Developing the tool for assessing resiliance and safety climateaspects in the transport and mining companies
Prof. Dr. Ivan Mihajlović |
Abstract: This manuscript is presenting the process of development of the original software application, e.g. the tool, to be used in the process of assessment of the resilience level and the safety climate aspects in the industrial organizations in the transport and mining sector. The initial data that was used to develop the app was collected using the questionnaire in which employees, segmented in five different organizational levels (e.g. transport and mining machines operators, support workers, first line managers, middle level managers and top level managers), were assessing the present state and the importance of each of the investigated safety indicators...
Developing the tool for assessing resiliance and safety climateaspects in the transport and mining companies
Prof. Dr. Ivan Mihajlović |
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Abstract: This manuscript is presenting the process of development of the original software application, e.g. the tool, to be used in the process of assessment of the resilience level and the safety climate aspects in the industrial organizations in the transport and mining sector. The initial data that was used to develop the app was collected using the questionnaire in which employees, segmented in five different organizational levels (e.g. transport and mining machines operators, support workers, first line managers, middle level managers and top level managers), were assessing the present state and the importance of each of the investigated safety indicators. Based on this initial database the starting measurement model was developed that was used to calculate the resilience levels of the organizations, based on adequate MCDA methods and four resilience corners approach. Building up on the starting model, the practical app is being designed that is based on the user-friendly graphical user interface (GUI) in which the respondents can directly rate offered list of safety indicators. Using the app, based on the integrated AI models, ratings of each individual user will be used for additional updating of the database and training of the app, as well as for the comparison with the average values of all previous respondents, that will lead to generation of the practical advices on the operational optimization of the investigated workplaces in the investigated heavy industry sector. Biography: Dr. Ivan Mihajlović, full professor, was born on March 14, 1973 in Zaječar, Serbia. He currently lives in Belgrade, where he is employed at the Faculty of Mechanical Engineering, University of Belgrade, as a full professor in a group of subjects in the field of industrial engineering/engineering management. The subjects that professor Mihajlović teach at Faculty of Mechanical Engineering are: |
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