Affiliations: [a]
Department of Industrial Engineering, Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia
| [b]
Innovation Center, Faculty of Mechanical Engineering, Belgrade, Serbia
| [c]
Department of Motor Vehicles, Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia
Correspondence:
[*]
Address for correspondence: Vesna K. Spasojević Brkić, Department of Industrial Engineering, University of Belgrade, Faculty of Mechanical Engineering, Kraljice Marije 16, Belgrade, Serbia. Tel.: +381 113370318; E-mail: vspasojevic@mas.bg.ac.rs.
Abstract: BACKGROUND:Previous research has shown that today’s crane cabins fail to meet the needs of a large proportion of operators. Performance and financial losses and effects on safety should not be overlooked as well. OBJECTIVE:The first aim of this survey is to model the crane cabin interior space using up-to-date crane operator anthropometric data and to compare the multivariate and univariate method anthropometric models. The second aim of the paper is to define the crane cabin interior space dimensions that enable anthropometric convenience. METHODS:To facilitate the cabin design, the anthropometric dimensions of 64 crane operators in the first sample and 19 more in the second sample were collected in Serbia. The multivariate anthropometric models, spanning 95% of the population on the basis of a set of 8 anthropometric dimensions, have been developed. The percentile method was also used on the same set of data. RESULTS:The dimensions of the interior space, necessary for the accommodation of the crane operator, are 1174×1080×1865 mm. The percentiles results for the 5th and 95th model are within the obtained dimensions. CONCLUSIONS:The results of this study may prove useful to crane cabin designers in eliminating anthropometric inconsistencies and improving the health of operators, but can also aid in improving the safety, performance and financial results of the companies where crane cabins operate.
Keywords: Crane operator, principal components analysis, percentiles
