Postural Risk Assessment in Wood Measurement: A Follow-Up Study To Explore New Measurement Options And To Check The Repeatability of Outcomes When Using Digital Options

• Autorzy: Borz Stelian Alexandru , Marcu Marina Viorela , Iordache Eugen

Identyfikatory

DOI

10.53502/wood-195843

• Języki publikacji: EN

Abstrakty

EN

Technological development and digitalization have brought new opportunities in many industrial sectors, including forestry. Wood measurement is an important process which in many regions is shifting from manual methods to the use of digital tools, and the validation of new approaches is necessary to ensure the sustainability of the sector. This study was set up mainly as a follow-up attempt to validate results concerning postural risks when using digital tools to measure logs. In addition, the study explores the postural implications of a new measurement option, namely scanning of wood loaded into trucks. Generally, the digital measurement options involving the use of smartphones and professional LiDAR scanners generated lower postural risks, results which are consistent with and validate previous findings. Although the studied measurement options displayed statistically significantly different profiles in terms of postural conditions, manual wood measurement remains challenging in terms of postural risk. From a postural assessment perspective, transition to digital tools in wood measurement seems to be a sustainable option in the long run, but it will require the further development of existing algorithms so as to be able to extract useful information from the collected data.

Słowa kluczowe

EN

wood supply chain; close range sensing; ergonomics; health risk; comparison

• Wydawca: Sieć Badawcza Łukasiewicz - Poznański Instytut Technologiczny
• Czasopismo: Drewno : prace naukowe, doniesienia, komunikaty
• Rocznik: 2025
• Tom: Vol. 68, nr 215
• Strony: Art. no. 195843
• Opis fizyczny: Bibliogr. 25 poz., rys., wykr.

Twórcy

autor

Borz Stelian Alexandru

• Transilvania University of Brasov, Romania

• https://orcid.org/0000-0003-4571-7235

autor

Marcu Marina Viorela

• Transilvania University of Brasov, Romania

• https://orcid.org/0000-0001-5352-9686

autor

Iordache Eugen

• Transilvania University of Brasov, Romania

• https://orcid.org/0000-0001-5750-5243

Bibliografia

• Borz, S.A., Talagai, N., Cheţa, M., Chiriloiu, D., Gavilanes Montoya, A.V., Castillo Vizuete, D.D., Marcu, M.V. 2019. Physical strain, exposure to noise and postural assessment in motor-manual felling of willow short rotation coppice: Results of a preliminary study. Croat. J. For. Eng. 40, 377–388.
• Borz, S.A., Proto, A.R. 2022. Application and accuracy of smart technologies for measurements of roundwood: Evaluation of time consumption and efficiency. Com-put. Electron. Agr. 197, 106990.
• Borz, S.A., Morocho Toaza, J.M., Forkuo, G.O., Marcu, M.V., 2022a. Potential of Measure app in estimating log biometrics: A comparison with conventional log measurement. Forests 13, 1028.
• Borz, S.A., Papandrea, S., Bacenetti, J., Proto, A.R. 2022b. Postural assessment of three measurement op-tions by the OWAS method: Digital solutions seem to be better. Forests 13, 2007.
• Calvo, A. 2009. Musculoskeletal disorders (MSD) risks in forestry: A case study to propose an analysis method. Agric. Eng. Int., 11, 1–9.
• Cheţa M., Marcu, M.V., Borz, S.A. 2018. Workload, ex-posure to noise, and risk of musculoskeletal disorders: A case study of motor-manual tree felling and pro-cessing in poplar clear cuts. Forests 9, 300.
• Corella Justavino, F., Jimenez Ramirez, R., Meza Perez, N., Borz, S.A. 2015. The use of OWAS in forest opera-tions postural assessment: advantages and limitations. Bull. Transilvania Univ. Braşov 8, 7–16.
• David, G.C. 2005. Ergonomic methods for assessing expo-sure to risk of factors for work-related musculoskeletal disorders. Occup. Med-C. 55, 190–199.
• de Miguel-Díez, F., Reder, S., Wallor, E., Bahr, H., Blasko, L., Mund, J.-P., Cremer, T. 2022. Further application of using a personal laser scanner and simultaneous lo-calization and mapping technology to estimate log’s vol-ume and its comparison with traditional methods. International Journal of Applied Earth Observations and Geoinformation 109, 102779.
• Forkuo, G.O., Borz S.A. 2023. Accuracy and inter-cloud precision of low-cost mobile LiDAR technology in es-timating soil disturbance in forest operations. Front. For. Glob. Change 6,1224575.
• Gallis, C., 2006. Work-related prevalence of Musculoskele-tal symptoms among Greek forest workers. Int. J. Ind. Ergonom. 36, 731–736.
• Grzywinski, W., Wandycz, A., Tomczak, A., Jelonek, T., 2016. The prevalence of self-reported musculoskeletal symptoms among loggers in Poland. Int. J. Ind. Er-gonom. 52, 12–17.
• Helander, M., 2006. A Guide to Human Factors and Ergo-nomics, 2nd ed.; CRC Press: Boca Raton, FL, USA.
• Karhu, O., Kansi, P., Kuorinka, I. 1977. Correcting work-ing postures in industry: a practical method for analy-sis. Appl. Ergon. 8, 199–201.
• Kemmerer, J., Labelle, E.R., 2021. Using harvester data from on-board computers: a review of key findings, opportu-nities and challenges. Eur. J. For. Res. 140 (1), 1–17.
• Leahu, I. 1994. Dendrometrie. EdituraDidacticăşi Peda-gogicăBucureşti, 374 p.
• Lundbäck, M., Häggström, C., Nordfjell, T., 2021. World-wide trends in methods for harvesting and extracting in-dustrial roundwood. International Journal of Forest Engineering 32, 202–215.
• Marogel-Popa, T., Cheţa, M., Marcu, M.V., Duţă, C.I., Ioraş, F., Borz, S.A. 2019. Manual cultivation opera-tions in poplar stands: A characterization of job diffi-culty and risks of health impairment. Int. J. Env. Res. Pub. Health 16, 1911.
• Marogel-Popa, T., Marcu, M.V., Borz, S.A. 2020. Pos-tural risk in manual plating operations of poplar: two options compared. Sustainability 12, 5531.
• Moskalik, T., Borz, S.A., Dvorák, J., Ferencik, M., Glushkov, S., Muiste, P., Lazdinš, A., Styranivsky, O., 2017. Timber harvesting methods in Eastern European countries: A review. Croat. J. For. Eng. 38, 231–241.
• Müller, F., Jaeger, D., Hanewinkel, M., 2019. Digitization in wood supply-a review of how Industry 4.0 will change the forest value chain. Comput. Electron. Agr. 162, 206–218.
• Niţă, M.D., Borz S.A., 2023. Accuracy of a Smartphone-based freeware solution and two shape reconstruction algorithms in log volume measurements. Comput. Electron. Agr. 205, 107653.
• Spinelli, R., Aminti, G., Magagnotti, N., De Francesco, F. 2018. Postural risk assessment of small-scale debarkers for wooden post production. Forests 9, 111.
• Tomaštíc, J., Saloň, S., Tunák, D., Chudy, F., Kardoš, M. 2017. Tango in forests – an initial experience of the use of new Google technology in connection with forest inventory tasks. Comput. Electron. Agr. 141, 109–117.
• Zanuttini, R., Cielo, P., Poncino, D. 2005. The OWAS method. Preliminary results for the evaluation of the risk of work-related musculo-skeletal disorders (WMSD) in the forestry sector in Italy. For. Riv. Selvico. Ecol. For. 2, 242–255.