Integrating Ergonomics Aspects Into Operations Management Performance Optimization Models: A Modeling Framework
Notice bibliographique
Résumé
OCCUPATIONAL APPLICATIONS Employees play critical roles in improving the performance of operation systems. Work-related health disorders and injuries degrade employees' work performance and hence the performance of the system. Previous studies frequently reported the negative effects of poor ergonomic conditions of the workplace on developing occupational health problems. However, managers lack tools to consider occupational ergonomics aspects, employees' health conditions, and their financial consequences when the performance of systems is optimized. This research provides a hierarchical modeling framework to integrate occupational ergonomics aspects into system performance optimization models. With this modeling approach, ergonomists and human factor practitioners can better influence managers' decisions by developing analytical tools that demonstrate the health, economic, and operational improvement of ergonomics conditions in the system-level analysis.TECHNICAL ABSTRACT Background: Occupational illnesses have negative consequences for employees. They also reduce employees' overall work performance, creating negative economic impacts on companies. Occupational ergonomics studies mostly investigate work-related health and safety aspects of a system to reduce the rate of these health problems for employees. However, they do not usually involve optimizing the performance of a system and do not account for the operational aspects of the system such as demand, workstation interactions, and inventory levels. In contrast, operations management studies usually deal with these operational aspects while optimizing the performance of operation systems. Although human resources are involved in many stages of operation systems, operations management performance optimization models usually use simplifying assumptions regarding human operational characteristics. They rarely include causes and effects of work-related health problems. Purpose and Methods: This article introduces a modeling framework, integrating occupational ergonomics aspects into operations management performance optimization models. It provides a road map for assessing the impact of work-related risk factors, including physical and psychosocial aspects on system performance. Results: An illustrative example demonstrates the applicability of the developed framework in a real situation. The results demonstrate a 0.76% to 3.76% cost growth for a manufacturing system due to the poor ergonomic design of the workplace. Conclusion: By applying this framework, practitioners can find out how the performance of their systems will be enhanced by investing in safer working conditions for employees. Managers can also better assess the economic consequences of a poor ergonomic design and consequent occupational illnesses.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 tête enseignante, 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 ».