607 KB0 KB201420262021Nowakowska, M.Pajęcki, M.letnik:16številka:4str. 485-499DOI:10.14743/apem2021.4.415ISSN:1854-6250COBISSID_HOST:270961411URN:URN:NBN:SI:doc-QFAFJ8RTenFakulteta za strojništvo, Inštitut za proizvodno strojništvoAdvances in production engineering and managementaccident profiles identificationanaliza grozdovanaliza latentnega razredacluster analysisidentifikacija profilov nesrečizbira modelalatent class analysis (LCA)manufacturing industrymodel selectionmodeliranjemodellingnesreče pri deluoccupational accidentspredelovalna industrijaLatent class analysis for identification of occupational accident casualty profiles in the selected Polish manufacturing sector|The objective of the analysis is identifying profiles of occupational accident casualties as regards production companies to provide the necessary knowledge to facilitate the preparation and management of a safe work environment. Qualitative data characterizing employees injured in accidents registered in Polish wood processing plants over a period of 10 years were the subject of the research. The latent class analysis (LCA) method was employed in the investigation. This statistical modelling technique, based on the values of selected indicators (observed variables) divides the data set into separate groups, called latent classes, which enable the definition of patterns. A procedure which supports the decision as regards the number of classes was presented. The procedure considers the quality of the LCA model and the distinguishability of the classes. Moreover, a method of assessing the importance of indicators in the patterns description was proposed. Seven latent classes were obtained and illustrated by the heat map, which enabled the profiles identification. They were labelled as follows: very serious, serious, moderate, minor (three latent classes), slight. Some recommendations were made regarding the circumstances of occupational accidents with the most severe consequences for the casualtiesTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Fakulteta za strojništvo