Impact of the Environmental Factors and its Effects on Productivity and Health

Kralikova, Ruzena; Wessely, Emil

doi:10.2507/29th.daaam.proceedings.016

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Using mathematical statistics methods, an original mathematical model [28,29] was developed, which allows to express the effect of the negative effect of microclimate factors and to evaluate the workload of employees by microclimatic conditions during working hours (8 hours). The total load (Z) can be expressed as the result of the action of the individual load factors using the formula:…”

Section: Research Descriptionmentioning

confidence: 99%

Application of the Mathematic Model to Evaluation of Worker´S Well-Being

Kralikova¹,

Dzunova²,

Koblasa³

et al. 2019

DAAAM Proceedings

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The article is aimed at assessing the possible negative impact of microclimate factors on work wellbeing, health and work productivity of the employees of the selected operation. In this paper, the effect of microclimate conditions such as air humidity, air flow and air temperature on workers comfort perception were studied. The research was carried out on a sample of 5 workers out of a total of 15 employees in the production hall. The aim of the research was to determine the level of influence of selected thermal parameters on the physical and mental well-being of employees. Participants were asked to complete a questionnaire designed to determine the level of perception of the impact of selected thermal parameters on the most vulnerable body parts. A mathematical model was used for a comprehensive assessment of the work environment's impact on employees. As the productivity of employees may also depend on employee satisfaction, research results can be used to improve the comfort of employees and to achieve better work performance.

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Section: Research Descriptionmentioning

confidence: 99%

Application of the Mathematic Model to Evaluation of Worker´S Well-Being

Kralikova¹,

Dzunova²,

Koblasa³

et al. 2019

DAAAM Proceedings

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“…Lower levels of job control and reduced social support at work are associated with a higher risk of dementia. Lower workload and physical load, high task resources, and good leadership are related to better working ability [10]. Stress is a physical, mental, or emotional factor that causes bodily or mental tension and it can have a negative impact on work performance (Fig.…”

Section: Stress and Exhaustionmentioning

confidence: 99%

Man-Machine-Environment System Analyses and Impact of Environment Factors to Productivity and Health of Employees

Kralikova¹,

Dzunova²,

Piňosová³

et al. 2019

DAAAM Proceedings

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In the research literature, the work environment is often characterized by physical, chemical, biological, and cultural complex factors that affect an employee at the workplace. The work environment is part of the "man-machineenvironment" system. In this system, "man" refers to the subject in the workplace (e.g operators, decision-makers), "machine" is the general name for any object controlled by man (tools, machines, computers), and "environment" describes the specific working conditions under which man and machine interact (temperature, noise, vibration, lighting, radiation, chemicals, hazardous gases etc.). The working environment creates a wider or narrower set of factors which are affecting this system. The role of this whole system is to create optimum conditions for achieving the desired results. The three main goals to optimize are to ensure safety, high efficiency, productivity and economy of "man-machineenvironment" system. Man-machine-environment system engineering is a new developing synthesis frontier science. It analyses three factors for man, machine and environment of the system and the relationship among them to make the system become "safety, and productivity. For problem-solving in this system, the physical factors are very important and may represent a significant risk for employees. These factors affect the human senses, burden the nervous system and can negatively affect overall health and cause stress. Factors can be external (from the environment, psychological, or social situations) or internal (illness). Examination and assessment of working conditions for their impact on employees are challenging, time-consuming and it is essential to do it regularly to achieve reliable results. This paper relates by comparing the results from previous and current assessments to capture developmental tendency, identify progress or regress and subsequently decide on the next steps.

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“…Productivity is also affected by environmental conditions such as illuminance, temperature, relative humidity, air quality and noise [ 16 ]. In particular, an uncomfortable working environment can have a negative impact on workers’ performance and health [ 17 ] and therefore reduce job satisfaction [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

ECG-Based Stress Detection and Productivity Factors Monitoring: The Real-Time Production Factory System

Donati

Olivelli

Giovannini³

et al. 2023

Sensors

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Productivity and production quality have become primary goals for the success of companies in all industrial and manufacturing sectors. Performance in terms of productivity is influenced by several factors including machinery efficiency, work environment and safety conditions, production processes organization, and aspects related to workers’ behavior (human factors). In particular, work-related stress is among the human factors that are most impactful and difficult to capture. Thus, optimizing productivity and quality in an effective way requires considering all these factors simultaneously. The proposed system aims to detect workers’ stress and fatigue in real time using wearable sensors and machine learning techniques and also integrate all data regarding the monitoring of production processes and the work environment into a single platform. This allows comprehensive multidimensional data analysis and correlation research, enabling organizations to improve productivity through appropriate work environments and sustainable processes for workers. The on-field trial demonstrated the technical and operational feasibility of the system, its high degree of usability, and the ability to detect stress from ECG signals exploiting a 1D Convolutional Neural Network (accuracy 88.4%, F1-score 0.90).

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Impact of the Environmental Factors and its Effects on Productivity and Health

Cited by 6 publications

References 8 publications

Application of the Mathematic Model to Evaluation of Worker´S Well-Being

Application of the Mathematic Model to Evaluation of Worker´S Well-Being

Man-Machine-Environment System Analyses and Impact of Environment Factors to Productivity and Health of Employees

ECG-Based Stress Detection and Productivity Factors Monitoring: The Real-Time Production Factory System

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