Improving the mathematical model of change in the body state of an employee
Keywords:labor safety, production factor, employee’s body condition, Hammerstein model, functional module
Current models of labor safety management at enterprises have several drawbacks. The main drawback of such models consists in their focus on the analysis of the accidents that have already occurred at the enterprise. In addition, the existing models poorly take into account the mutual influence of several production factors on each other during their combined effect on the employee’s body.
To eliminate these shortcomings, the task of improving the mathematical model of change in the employee body state was set. The Hammerstein model was considered as the initial model of change in the employee’s body state. In the course of this model improvement, an individual component of the model that describes the employee’s state immediately before the start of the work shift was chosen for situations of impossibility or severe limitation of applying technologies for monitoring the employee’s body state. To assess the mutual impact of various production factors, instead of a vector function that describes the cumulative effect of factors on the employee’s body, a set of multiple regression equations that describe the mutual impact of factors on individual employee’s body state parameters was introduced into the model.The improved model was tested at an industrial enterprise using the example of a team of welders (5 persons). To assess their body state, systolic and diastolic blood pressure, heart rate and reaction time to a light stimulus were used. The results presented in the article make it possible to draw a general conclusion about the adequacy of the proposed model to the observed results of the impact of production factors on employee organisms. It was pointed out that the results of modeling slightly exceeded the results of direct measurements in most cases
Pro skhvalennia Kontseptsiyi Zahalnoderzhavnoi tsilovoi sotsialnoi prohramy zberezhennia i rozvytku trudovoho potentsialu Ukrainy na period do 2017 r. Rozporiadzhennia Kabinetu Ministriv Ukrainy No. 851-r vid 22.08.2009 r. Available at: https://zakon.rada.gov.ua/laws/show/851-2009-р
DSTU OHSAS 18001:2010 «Systema upravlinnia hihienoiu ta bezpekoiu pratsi». Available at: http://iso.kiev.ua/drugoe/sert-iso-18001.html
Boon, C., Den Hartog, D. N., Lepak, D. P. (2019). A Systematic Review of Human Resource Management Systems and Their Measurement. Journal of Management, 45 (6), 2498–2537. doi: https://doi.org/10.1177/0149206318818718
Trud-Ekspert. Upravlenie. Available at: http://www.kiout.ru/services/IT/trudcontrol
Avtomatizirovannaya Sistema upravleniya promyshlennoy bezopasnost'yu i ohranoy truda. Modul' «Ohrana truda». Available at: https://asupb.ru/system_modules.php#module1
Avtomatizirovannaya informatsionnaya sistema «Ohrana truda». Available at: https://informsviaz.ru/ru/projects/razrabotka-po/detail.php?ELEMENT_ID=292
Chapman, E. F., Sisk, F. A., Schatten, J., Miles, E. W. (2016). Human resource development and human resource management levers for sustained competitive advantage: Combining isomorphism and differentiation. Journal of Management & Organization, 24 (4), 533–550. doi: https://doi.org/10.1017/jmo.2016.37
Kamble, R., Wankhade, L. (2018). Structural modelling approach: the strategy for productivity enhancement in manufacturing industries. International Journal of Business Excellence, 16 (4), 497. doi: https://doi.org/10.1504/ijbex.2018.096221
De Merich, D., Gnoni, M. G., Malorgio, B. et. al. (2018). A new model proposal for occupational health and safety management in small and medium enterprises. Proceedings of the Summer School Francesco Turco, 101–107.
