Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes0-43956 
This is an open access article distributed under the CC BY 4.0
Creative Commons License

Volume 21 article 1147 pages: 1074 -1082

Vesna K Spasojević-Brkić*
University of Belgrade - Faculty of Mechanical Engineering, Belgrade, Serbia

Aleksandar Brkic
Innovation Center of Faculty of Mechanical Engineering, Belgrade, Serbia

Martina Perisic
University of Belgrade - Faculty of Mechanical Engineering, Belgrade, Serbia

Mirjana Misita
University of Belgrade - Faculty of Mechanical Engineering, Belgrade, Serbia

Nemanja Janev
Innovation Center of Faculty of Mechanical Engineering, Belgrade, Serbia

Maintenance is especially crucial when it comes to construction machinery due its capacity to avoid or reduce the risk of serious accidents by recognizing probable failures and downtimes in a timely manner. To properly implement maintenance strategy, it is required to identify the existing linkages between downtime and failures that have already occurred first. This paper aims to analyze and compare data on the length of downtime, as well as the causes of downtime hazard levels on different bridge and gantry cranes. In order to ascertain whether there is a dependency between these two types of cranes, a comparison of the failure duration and hazard level between bridge and gantry cranes is done in this paper. In addition, a comparison of nine different types of bridge and gantry cranes were compared using the same comparation categories. After performing descriptive statistics and the Kolmogorov-Smirnov and Shapiro-Wilk normality tests, which revealed that the data did not follow a normal distribution, a comparison was done using the Mann-Whitney U test and the Kruskal-Wallis tests. All tests revealed no statisticaly significant differences in failure duration and hazard level within the tested categories, which opens up the possibility of applying the same risk management strategies and maintenance procedures regarding both examined crane types.

View article

This research was funded by Ministry of Science, Technological Development and Innovation of the Republic of Serbia under Contract 451-03-47/2023-01/ 200105 dated February 3, 2023 and RESMOD Saf€ra project.

1.      Oke, S. A. (2005). An analytical model for the optimisation of maintenance profitability, International Journal of Productivity and Performance Management, vol. 54, no. 2, 113–136, doi: 10.1108/17410400510576612.

2.      Alsyouf, I. (2007). The role of maintenance in improving companies’ productivity and profitability, International Journal of Production Economics, vol. 105, no. 1, 70–78, doi: 10.1016/j.ijpe.2004.06.057.

3.      Coetzee, J. L. (1999). A holistic approach to the maintenance ‘problem, Journal of Quality in Maintenance Engineering, vol. 5, no. 3, 276–281, doi: 10.1108/13552519910282737.

4.      Brkić, A., Misita, M., Spasojević Brkić, V., Golubović, T., Papić, N., Perišić, M., (2022). Crane stoppages risk assessment, Structural Integrity and Life, vol. 22, no. 3, 339–346.

5.      Onur, Y. A., and Gelen, H. (2020). Investigation on endurance evaluation of a portal crane: experimental, theoretical and finite element analysis, Materials Testing, vol. 62, no. 4, 357–364, doi: 10.3139/120.111491.

6.      Shapira, A., Lucko, G., Schexnayder, C. J.(2007). Cranes for Building Construction Projects, Journal of Construction Engineering and Management, vol. 133, no. 9, 690–700, doi: 10.1061/(ASCE)0733-9364(2007)133:9(690).

7.      Brkić, A., Misita, M., Spasojević-Brkić, V., Perišić, M. (2020). Pareto analysis application in research of crane related accidents, Tehnika, vol. 75, no. 2, 238–244, doi: 10.5937/tehnika2002238B.

8.      Beavers, J. E., Moore, J. R., Rinehart, R., Schriver, W. R. (2006). Crane-Related Fatalities in the Construction Industry, Journal of Construction Engineering and Management, vol. 132, no. 9, 901–910, doi: 10.1061/(ASCE)0733-9364(2006)132:9(901).

