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Lifting bags of dry concrete mix has caused significant physical fatigue and work-related musculoskeletal disorders (WMSDs) in transportation maintenance workers. Detection of physical fatigue can effectively prevent developing WMSDs. However, there lacks studies exploring the automated detection of physical fatigue in transportation activities. Additionally, previous efforts on physical fatigue detection, primarily focused in the construction sector, may not be directly applicable to transportation activities, due to different activity duration, intensity, and frequency. Also, prior detection methodologies have been examined under laboratory conditions, and their efficacy in real-world environments remains unverified. Therefore, this study explored physical fatigue detection methods by conducting field experiments with 29 transportation maintenance workers lifting bags of dry concrete mix in a highway maintenance facility. Participants' physical fatigue levels were measured using electromyography (EMG), electrodermal activity, and/or heart rate (HR) and motion data with different machine learning algorithms. Results indicated that the Fully Connected Neural Networks algorithm can achieve the highest accuracy (87.84%) with EMG, HR, and motion data for classifying physical fatigue levels in transportation maintenance workers. This study demonstrated the feasibility of automated physical fatigue detection, which can be implemented as a monitoring tool of physical fatigue for enhancing health of transportation practitioners. [ABSTRACT FROM AUTHOR]

Organizations are expected to follow trends and adapt their management to market conditions. In an era of rapid change and an environment that is difficult to predict, this is an extremely complicated task. In order to effectively respond to the needs coming from the market, companies implement various methods and adapt available concepts, translating them into the language of practice. Contemporary quality management methods and tools seem to combine the need to skilfully respond to customer expectations and ensure the appropriate level of sustainability issues in the organization's activities. The main purpose of this article is to analyze the possibilities of using contemporary quality management methods and tools for the sustainable development of the organization. The main method in this article was a literature review that covered the area of the sustainable development of enterprises and the search for good practices in the field of quality management instruments in this area. The other methods are observation and direct interview. Twenty quality methods and tools were selected and divided according to their functions. The research identified benefits and good practices in their use, which can support action for sustainable development. [ABSTRACT FROM AUTHOR]