Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes12-5409
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License

Volume 12 article 289 pages: 159 - 164

Vesna Spasojevic-Brkic
University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia

Tamara Golubovic
University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia

Dragan D. Milanovic
University of Belgrade, Faculty of Mechanical Engineering, Belgrade, Serbia

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

Purpose of this paper is application of method based on multivariate statistical technique in order to determine critical dimensions of the crane cabin, which would maximize adjustability and ergonomics of the product, resulting in accommodation of wider range of the population and greater safety while operating. Multivariate statistical technique used for this purpose is factor analysis. Results of this research, conducted on a sample consisted of 83 crane cabin operators, showed that while designing a working space critical anthropomeasures take three-dimensional space, while theirinfluence contributions in each dimension are determined with factor analysis. Results of this work are expected to be useful for industry in a way such that crane cabins' designers can troubleshoot the dilemmas they encounter in their job. Using findings of this survey might lead to new designs of cabins that will offer less strenuous postures of operator, which consequently will improve productivity and safety.

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This work is supported by a grant from the Eu- reka E!6761 project.

Bittner, A. C., Glenn, F. A. & Harris, R. M., Lavecchia, H. P. & Wherry, R. J. (1987). CADRE: A family of manikins for workstation design. In: S. S. Ashfour (ed.), Trends in ergonomics/human factors IV , 733-740.

Bovenzi, M., Pinto, I., & Stacchini, N. (2002). Low back pain in port machinery operators. Journal of sound and vibration, 253 (1), 3-20.

Dondur, N., Spasojevic-Brkic, V., &Brkic, A. (2012). Crane cabins with integrated visual systems for the detection and interpretation of environment-economic appraisal. Jour-nal of Applied Engineering Science, 10(4), 191-196.

Gordon, C. C., Brian D. C., & Brantley J.D. (1997). Defining Extreme Sizes and Shapes for Body Armor and Load-Bearing Systems Design: Multivariate Analysis of US Army Torso Dimensions. U.S. Army Soldier Systems Command Natick Research, Development And Engineering Center. Natick, Massachusetts 01760-5000.

Gorsuch, R. L. (1997). Exploratory factor analysis: Its role in item analysis. Journal of personality assessment, 68(3), 532-560.

Hair, J. F. (2011). Multivariate Data Analysis: An Overview. In International Encyclopedia of Statistical Science (pp. 904-907).Springer Berlin Heidelberg.

Hsiao, H., &Keyserling, W. M. (1990).A threedimensional ultrasonic system for posture measurement.Ergonomics, 33, 1089- 1114.

Kittusamy, N. K. (2003). A checklist for evaluating cab design of construction equipment. Applied Occupational and Environmental Hygiene, 18(10), 721-723.

Milanovic, D. D., Klarin, M., Misita, M., Milanovic, D. L., & Zunjic, A. (2009).Identification of invariant factors that determine labour output on the production line. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223(12), 1615-1623. 

Nordin F. and Olsson S., 2008. Development of driver environment in crane cabin, Master's thesis, Lulea University of technology.

Ray, P.K., and Tewari V. K. (2012). Ergonomic design of crane cabins: a case study from a steel plant in India. Work: A Journal of Prevention, Assessment and Rehabilitation 41, 5972-5976. 

Zehner, G. F., Meindl, R. S., & Hudson, J. A. (1993).A multivariate anthropometric method for crew station design.Kent State Univ Oh.