WORK SAFETY SELF-ASSESSMENT. APPLICATION, WORK LOAD

Author:

,Bejinariu Costica,Darabont Doru-Costin, ,Cioca Lucian-Ionel,

Abstract

The occupational safety self-assessment system for small and medium-sized enterprises (SMEs) is a powerful tool, through which SMEs or departments of a large enterprise can decide where and how occupational safety and health activity should be improved through concrete proposals and prioritization. In the paper we deal with the self-assessment of the independent component of the work system, namely the work load, at the Metal Casting Laboratory within the Faculty of Materials Science and Engineering of the "Gheorghe Asachi" Technical University in Iași. The aim is both to achieve the qualitative assessment through the Weaknesses - Strengths table, as well as to achieve the quantitative assessment by obtaining that Score that leads us to a qualification corresponding to the value of the score. These evaluations, qualitative and quantitative, lead us to adopt measures to improve or maintain work security at a level close to the level of safety for which the company or department was designed.

Publisher

Academia Oamenilor de Stiinta din Romania

Reference14 articles.

1.     [1]      Darabont A, Kovacs S, Darabont DC. Guidelines for occupational safety self-assessment for SMEs, INCDPM, Bucureşti, Romania, 1997.

2.     [2]      Bejinariu C, Darabont DC, Baciu ER, Ionita I, Bernevig-Sava MA, Baciu C. Considerations on the Method for Self-Assessment of Safety at Work, Environmental Engineering and Management Journal, Iasi, vol. 16, no 6, pp. 293-298, 2017, WOS:000409071500022, ISSN: 1582-9596.

3.     [3]      Darabont A, Tanase N. Guidelines for assessment of the occupational safety level, INCDPM, Bucureşti, Romania, 1997.

4.     [4]      Bejinariu C, Darabont DC, Baciu ER, Georgescu IS, Bernevig-Sava MA, Baciu C. Considerations on Applying the Method for Assessing the Level of Safety at Work, Sustainability, Basel, Switzerland, 2017, 9, 1263, doi:10.3390/su9071263. 2017, WOS:000406709500190, ISSN: 2071-1050.

5.     [5]      Pece S. Risk assessment in the human-machine system, Atlas Press Publishing House, Bucureşti, Romania, 2003.

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