Науковий вісник НГУ

Stochastic models of work and rest schedules

• 
• 

User Rating:  / 0

PoorBest 

Details

Category: Content №1 2024

Last Updated on 29 February 2024

Published on 30 November -0001

Hits: 2059

Authors:

A.P.Bochkovskyi*, orcid.org/0000-0002-4166-3148, Odesa Polytechnic National University, Odesa, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (1): 114 - 121

https://doi.org/10.33271/nvngu/2024-1/114

Abstract:

Purpose. To develop stochastic models for determining the duration of work and rest schedules that ensure protection of workers from occupational hazards and a high level of labor productivity during a work shift.

Methodology. Analysis of scientific literature was applied to determine the purpose and tasks of the research; methods of formalization – to describe the characteristics, dynamics and states of random processes of accumulation and elimination of the consequences of the negative impact of harmful production factors occurring in an worker within the work and rest schedules; methods of semi-Markov processes theory, theories of reliability and recovery – to build stochastic models of work and rest schedules, determine the conditions and probability of a stable mode of their operation.

Findings. Stochastic models were developed to determine the duration of work schedules, at the end of which the level of accumulation of the consequences of the negative impact of harmful production factors in the worker will not exceed the set maximum permissible values with a high probability. And such durations of rest schedules, at the end of which this level will be equal to zero (also with a high probability). The condition for ensuring the stable operation of these schedules throughout the entire period of work experience at the workplace was determined by the author.

Originality. For the first time an approach to the development of work and rest schedules at workplaces is proposed, which, contrary to others, is based on determining the probabilities of the levels of accumulation of the consequences of the negative impact of harmful production factors in the worker at the end of these schedules, given the actual random and dynamic characteristics of such impact. This, in turn, allows ensuring the protection of the worker both from accidents caused by the fatigue and from professional illness.

Practical value. The proposed approach allows increasing the economic efficiency of the enterprise by ensuring a high level of labor productivity, which is achieved by simultaneous development of the maximum possible duration of work and the minimum possible duration of rest schedules, which exclude the worker’s development and occurrence of fatigue and professional illness with a high probability.

Keywords: occupational health and safety, work-rest schedule, professional illness, negative production factors

References.

1. International Labour Organization (ILO) (2019). Safety and Health at the heart of the Future of Work: Building on 100 years of experience (Report, Geneva). Retrieved from https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/documents/publication/wcms_686645.pdf.

2. Burgard, S. A., & Lin, K. Y. (2013). Bad Jobs, Bad Health? How Work and Working Conditions Contribute to Health Disparities. The American behavioral scientist, 57(8), 1105-1127. https://doi.org/10.1177/0002764213487347.

3. Holinko, V., Cheberiachko, I., Symanovych, H., & Kicki, J. (2019). Designing the half-masks of filter respirators for workers of mining enterprises. E3S Web Conf.: Ukrainian School of Mining Engineering – 2019, 123, 01001. https://doi.org/10.1051/e3sconf/201912301001.

4. Bochkovskуi, A. P. (2020). Improvement of risk management principles in occupational health and safety. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (4), 94-104. https://doi.org/10.33271/nvngu/2020-4/094.

5. Xu, S., & Hall, N. G. (2021). Fatigue, personnel scheduling and operations: Review and research opportunities. European Journal of Operational Research, 295(3), 807-822. https://doi.org/10.1016/j.ejor.2021.03.036.

6. Gawron, V. J. (2016). Overview of self-reported measures of fatigue. The International Journal of Aviation Psychology, 26(3-4), 120-131. https://doi.org/10.1080/10508414.2017.1329627.

7. Yi, W., & Chan, A. P. C. (2013). Optimizing work–rest schedule for construction rebar workers in hot and humid environment. Building and Environment, 61, 104-113. https://doi.org/10.1016/j.buildenv.2012.12.012.

8. Chan, A. P. C., Yi, W., Wong, D. P., Yam, M. C. H., & Chan, D. W. M. (2012). Determining an optimal recovery time for construction rebar workers after working to exhaustion in a hot and humid environment. Building and Environment, 58, 163-171. https://doi.org/10.1016/j.buildenv.2012.07.006.

