The economic feasibility of crane cabins with real-time computer-aided visual guidance system

  • Nikola Dondur Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, Belgrade, Serbia
  • Vesna K Spasojević-Brkić Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, Belgrade, Serbia
  • Aleksandar Brkić Innovation Center, Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, Serbia
  • Martina Perišić Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, Belgrade, Serbia
Keywords: crane cabins, visual guidance system, economic appraisal, safety

Abstract


Cranes’ operations are extremely risky and hazardous tasks, as demonstrated in various surveys in the field of incidents’ causes and effects. The most frequent cause of unsafe crane operation task execution is human error. Accordingly, innovation which enables cranes’ safe operations, prevents “blind lifts” and helps crane operator to avoid potential error is urgent. Project SPRINCE has proposed computer-aided Visual Guidance System as a real time solution aimed to prevent crane accidents, caused by obstructed view. This paper analyses the economic feasibility of Visual Guidance System application in various scenarios in aim to connect human, technology and organization issues through cost-benefit framework. There are two proposed investment scenarios analysed: A) Producing and selling of crane cabins with real-time computer-aided Visual Guidance System and B) Usage (purchase) of crane cabins with real-time computer-aided Visual Guidance System. The economic appraisal has proved that the total economic benefit in both scenarios in the complete utilization period is several times higher than the buying price, while the internal rate of return is few times higher than the aggregate rate of interest paid. Also, the amount of time which takes to recover the cost of an investment is less than four years. Moreover, both scenarios belong to the category of innovation projects with very low risk.

Author Biography

Vesna K Spasojević-Brkić, Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, Belgrade, Serbia

Prof. dr Vesna Spasojević-Brkić, Katedra za Industrijsko inženjerstvo, Mašinski fakultet Univerziteta u Beogradu

References

Ancione, G., Kavasidis, I., Merlino, G., & Milazzo, M. F. (2017). Real-time guidance system for cranes to manage risks due to releases of hazardous materials. in L. Walls, M. Revie, T. Bedford Risk, Reliability and Safety: Innovating Theory and Practice. London, UK: Taylor and Francis Group, 742-749.

Ansaldi, S.M., Agnello, P., & Bragatto, P.A. (2018). Smart safety systems: Are they ready to control the hazard of major accidents? WIT Transactions on the Built Environment, 174, 169-180.

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, 132 (9), 901-910.

Chu, X.N., & Thi, H. D. (2018). Determination of the Hazard Area of Crane and Hurdle-using Method for Accident Prevention. International Journal of Applied Engineering Research, 13 (9), 6717-6722.

Curry, S. & Weiss, J. (2000). Project Analysis in Developing Countries. London, UK: MacMillan Press.

Dondur, N. (2002). Economic analysis of projects. Belgrade, RS: Faculty of Mechanical Engineering (In Serbian)

European agency for Safety and Health at work (2013): EU-OSHA Multi-Annual Strategic Programme (MSP) 2014-2020.

Fabiano, B. & Currò, F. (2012). From a survey on accidents in the downstream oil industry to the development of a detailed near-miss reporting system. Process Safety and Environmental Protection, 90 (5), 357-367.

Fang, Y., Chen, J., Cho, Y. K., Kim, K., Zhang, S., & Perez, E. (2018). Vision-based load sway monitoring to improve crane safety in blind lifts. Journal of Structural Integrity and Maintenance, 3 (4), 233-242.

Marhavilas, P.K., Koulouriotis, D., & Gemeni, V. (2011). Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009. Journal of Loss Prevention in the Process Industries, 24 (5), 477-523.

Milazzo, M.F., Ancione, G., Brkic, V.S., & Vališ, D. (2016). Investigation of crane operation safety by analysing main accident causes. Pp. 74-80 in L. Walls, M. Revie, T. Bedford, Risk, Reliability and Safety: Innovating Theory and Practice. London, UK: Taylor and Francis Group

Neitzel, R.L., Seixas, N.S., & Ren, K.K. (2001). A review of crane safety in the construction industry. Applied Occupational and Environmental Hygiene, 16 (12), 1106-1117.

Pinto, A., Nunes, I.L., & Ribeiro, R.A. (2011). Occupational risk assessment in construction industry–Overview and reflection. Safety Science, 49 (5), 616-624.

Poh, C.Q., Ubeynarayana, C.U., & Goh, Y.M. (2018). Safety leading indicators for construction sites: A machine learning approach. Automation in construction, 93, 375-386.

Puška, A., Beganović, A., & Šadić, S. (2018). Model for investment decision making by applying the multi-criteria analysis method. Serbian Journal of Management, 13 (1), 7-28.

Rosenfeld, Y., & Shapira, A. (1998). Automation of existing tower cranes: economic and technological feasibility, Automation in Construction, 7, 285-298.

Shin, I.J. (2015). Factors that affect safety of tower crane installation/dismantling in construction industry. Safety Science, 72, 379-390.

Skogdalen, J.E., & Vinnem, J.E. (2011). Quantitative risk analysis offshore - Human and organizational factors. Reliability Engineering & System Safety, 96 (4), 468-479.

Spasojević Brkić, V., Klarin, M.M., & Brkić, A.D. (2015a). Ergonomic design of crane cabin interior: The path to improved safety. Safety Science, 73, 43-51.

Published
2020/04/15
Section
Original Scientific Paper