A Study of Raters Agreement in Quality Inspection with the Participation of Hearing Disabled Employees

Starzyńska, Beata; Szajkowska, Karolina; Diering, Magdalena; Rocha, Álvaro; Reis, Luís Paulo

doi:10.1007/978-3-319-68619-6_85

Cited by 12 publications

(4 citation statements)

References 8 publications

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“…Smith and Colligan [20] reported poorer sleep, greater risk of sickness absence, and a higher alcohol consumption among shift workers compared to the day workers. It is undeniable, however, that resting at other times than those resulting from our biological clock leads to poorer sleep quality (despite an adequate number of hours) [20,28] with all the consequences (the risk of accidents, the decline in the psychomotor performance, the chronic fatigue and the previously mentioned health consequences) [24,35]. According to many authors, correct, restorative sleep should not be less than 7 hours and should happen at night [36].…”

Section: Resultsmentioning

confidence: 99%

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The Model of Changes in the Psychomotor Performance of the Production Workers

et al. 2018

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Abstract:The results of the study indicated a relationship between the worker's psychomotor performance at a certain time of the work shift and the changes in the level of their fatigue. The performance is reflected in the production results, such as the decrease in the productivity and an increase in the number of defects. The results of the study made it possible to define a model (algorithm) of changes in the worker's psychomotor performance. The developed model identifies the direction of the organisational changes in a production plant environment operating in the rotational shift pattern. The organisational changes can relieve staff in the night and minimise the risk of the declining production efficiency during work at night.

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Section: Resultsmentioning

confidence: 99%

“…In turn, these conditions may lead to poor work performance, higher absenteeism, less work productivity or even injury [11,[20][21][22][23]. Thus, it is also important to monitor, analyse and evaluate the impact of organizational factors on the effectiveness of inspection in the manufacturing process [24][25].…”

Section: Introductionmentioning

confidence: 99%

The Model of Changes in the Psychomotor Performance of the Production Workers

et al. 2018

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“…Inspection of measurable features is carried out by direct or indirect measurement, obtaining at the output the numerical value of a process or product feature. Alternative inspection, the so-called assessment of nonmeasurable features, is based on checking and/or observing features (usually product attributes) and classifying the assessed object into one of several possible states [3].…”

Section: Introductionmentioning

confidence: 99%

The impact of the organization of the visual inspection process on its effectiveness

Kujawińska

Diering

2021

Int J Adv Manuf Technol

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The article discusses the impact of the organization of the visual inspection process on its effectiveness and on the efficiency of the manufacturing process. The study was conducted in a wood industry production enterprise, using the example of a three-layer floorboard manufacturing process. The study showed a significant difference between two ways of organizing visual inspection in the technological line. The conclusion of the study is to organize organoleptic (also known as sensory) inspection in the line in such a way as to allow the extraction of non-conforming products from the stream, and not the opposite. The recommended method is characterized by higher inspection efficiency, which through a smaller number of type I and type II errors made by controllers translates directly into an increase in production efficiency.

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“…Some research employs the MSA approach to determine the quality of the product that will be manufactured. For instance, research about machinery and industrial lines [1]-[5], electronics manufacturing [6]-[9], agricultural and poultry [10]-[12], aviation [13], and even employee monitoring and inspection [14].Several studies implement the MSA approach to determine the product quality produced by a machine…”

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confidence: 99%

An Implementation of Measurement System Analysis for IoT-Based Waste Management Development

Wijanarko

Saputra

Suciningtyas

et al. 2022

JRE

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A measurement system is a process that consists of standards, employees, and methods for measuring particular quality characteristics. Measurement System Analysis (MSA) attempts to evaluate a measuring system's precision, accuracy, and consistency so that clients receive high-quality goods. The previous study implements the MSA for machinery and industrial lines, electronics manufacturing, agricultural and poultry, aviation, and even employee monitoring and inspection. Elsewhere, waste management has problems, especially with capacity measurement instruments and weight sensors. This study aims to: (i) build an IoT-based waste management system; and (ii) evaluate the developed system by implementing the MSA technique, focusing on measurement equipment. The Gauge Repeatability and Reproducibility (GRR) Study Type 1, the (GRR) Study, and the Analysis of Variance (ANOVA) are conducted to evaluate the measurement instrument of the waste management system. The study findings that the total variance of the GRR is 20.95 %, and the distinct categories are 6. Thus, as the Automotive Industry Action Group (AIAG) GRR recommendation, the measuring system is marginal (acceptable in certain conditions). Moreover, the ANOVA result indicates that interaction and operators did not affect measurement outcomes because the blue dots remain inside the acceptable range.

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A Study of Raters Agreement in Quality Inspection with the Participation of Hearing Disabled Employees

Cited by 12 publications

References 8 publications

The Model of Changes in the Psychomotor Performance of the Production Workers

The Model of Changes in the Psychomotor Performance of the Production Workers

The impact of the organization of the visual inspection process on its effectiveness

An Implementation of Measurement System Analysis for IoT-Based Waste Management Development

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