9. Chan, A. P. C., Yam, M. C. H., Chung, J. W. Y., & Yi, W. (2012). Developing a heat stress model for construction workers. Journal of Facilities Management, 10(1), 59-74. https://doi.org/10.1108/14725961211200405.

10. Jaber, M. Y., & Neumann, W. P. (2010). Modelling worker fatigue and recovery in dual-resource constrained systems. Computers & Industrial Engineering, 59(1), 75-84. https://doi.org/10.1016/j.cie.2010.03.001.

11. Jamshidi, R. (2019). Stochastic human fatigue modeling in production systems. Journal of Industrial and Systems Engineering, 12(1), 270-283. ISSN: 1735-8272.

12. Hooda, D. S., & Raich, Vivek (2022). Fuzzy Logic Models and Fuzzy Control. An Introduction. Oxford, U.K.: Alpha Science International Ltd. Retrieved from https://www.researchgate.net/publication/362325701_Fuzzy_Logic_Models_and_Fuzzy_Control_An_Introduction, ISBN: 978-1-78322-326-5.

13. Golinko, V., Cheberyachko, S., Deryugin, O., Tretyak, O., & Dus­matova, O. (2020). Assessment of the Risks of Occupational Diseases of the Passenger Bus Drivers. Safety and Health at Work, 4(11), 543-549. https://doi.org/10.1016/j.shaw.2020.07.005.

14. Pega, F., Náfrádi, B., Momen, N. C., Ujita, Y., Streicher, K. N., Prüss-Üstün, A. M., …, & Woodruff, T. J. (2021). Global, regional, and national burdens of ischemic heart disease and stroke attributable to exposure to long working hours for 194 countries, 2000–2016: A systematic analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury. Environment International, 154, 106595. https://doi.org/10.1016/j.envint.2021.106595.

15. GBD 2015 Mortality and Causes of Death Collaborators (2016). Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet (London, England), 388(10053), 1459-1544. https://doi.org/10.1016/S0140-6736(16)31012-1.

16. Hämäläinen, P., Takala, J., & Kiat, Tan Boon (2017). Global Estimates of Occupational Accidents and Work-related Illnesses 2017 (Workplace Safety and Health Institute). Retrieved from: https://www.icohweb.org/site/images/news/pdf/Report%20Global%20Estimates%20of%20Occupational%20Accidents%20and%20Work-related%20Illnesses%202017%20rev1.pdf.

17. Caldwell, J. A., Caldwell, J. L., Thompson, L. A., & Lieberman, H. R. (2019). Fatigue and its management in the workplace. Neuroscience & Biobehavioral Reviews, 96, 272-289. https://doi.org/10.1016/j.neubiorev.2018.10.024.

18. Bochkovskуi, A. P. (2021). Elaboration of stochastic models to comprehensive evaluation of occupational risks in complex dynamic systems. Journal of Achievements in Materials and Manufacturing Engineering, 104(1), 31-41. https://doi.org/10.5604/01.3001.0014.8484.

19. Sheahan, P. J., Diesbourg, T. L., & Fischer, S. L. (2016). The effect of rest break schedule on acute low back pain development in pain and non-pain developers during seated work. Applied Ergonomics, 53(A), 64-70. https://doi.org/10.1016/j.apergo.2015.08.013.

20. Vassiliou, P.-C., & Andreas, C. Georgiou (2021). Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields. MDPI. https://doi.org/10.3390/books978-3-0365-2399-6.

21. Ibe, O.C. (2013). Markov Processes for Stochastic Modeling, (2 ^nd ed.). Elsevier. https://doi.org/10.1016/C2012-0-06106-6.

22. Bochkovskyi, A. P., & Sapozhnikova, N. Yu. (2021). Development of system of automated occupational health and safety management in enterprises. Journal of Achievements in Materials and Manufacturing Engineering, 107(1), 28-41. https://doi.org/10.5604/01.3001.0015.2454.

23. Bochkovskуi, A. P., & Sapozhnikova, N. Yu. (2019). Minimization of the “human factor” influence in Occupational Health and Safety. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (6), 95-106. https://doi.org/10.29202/nvngu/2019-6/14.

• < Prev
• Next >