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Applications of Stress

Applications of Stress

Consider a structure made of a boom and a rod designed to support a load. These two components are connected by a pin and stabilized by brackets and pins. The boom and the rod are detached from their supports to assess the different stresses imposed on this structure, and a free-body diagram is drawn. Then, all the forces applied, including the load acting on the structure, are identified. The reaction forces exerted on both the boom and the rod are computed using the equilibrium equations.
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Neuroergonomic Stress Assessment with Two Different Methodologies, in a Manual Repetitive Task-Product Assembly.

Ana García-Acosta¹, Jorge de la Riva-Rodríguez¹, Jaime Sánchez-Leal²

¹Tecnológico Nacional De México, Instituto Tecnológico de Ciudad Juárez, División de Estudios de Posgrado e Investigación, Av. Tecnológico No. 1340 C.P. 32500 Cd. Juárez, Chihuahua, Mexico.

Computational Intelligence and Neuroscience

|June 11, 2021

Summary

This study used electroencephalograms (EEG) to detect stress during repetitive manufacturing tasks. Results show increased stress markers at faster work paces, indicating potential negative impacts on employee well-being and performance.

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Area of Science:

Neuroscience
Occupational Health
Human-Computer Interaction

Background:

Employee emotional states significantly impact workplace productivity and product quality.
Repetitive tasks can induce negative emotions like stress, leading to diminished work performance.
Maintaining a neutral or calm emotional state is crucial for optimal job performance in manufacturing.

Purpose of the Study:

To identify and quantify stress levels in employees performing repetitive manufacturing assembly tasks using electroencephalography (EEG).
To explore the relationship between task speed and emotional stress during manual assembly.
To evaluate the efficacy of EEG-based markers for detecting occupational stress.

Main Methods:

Utilized Emotiv Epoc equipment to measure brain waves via EEG.
Designed a three-workstation manufacturing line for manual, repetitive LEGO car assembly.
Assessed stress using the prefrontal relative gamma (RG) marker and valence, arousal, and dominance (VAD) emotional categories.

Main Results:

The RG marker showed a significant change between relaxation and assembly at 70% of standard time (ST), indicating stress.
A less significant change in RG was observed at 100% ST, also signaling stress.
VAD methodology indicated moderate stress at 70% ST and low stress at 100% ST.

Conclusions:

EEG-based stress detection is feasible in repetitive manufacturing environments.
Task pace significantly influences employee stress levels, with faster speeds correlating to higher stress.
Findings highlight the importance of monitoring employee emotional states to mitigate stress and maintain performance.