Abstract
The concept of occupational health becomes more and more popular in 2019. This study choose workers on the PCB production lines of A Factory and B Factory in Taoyuan are taken as the target population in 2014 first generation of health promotion management database system, and a total of 340 active workers aged between 20 and 65, and with more than a year of work experience, are selected as the research subjects to facilitate the effectiveness of this study. However, in the electronic heath database test project of this study, when the various departments use the health promotion management database system as a management decision-making action, the time is greatly shortened, which is also because the employees of various departments change from the behaviors and cognition, attitude, and self-efficacy, which is also very important positive results.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Andersen, L.L., Burdorf, A., Fallentin, N., Persson, R., Jakobsen, M.D., Mortensen, O.S.: Holtermann, patient transfers and assistive devices: prospective cohort study on the risk for occupational back injury among healthcare workers. Scand. J. Work Environ. Health 40(1), 74–81 (2014)
Chen, C.Y., Chang, K.C., Wang, G.B.: Study of high-tech process furnace using inherently safer design strategies (I) temperature distribution model and process effect. J. Loss Prev. Process Ind. 26, 1198–1211 (2013)
Lu, C.C., Chang, K.C., Chen, C.Y.: Study of high-tech process furnace using inherently safer design strategies (IV). The advanced thin film manufacturing process design and adjustment. J. Loss Prev. Process Ind. 40, 378–395 (2016)
Chu, K.C.: Establishment of the health promotion management database and its effect evaluation - with PCB manufacturing factories as the example. Ind. Saf. Health 316(6), 68–80 (2015)
Lu, C.C., Chang, K.C., Chen, C.Y.: Study of high-tech process furnace using inherently safer design strategies (III) advanced thin film process and reduction of power consumption control. J. Loss Prev. Process Ind. 43, 280–291 (2016)
Fujishiro, K., Geer, G.C., de Castro, A.B.: Associations of workplace aggression with work-related well-being among nurses in the philippines. Am. J. Public Health 101(5), 861–867 (2011)
Jay, O., Kenny, G.P.: Heat exposure in the Canadian workplace. Am. J. Ind. Med. 53(8), 842–853 (2010)
Chu, K.C., Horng, D.J., Chang, K.C.: Numerical optimization of the energy consumption for wireless sensor networks based on an improved ant colony algorithm. J. IEEE Access 7, 105562–105571 (2019)
Chen, C.Y., Chang, K.C., Lu, C.C., Wang, G.B.: Study of high-tech process furnace using inherently safer design strategies (II) deposited film thickness model. J. Loss Prev. Process Ind. 26, 225–235 (2013)
Labriola, M., Lund, T., Christensen, K.B., Albertsen, K., Bültmann, U., Jensen, J.N., Villadsen, E.: Does self-efficacy predict return-to-work after sickness absence? A prospective study among 930 employees with sickness absence for three weeks or more. Work 29(3), 233–238 (2007)
Njagi, A.N., Oloo, A.M., Kithinji, J., Kithinji, J.M.: Knowledge, attitude, and practices of health-care waste management and associated health risks in the two teaching and referral hospitals in Kenya. J. Community Health 37(6), 1172–1177 (2012)
Santos, M.B.G., Carvalho, L.S., Carvalho, R.S., Cunha, J.C.M., Araujo, I.F.: Risk of accidents at work in cachaca manufacturing process. In: Sho2015: International Symposium on Occupational Safety and Hygiene, pp. 335–337 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chang, KC. et al. (2020). Study on Health Protection Behavior Based on the Big Data of High-Tech Factory Production Line. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_63
Download citation
DOI: https://doi.org/10.1007/978-981-15-3308-2_63
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3307-5
Online ISBN: 978-981-15-3308-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)