Diagnosis About Work Accidents in Textile Industry: Insights to Implement Occupational Health and Safety Systems
Notice bibliographique
Résumé
Purpose: This study aimed to analyze the occupational health and safety data in the textile industry to guide the implementation of the ISO 45001 standard. Theoretical Framework: The global estimates of the International Labor Organization show that the world economy loses about 4% of GDP annually to occupational diseases and accidents, which, in addition to human losses, result in a loss of productivity due to unsafe or unhealthy environments. Motivated by the transition from the OHSAS 18000 standard to the ISO 45001, it is necessary to understand the scenario of industries and the impact that accidents cause. Design/Methodology/Approach: From the collection of data from the state of Santa Catarina in the southern region of Brazil, a diagnosis is presented that may serve as a starting point for improvement actions regarding worker health and safety and as a benchmark for other companies in other sectors. The methodology began with analyzing the state of the art in occupational health and safety management, accident concepts, and the history of this theme worldwide. Findings: The results showed that the main accidents that occurred in the textile factories of Santa Catarina from 2012 to 2022 were with machinery and equipment, followed by accidents with chemical agents, transport vehicles, and biological agents. As for the most affected body parts, these were the fingers, followed by feet, hands (except wrists and fingers), and eyes. Another research question was to identify the sectors of the textile industry that had the most accidents in the period, which were the spinning, weaving, and textile processing sectors. Also, there were two thousand days lost in 2021 alone and, cumulatively, 45,900 days lost in this interim. Research, Practical & Social Implications: The absence of studies of this type for the textile industry and also a starting point for improvement actions regarding worker health and safety and as a benchmark for other companies in other sectors. The adoption of an Occupational Health and Safety Management System with the application of the ISO 45001 standard is a preventive and necessary measure to reduce the rates of accidents and diseases raised in the research carried out. Originality/Value: The relevance of the topic is demonstrated by the large number of accidents registered in Brazil and worldwide and, at the same time, the absence of studies of this type for the textile industry. The clipping of this sector helps to understand the data regarding the most affected body parts, the number of registered work accidents, expenses and waste for companies, their causes, and the sector in which the most accidents occur, thus guiding managers to the implementation of an effective occupational health and safety management system.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,006 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».