Masuin, R., Latief, Y., Zagloel, T. Y. (2019). Development of information systems in integrated management systems in order to increase organisational performance in a construction company. IOP Conference Series: Earth and Environmental Science, 258, 012012. doi: https://doi.org/10.1088/1755-1315/258/1/012012
Soltanmohammadlou, N., Sadeghi, S., Hon, C. K. H., Mokhtarpour-Khanghah, F. (2019). Real-time locating systems and safety in construction sites: A literature review. Safety Science, 117, 229–242. doi: https://doi.org/10.1016/j.ssci.2019.04.025
Stege, T. A. M., Bolte, J. F. B., Claassen, L., Timmermans, D. R. M. (2019). Particulate matter exposure in roadwork companies: A mental models study on work safety. Safety Science, 120, 137–145. doi: https://doi.org/10.1016/j.ssci.2019.06.043
Shakerian, M., Jahangiri, M., Alimohammadlou, M., Nami, M., Choobineh, A. (2019). Individual cognitive factors affecting unsafe acts among Iranian industrial workers: An integrative meta-synthesis interpretive structural modeling (ISM) approach. Safety Science, 120, 89–98. doi: https://doi.org/10.1016/j.ssci.2019.06.041
Arslan, M., Cruz, C., Ginhac, D. (2019). Semantic trajectory insights for worker safety in dynamic environments. Automation in Construction, 106, 102854. doi: https://doi.org/10.1016/j.autcon.2019.102854
Wolffe, T. A. M., Whaley, P., Halsall, C., Rooney, A. A., Walker, V. R. (2019). Systematic evidence maps as a novel tool to support evidence-based decision-making in chemicals policy and risk management. Environment International, 130, 104871. doi: https://doi.org/10.1016/j.envint.2019.05.065
Aiello, G., Vallone, M., Catania, P. (2019). Optimising the efficiency of olive harvesting considering operator safety. Biosystems Engineering, 185, 15–24. doi: https://doi.org/10.1016/j.biosystemseng.2019.02.016
Yu, Y., Li, H., Umer, W., Dong, C., Yang, X., Skitmore, M., Wong, A. Y. L. (2019). Automatic Biomechanical Workload Estimation for Construction Workers by Computer Vision and Smart Insoles. Journal of Computing in Civil Engineering, 33 (3), 04019010. doi: https://doi.org/10.1061/(asce)cp.1943-5487.0000827
Luo, X., Li, H., Yang, X., Yu, Y., Cao, D. (2018). Capturing and Understanding Workers’ Activities in Far-Field Surveillance Videos with Deep Action Recognition and Bayesian Nonparametric Learning. Computer-Aided Civil and Infrastructure Engineering, 34 (4), 333–351. doi: https://doi.org/10.1111/mice.12419
Lazzerini, B., Pistolesi, F. (2018). An Integrated Optimization System for Safe Job Assignment Based on Human Factors and Behavior. IEEE Systems Journal, 12 (2), 1158–1169. doi: https://doi.org/10.1109/jsyst.2016.2646843
Serdyuk, N. (2013). Functional task of assessing the influence of harmful production factors on people. Eastern-European Journal of Enterprise Technologies, 4 (4 (64)), 22–26. Available at: http://journals.uran.ua/eejet/article/view/16334/13845
Serdyuk, N. N. (2006). Modeli tipa Gammershteyna dlya opisaniya nelineynogo vozdeystviya gruppy faktorov na organizm cheloveka. Radioelektronika i informatika, 1, 111–113.
Dzyundzyuk, B. V., Serdyuk, N. N. (2007). Modeli avtomatizirovannoy podsistemy upravleniya usloviyami truda na rabochem meste operatora radioelektronnyh sredstv. Eastern-European Journal of Enterprise Technologies, 1 (4 (25)), 87–96.
Ievlanov, M., Serdyuk, N. (2015). Forming and analysis of requirements to information-analytical system of management by safety of labour in enterprise. Technology audit and production reserves, 4 (3 (24)), 41–45. doi: https://doi.org/10.15587/2312-8372.2015.47972
Ievlanov, M., Vasiltcova, N., Panforova, I. (2018). Development of methods for the analysis of functional requirements to an information system for consistency and illogicality. Eastern-European Journal of Enterprise Technologies, 1 (2 (91)), 4–11. doi: https://doi.org/10.15587/1729-4061.2018.121849
Yevlanov, M. V. (2018). Udoskonalenyi metod syntezu variantiv opysu arkhitektury stvoriuvanoi informatsiynoi systemy. ASU i pribory avtomatiki, 175, 32–41.
Evlanov, M. V., Serdyuk, N. N. (2015). Modeli i metod opredeleniya sostoyaniya organizma sotrudnika predpriyatiya. Visnyk Natsionalnoho tekhnichnoho universytetu "KhPI". Seriya: Mekhaniko-tekhnolohichni systemy ta kompleksy, 21, 163–169.
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Copyright (c) 2020 Maksym Ievlanov, Nataliia Serdiuk, Andrew Feshchenko, Tetiana Duiunova, Mykola Kiriienko, Ihor Cherepnov, Liudmyla Pivnenko, Vasilij Dyakonov
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