Abstract
The Agrifood industry in Spain has been slower to adopt Industry 4.0 technologies compared to other industries, such as precision manufacturing or automotive. However, there has been a growing interest in recent years to integrate advanced technologies into the agrifood industry to increase efficiency, reduce waste, and improve sustainability. Sensor-based Industrial Internet of Things (IIoT) related decision making is becoming increasingly important in any manufacturing industry, including Occupational Health and Safety (OHS) issues. The aim of this study is to verity if there is positive and significant relation between Sensor-based IIoT related Safety Decisions Systems and the improvement of Occupational Health and Safety (OHS). This research proceeds with quantitative Structural Equation Model (SEM) study of 43 southern Spanish agrifood companies; being this insight part of larger study on Industry 4.0 implementation in Agrifood industry in Andalusia, Extremadura and Castilla-La Mancha. The proposed hypothesis of positive and significant impact of Sensor-based IIoT related systems on Safety Management in southern Spanish Agrifood industries is overwhelmingly supported by survey participants.
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References
Asadzadeh, A., Arashpour, M., Li, H., Ngo, T., Bab-Hadiashar, A., Rashidi, A.: Sensor-based safety management. Autom. Constr. 113, 103128 (2020)
Badri, A., Boudreau-Trudel, B., Souissi, A.S.: Occupational health and safety in the industry 4.0 era: a cause for major concern? Saf. Sci. 109, 403–411 (2018)
Bolis, I., Morioka, S.N., Brunoro, C.M., Zambroni-de-Souza, P.C., Sznelwar, L.I.: The centrality of workers to sustainability based on values: exploring ergonomics to introduce new rationalities into decision-making processes. Appl. Ergon. 88, 103148 (2020)
Choi, S., Yoon, Y., Lim, S., Park, Y., Suh, S.: A case study on the improvement of real-time facility safety management using sensor. Korean J. Construction Eng. Manag. 21(5), 38–45 (2020)
Gnoni, M.G., Bragatto, P.A., Milazzo, M.F., Setola, R.: Integrating IoT technologies for an ‘intelligent’ safety management in the process industry. Procedia Manuf. 42, 511–515 (2020)
Islam, F.B., Lee, J.-M., Kim, D.-S.: Smart factory floor safety monitoring using UWB sensor. IET Sci. Meas. Technol. 16, 412–425 (2022). https://doi.org/10.1049/smt2.12114
Jacobsen, H., Tan, K.H.: Improving food safety through data pattern discovery in a sensor-based monitoring system. Prod. Plann. Control 1–11 (2021)
Jöreskog, K.G., Sörbom, D., Du Toit, S.H.C.: LISREL 8: New statistical features. Scientific Software International (2001)
Kadir, B.A., Broberg, O., da Conceição, C.S.: Current research and future perspectives on human factors and ergonomics in Industry 4.0. Comput. Ind. Eng. 137, 106004 (2019)
Mohamed, L.N., Fernando, Y., Gani, A.B.D.: A conceptualization of industrial internet of things towards manufacturing safety performance. J. Adv. Res. Bus. Manag. Stud. 29(1), 1–8 (2023)
Li, Y., Guldenmund, F.W.: Safety management systems: a broad overview of the literature. Saf. Sci. 103, 94–123 (2018)
Liu, Z., Xie, K., Li, L., Chen, Y.: A paradigm of safety management in industry 4.0. Syst. Res. Behav. Sci. 37(4), 632–645 (2020)
Misra, S., Roy, C., Sauter, T., Mukherjee, A., Maiti, J.: Industrial internet of things for safety management applications: a survey. IEEE Access 10, 83415–83439 (2022). https://ieeexplore.ieee.org/abstract/document/9841540. Accessed 10 Dec 2022
Şen, G., Medeni, İT., Şen, K.Ö., Durakbasa, N.M., Medeni, T.D.: Sensor based intelligent measurement and blockchain in food quality management. In: Durakbasa, N.M., Gençyılmaz, M.G. (eds.) Digitizing Production Systems. LNME, pp. 323–334. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-90421-0_27
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., Gidlund, M.: Industrial internet of things: challenges, opportunities, and directions. IEEE Trans. Industr. Inf. 14(11), 4724–4734 (2018)
Teixeira, I.T.T., Behrens, F.H.: IoT-based indicator for industrial accident risks. In: Iano, Y., Saotome, O., Kemper, G., Mendes de Seixas, A.C., Gomes de Oliveira, G. (eds.) BTSym 2020. SIST, vol. 233, pp. 148–155. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-75680-2_18
Wu, F., Wu, T., Yuce, M.R.: Design and implementation of a wearable sensor network system for IoT-connected safety and health applications. In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), pp. 87–90. IEEE (2019)
Zorzenon, R., Lizarelli, F.L., de Moura, D.B.A.: What is the potential impact of industry 4.0 on health and safety at work? Saf. Sci. 153, 105802 (2022)
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Torrecilla-García, J.A., del Carmen Pardo-Ferreira, M., Herrera-Perez, V., Rubio-Romero, J.C. (2024). Sensor-Based IIoT-Related Occupational Health and Safety Approach in Agrifood Industry. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_40
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