via Performance Shaping Factors in燩ower Plants

A New Model for Determining Factors Affecting Human Errors in Manual Assembly Processes Using Fuzzy Delphi and DEMATEL Methods

Assessment of emergency risk management and resilience engineering at management levels of a high hazard industry

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