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    Model proposal for physically ergonomic risky personnel scheduling problem: An application in textile industry for female employees
    (Gazi Univ, Fac Engineering Architecture, 2023) Aksut, Güler; Alakaş, Hacı Mehmet; Eren, Tamer; Karaçam, Hikmet
    One of the most important risks encountered in the textile sector, a labor-intensive industry where women work intensively, is ergonomic risks, which are the basic and inseparable part of occupational health and safety practices. Repetitive movements, improper posture, working in the same position for a long time are the most common ergonomic risks and cause musculoskeletal disorders. The high incidence of this disease in the textile industry also reveals the need for ergonomic regulation. Job rotation allows employees to work in different positions, thus balancing individual ergonomic risks. In this study, it is aimed to improve occupational safety and health by reducing the number of employees who are exposed to high ergonomic risks. For this purpose, the physical risks of 15 distinct missions in the t-shirt production process from sewing to packaging in a textile company producing t-shirts were determined by the REBA method. By creating a mathematical model with goal programming, staff scheduling was prepared to reduce the ergonomic risk in the employees, providing alternate work with weekly job rotation. As a result, the staff schedule will reduce employee health and safety problems, increase productivity and quality of life, and increase employee concentration and job satisfaction. In addition, it prevents employees from permanently working in high-risk locations and will increase the firm's efficiency by balancing the risks they are exposed to.
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    Selection of wearable sensors for health and safety use in the constructıon industry
    (Vilnius Gediminas Tech Univ, 2023) Aksut, Güler; Eren, Tamer
    Construction industry workers; are exposed to serious safety and health risks, hazardous work environments, and intense physical work. This situation causes fatal and non-fatal accidents, reduces productivity, and causes a loss of money and time. Construction safety management can use wearable sensors to improve safety performance. Since there are many types of sensors and not all sensors can be used in construction applications, it is necessary to identify suitable and reliable sensors. This requirement causes a sensor selection problem. The study aims to determine the priority order of physiological and kinematic sensors in preventing risks in the construction industry. Within the scope of this purpose, five criteria and seven alternatives were determined in line with the literature research and expert opinions. The criteria weights were calculated with the AHP method, and the alternatives were ranked with PROMETHEE and AHP. Providing a proactive approach to the use of sensors in the construction industry will provide safer working conditions, identify work-ers at risk, and help identify and predict potential health and safety risks. It will contribute to the literature on improving construction health and safety management.