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ROLE OF BIM PROCESS PARTICIPANTS WITHIN MANAGING KNOWLEDGE IN BIM DATA MODEL

Vladimír Nývlt

First published: 2018-06-20https://doi.org/10.5593/sgem2018/5.3/s28.091View metrics

Abstract

The main aim of our paper is to analyze and make proposals on the effective management of individual items that have a significant impact on elimination of industrial risks. Attention is paid to the issue of management of industrial risks in the industrial enterprises in Slovakia. To obtain the necessary data, we draw information from internal materials of enterprises. For management, it is important to know what risks it could negatively affect them. Identification, quantification of impacts and subsequent proposals to reduce the steps of analysis to help enterprises to improve their status and to the implementation of important decisions. This paper focuses on the identification of risks, assess their severity, and determine their impact and subsequent establishment of corrective action to ensure the prevention of the impacts. For the actual analysis, we used the FMEA method, scoring method was created. The paper presents the results of the risk analysis carried out the industrial enterprises and factors that these risks are affected the most. They were subsequently developed proposals to reduce selected risks that were assessed with the highest risk. We evaluated risk factors, the probability and their significance.

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Publication details

Title
ROLE OF BIM PROCESS PARTICIPANTS WITHIN MANAGING KNOWLEDGE IN BIM DATA MODEL
Authors
Vladimír Nývlt
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2018
Pages
711-718
SWS Citekey
Nyvlt201821711718
ISSN
1314-2704
ISBN
978-619-7408-48-5
Language
en
Publication type
Conference Paper
Keywords
References4
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  3. Sanchez J.I., Levine, E.I., What is (or should be) the difference between competency modeling and traditional job analysis? In: Human Resource Management Review 19 (2) 53-63, 2009

  4. Tversky, B., Hemenway, K. Objects, parts, and categories. In: Journal of Experimental Psychology: General, Vol 113(2), Jun 1984, 1984, pp. 169-193.

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Number of times cited according to Crossref: 4

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