9.      Spasojević-Brkić, V., Veljković, Z., Brkić, A., (2015). Crane Cabins’ Safety And Ergonomics Characteristics Evaluation Based On Data Collected In Sweden Port, Journal of Applied Engineering Science, vol. 13, no. 4, doi: 10.5937/jaes13-9564.

10.   Raviv, G., Fishbain, B., Shapira, A. (2017). Analyzing risk factors in crane-related near-miss and accident reports, Safety Science, vol. 91, 192–205, doi: 10.1016/j.ssci.2016.08.022.

11.   Spasojević Brkić, V., Klarin, M., Brkić, A. (2015). Ergonomic design of crane cabin interior: The path to improved safety, Safety Science, vol. 73, 43–51, doi: 10.1016/j.ssci.2014.11.010.

12.   Tomakov, V. I., Tomakov, M. V., Pahomova, E. G., Semicheva, N. E., Bredihina, N. V. (2018). A Study On The Causes And Consequences Of Accidents With Cranes For Lifting And Moving Loads In Industrial Plants And Construction Sites Of The Russian Federation, Journal of Applied Engineering Science, vol. 16, no. 1, doi: 10.5937/jaes16-16478.

13.   Milazzo, M., Ancione, G., Spasojevic Brkic, V., (2015). Safety in crane operations: An overview on crane-related accidents, 6th International Symposium on Industrial Engineering, p. 36–39.

14.   Aneziris O. N. et al., (2008). Towards risk assessment for crane activities, Safety Science, vol. 46, no. 6, 872–884, doi: 10.1016/j.ssci.2007.11.012.

15.   Dhalmahapatra, K., Singh, K., Jain, Y., Maiti, J. (2019). Exploring Causes of Crane Accidents from Incident Reports Using Decision Tree, Information and Communication Technology for Intelligent Systems: Proceedings of ICTIS 2018, p. 175–183. doi: 10.1007/978-981-13-1742-2_18.

16.   Dahalan, M. Z. H. M., Mansor, M. I., Zahri, S., Azmi, W. F. W. M. (2023). Factors Affecting Malaysian Crane Accidents, International Journal of Advanced Civil Engineering and Structures, vol. 3, no. 3.

17.   Yu, G. Y. H. (2017). Forensic investigation on crane accidents, International Journal of Forensic Engineering, vol. 3, no. 4, 319–341, doi: 10.1504/IJFE.2017.087671.

18.   Shapira, A., Elbaz, A.(2014). Tower Crane Cycle Times: Case Study of Remote-Control versus Cab-Control Operation, Journal of Construction Engineering and Management, vol. 140, no. 12, doi: 10.1061/(ASCE)CO.1943-7862.0000904.

19.   Chargui, K., Zouadi, T., El Fallahi, A., Reghioui, M., Aouam, T. (2021). A quay crane productivity predictive model for building accurate quay crane schedules, Supply Chain Forum: An International Journal, vol. 22, no. 2, 136–156, doi: 10.1080/16258312.2020.1831889.

20.   Dondur, N., Spasojević-Brkić, V., Brkić, A. (2012). Crane cabins with integrated visual systems for the detection and interpretation of environment - economic appraisal, Istrazivanja i projektovanja za privredu, vol. 10, no. 4, 191–196, 2012, doi: 10.5937/jaes10-2516.

21.   Kolowrocki, K., Soszynska-Budny, J. (2012). Reliability optimization of complex technical systems and its application to port terminal transportation system, 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, 1039–1045. doi: 10.1109/ICQR2MSE.2012.6246400.

22.   Mohammadi, H., Fazli, Z., Kaleh, H., Azimi, H. R., Moradi Hanifi, S., Shafiee, N., (2021). Risk Analysis and Reliability Assessment of Overhead Cranes Using Fault Tree Analysis Integrated with Markov Chain and Fuzzy Bayesian Networks, Mathematical Problems in Engineering, vol. 2021, doi: 10.1155/2021/6530541.

23.   Montgomery, D. C. (2020). Introduction to Statistical Quality Control. John Wiley & Sons