Early-design improvement of human reliability in an experimental facility: A combined approach and application on SPES

Giardina, Mariarosa; Buffa, Pietro; Dang, Vinh N.; Greco, Salvatore F.; Podofillini, Luca; Prete, G.

doi:10.1016/j.ssci.2018.08.008

Cited by 13 publications

(16 citation statements)

References 19 publications

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“…The combination of these PIFs (GTTs and EPCs) determines task reliability and HEP. In this method, any interface between humans and their tasks will be assessed (Aalipour et al, 2016;Giardina et al, 2019). The HEART method's predefined PIFs cover motor (n=3), cognitive (n=21), and perceptual (n=4) factors.…”

Section: Human Error Assessment and Reduction Technique (Heart)mentioning

confidence: 99%

The Integration of Human Factors to Warehousing and Manual Order Picking Operations

Setayesh

2023

Preprint

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<p>Human Factors (HF) identified as the main concern of studies since poor HF and system design interaction has a negative impact on quality, error occurrence, system performance, and worker’s well-being. This dissertation takes literature review and sensitivity analysis to assess human- system errors by focusing on: 1) finding the most suitable model to estimate human-system errors, 2) identifying failure modes causing human-system errors, 3) creating a tool that capable of identifying the source of pick errors and degraded quality at the initial stage of a design, 4) evaluating the usability, functionality, and usefulness of the developed tool. The most common Human Reliability Assessment (HRA) models were studied to identify the most suitable model to estimate human error probability (HEP) in various contexts. The qualitative and quantitative analysis among the most common HRA models showed that these models are suffering from lack of guideline on Performance Indicating Factors (PIFs) selection and multiplier values allocation. Hence, a need for creating and validating new empirically based models in different sectors were recognized. Therefore, the focus of the research study was changed from finding a suitable model to determining the source of errors in manual order picking operation. The developed Warehouse Design Error Prevention (WDEP) checklist tool integrated HF aspects to both Order Picking (OP) design elements and warehouse management elements based on the identified failure modes from literature and field studies as elaborated in chapter 3 of this dissertation. Tool usability, functionality, and usefulness were evaluated through the survey study and qualitative interviews. The outcome of the user evaluation found the created tool useful, functional, and useable both at the initial stage of a design as well as during process improvement process. These dissertation findings illustrate the need for developing HF measures that contribute to pick errors and optimize OP system design strategies concerning HF demands by creating and validating the error prevention checklist tool. </p>

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Section: Human Error Assessment and Reduction Technique (Heart)mentioning

confidence: 99%

The Integration of Human Factors to Warehousing and Manual Order Picking Operations

Setayesh

2023

Preprint

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“…The secondgeneration methodologies that have appeared on the basis of former category and are still being developed, put stress on cognitive information-processing to explain causes of human error. The relatively salient techniques are CREAM [22,23], MERMOS [24], and ATHEANA [25]. The third-generation, known as next-generation methodologies, is emerging to bridge the gaps of the both previous HRA generations.…”

Section: State Of the Artmentioning

confidence: 99%

Human reliability analysis in de-energization of power line using HEART in the context of Z-numbers

et al. 2021

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Investigation reveals that a high percentage of incident causes are ascribed to some forms of human error. To effectively prevent incidents from happening, Human Reliability Analysis (HRA), as a structured way to represent unintentional operator contribution to system reliability, is a critical issue. Human Error Reduction and Assessment Technique (HEART) as a famous HRA technique, provides a straightforward method to estimate probabilities of human error based on the analysis of tasks. However, it faces varying levels of uncertainty in assigning of weights to each error producing condition (EPC), denoted as assessed proportion of affect (APOA), by experts. To overcome this limitation and consider the confidence level (reliability or credibility) of the experts, the current study aimed at proposing a composite HEART methodology for human error probability (HEP) assessment, which integrates HEART and Z-numbers short for, Z-HEART. The applicability and effectiveness of the Z-HEART has been illustrated in the de-energization power line as a case study. Furthermore, a sensitivity analysis is fulfilled to investigate the validity of the proposed methodology. It can be concluded that Z-HEART is feasible for assessing human error, and despite the methodological contributions, it offers many advantages for electricity distribution companies.

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“…Akyüz, et al [19] presented a systematic HEP during bunkering operation at chemical tanker ship using the Shipboard Operation Human Reliability Analysis. Giardina, et al [20] presented an integrated approach based on Hierarchical Task Analysis and three human error quantification methods as HEART, Standardized Plant Analysis Risk Human Reliability Analysis and the CREAM method integration. Proposed approach was implemented for an innovative plant as an advanced nuclear physic application.…”

Section: Scientific Literature Reviewmentioning

confidence: 99%

Implementation of Heart and Dematel Integration to Steam Boiler Working Process

Can¹

2021

EOIJ

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Human Error Assessment and Reduction Technique (HEART) is a practical and powerful approach to prioritize errors related to human actions, based on probabilities. HEART can determine error producing conditions (EPCs) which cause human errors for different processes including main duties (MDs) and sub-duties (SDs). HEART can be applied quickly for any process where human reliability is important. In this study, HEART and advanced version of Decision Making Trial and Evaluation Laboratory (AV-DEMATEL) integration proposed by Can and Delice in 2018 was performed for evaluating human related errors in steam boiler working process. In this way, the interactions between MDs, SDs and EPCs in a steam boiler working process were considered to compute process error probability (PEP). Additionally, the applicability of the proposed approach by Can and Delice (2018) was demonstrated again.

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Early-design improvement of human reliability in an experimental facility: A combined approach and application on SPES

Cited by 13 publications

References 19 publications

The Integration of Human Factors to Warehousing and Manual Order Picking Operations

The Integration of Human Factors to Warehousing and Manual Order Picking Operations

Human reliability analysis in de-energization of power line using HEART in the context of Z-numbers

Implementation of Heart and Dematel Integration to Steam Boiler Working Process

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