Version 1
: Received: 14 March 2024 / Approved: 14 March 2024 / Online: 14 March 2024 (15:49:19 CET)
How to cite:
Pačaiová, H.; Turisová, R.; Glatz, J.; Onofrejová, D. Sustainability Assessment of Machinery Safety in a Manufacturing Organisation – Supporting Machinery Safety Decision Making with AHP and CART Methods. Preprints2024, 2024030868. https://doi.org/10.20944/preprints202403.0868.v1
Pačaiová, H.; Turisová, R.; Glatz, J.; Onofrejová, D. Sustainability Assessment of Machinery Safety in a Manufacturing Organisation – Supporting Machinery Safety Decision Making with AHP and CART Methods. Preprints 2024, 2024030868. https://doi.org/10.20944/preprints202403.0868.v1
Pačaiová, H.; Turisová, R.; Glatz, J.; Onofrejová, D. Sustainability Assessment of Machinery Safety in a Manufacturing Organisation – Supporting Machinery Safety Decision Making with AHP and CART Methods. Preprints2024, 2024030868. https://doi.org/10.20944/preprints202403.0868.v1
APA Style
Pačaiová, H., Turisová, R., Glatz, J., & Onofrejová, D. (2024). Sustainability Assessment of Machinery Safety in a Manufacturing Organisation – Supporting Machinery Safety Decision Making with AHP and CART Methods. Preprints. https://doi.org/10.20944/preprints202403.0868.v1
Chicago/Turabian Style
Pačaiová, H., Juraj Glatz and Daniela Onofrejová. 2024 "Sustainability Assessment of Machinery Safety in a Manufacturing Organisation – Supporting Machinery Safety Decision Making with AHP and CART Methods" Preprints. https://doi.org/10.20944/preprints202403.0868.v1
Abstract
Machine safety is not only a prerequisite for successful production, but also the foundation for sustainability and growth of any manufacturing organisation. The latest approaches in this rapidly developing field are the integration of effective risk management tools and strategies into occupational health and safety (OHS) systems. In this article, using a specific example from practice, we will show how using multi-criteria decision making (AHP) support Machinery Safety Decision Making (MSDM) from the point of reducing losses. Using Classification and Regression Tree Analysis (CART), we estimated the efficiency, cost-effectiveness and thus the sustainability level of the relevant safety measures. These were proposed risk reduction measures that typically raised uncertainty among managers regarding the estimation of cost-effectiveness. The advantage of application decision trees approach is possibility to identify and establish relatively homogeneous groups of undesirable events and their impact on the organisation's objectives. A comprehensive model has been developed to support management decision making in manufacturing organizations in implementing and improving safety measures in line with manufacturing sustainability goals.
Keywords
machinery safety; multicriteria decision making; AHP; classification and regression trees; CART; safety sustainability; machinery safety decision making
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
