Purpose: The purpose of the article is to make a detailed characterization of the cybernetic system of man-machine-environment in the context of maintaining occupational health and safety. Design/methodology/approach: Data for the study was collected using participant observation. Subsequently, any information obtained is presented in this paper as a case study. Findings: The results of the study indicate that occupational health and safety management in the era of building society 5.0 is highly dependent on the proper cooperation of man and machine in a turbulent work environment. Research limitations/implications: The survey is limited to employees of one manufacturing company. Therefore, it would be extremely valuable to observe whether work safety in other companies also depends primarily on the proper preparation of workers to work with machinery. Practical implications: The study provides guidance for human resource management to implement effective practices to enhance employee safety in the era of building society 5.0. Social implications: This study offers support to the employees of a manufacturing company, providing insight into how the work environment can be improved, thereby increasing health and safety. Originality/value: This is a study that aims to provide insight into how, in the era of building a 5.0 society, it is important to take care to prepare the employee to be a designer of a safe work environment in which people and machines work together to achieve the best work result.
W niniejszym artykule skupiono się na przedstawieniu istoty projektów logistycznych oraz ukazaniu metod i narzędzi zarządzania ryzykiem. Celem głównym artykułu jest natomiast zaprezentowanie sposobów identyfikacji i oceny ryzyka projektów logistycznych z wykorzystaniem podstaw logiki rozmytej.
EN
This article focuses on the presentation of the logistics projects and release methods and risk management tools. The main objective of this article is to present ways which identify risk and assessment of logistics projects with using fuzzy logic.
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