<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The article considers several modern scientific papers substantiating the need for assessing workplace safety and focusing on methods applied for the quantitative assessment of working conditions. The analysis found unsolved problems in qualimetry, which could lead to the development of new practical and generally applicable methods to effectively assess working conditions. The analysis proved the relevance of the topic and helped to determine the aim of the article, i.e., the development of a methodology for the quantitative assessment of working conditions in industries, considering harmful production factors. An exponential distribution, which belongs to the theory of extreme statistics, was proposed for the transition of heterogeneous single indicators of harmful factors into a dimensionless scale. Affine transformations were used to combine dissimilar scales, making it possible to divide segments on dissimilar scales into equal proportions. The article proposes a step-by-step method for determining a complex indicator of working conditions in industries. The proposed methodology allows management decisions that minimise the deviation in actual values of harmful factors from the optimal ones. The developed technique was tested at one specific metallurgical production site.</p>
</abstract>

The article considers several modern scientific papers substantiating the need for assessing workplace safety and focusing on methods applied for the quantitative assessment of working conditions. The analysis found unsolved problems in qualimetry, which could lead to the development of new practical and generally applicable methods to effectively assess working conditions. The analysis proved the relevance of the topic and helped to determine the aim of the article, i.e., the development of a methodology for the quantitative assessment of working conditions in industries, considering harmful production factors. An exponential distribution, which belongs to the theory of extreme statistics, was proposed for the transition of heterogeneous single indicators of harmful factors into a dimensionless scale. Affine transformations were used to combine dissimilar scales, making it possible to divide segments on dissimilar scales into equal proportions. The article proposes a step-by-step method for determining a complex indicator of working conditions in industries. The proposed methodology allows management decisions that minimise the deviation in actual values of harmful factors from the optimal ones. The developed technique was tested at one specific metallurgical production site.

Methodology for multi-criteria assessment of working conditions as an object of qualimetry

Engineering Management in Production and Services

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The article considers several modern scientific papers substantiating the need for assessing workplace safety and focusing on methods applied for the...

Methodology for multi-criteria assessment of working conditions as an object of qualimetry

Online veröffentlicht: 05. Juli 2021

Seitenbereich: 107 - 114

Eingereicht: 10. Dez. 2020

Akzeptiert: 30. Apr. 2021

DOI: https://doi.org/10.2478/emj-2021-0016

Schlüsselwörter
methodology for assessment, multi-criteria assessment, workplace safety, qualimetry object, complex indicator quality, management system

© 2021 Roman Trishch et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Methodology for multi-criteria assessment of working conditions as an object of qualimetry

Online veröffentlicht: 05. Juli 2021

Seitenbereich: 107 - 114

Eingereicht: 10. Dez. 2020

Akzeptiert: 30. Apr. 2021

DOI: https://doi.org/10.2478/emj-2021-0016

Schlüsselwörtermethodology for assessment, multi-criteria assessment, workplace safety, qualimetry object, complex indicator quality, management system

© 2021 Roman Trishch et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
methodology for assessment, multi-criteria assessment, workplace safety, qualimetry object, complex indicator quality, management system