Nowadays, organizations must comply with high-quality standards, health and safety regulations, and socially sustainable practices to succeed in a globalized world. Supply Chains (SC) enable them to satisfy their customers' needs for quality products just in time and at the best price. However, management systems (MS) need to be improved to identify, evaluate, and control ergonomic risks, which opens a research opportunity for Ergonomics Management Systems (EMS) as they apply to sustainable SCs.
View Article and Find Full Text PDFThis research determines the critical factors for implementing ergonomics programs related to health and safety benefits in the manufacturing industries of Ciudad Juarez, Mexico, from the middle/upper management perspective. The sample was non-probabilistically selected for convenience, comprising individuals in middle and senior management positions. An original questionnaire containing 105 items measuring five latent variables was developed, reviewed, and validated for data collection.
View Article and Find Full Text PDFBackground: The sculpting craft must adopt awkward postures that lead to musculoskeletal disorders (MSDs).
Objective: This study investigated the prevalence of musculoskeletal discomfort (MD) and its associations with postural risk factors, demographics, and work characteristics among sculptors. They were determined the differences between MDs during the weeks of the study.
Background: Today's work environments have high cognitive demands, and mental workload is one of the main causes of work stress, human errors, and accidents. While several mental workload studies have compared the mental workload perceived by groups of experienced participants to that perceived by novice groups, no comparisons have been made between the same individuals performing the same tasks at different times.
Objective: This work aims to compare NASA Task Load Index (NASA-TLX) to Workload Profile (WP) in terms of their sensitivity.
In the manufacturing environments of today, human-machine systems are constituted with complex and advanced technology, which demands workers' considerable mental workload. This work aims to design and evaluate a Graphical User Interface developed to induce mental workload based on Dual N-Back tasks for further analysis of human performance. This study's contribution lies in developing proper cognitive analyses of the graphical user interface, identifying human error when the Dual N-Back tasks are presented in an interface, and seeking better user-system interaction.
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