Implementing Industry 4.0 and interconnected robotization in industrial enterprises drifts towards occupational changes. Nowadays, the task is to create cooperation and collaboration between a robot and a human in a common robotized workplace so that it is safe and effective. The type of robot, the robotic device that works in collaboration with a human operator, is called a cobot. In the case of a closer interaction of the robot or cobot with humans, it is necessary to consider where it is possible to replace human work entirely or where it is possible to merely supplement it. The most socially acceptable option is the implementation of robots only for the performance of supplementary tasks, since the traditional work positions of people in manufacturing processes would remain largely preserved. On the other hand, workplace robotization is particularly suitable for work environments with hazardous chemical substances that are carcinogenic and toxic to humans. Similarly, robotization helps to improve workplace ergonomics and also to avoid, for humans, very laborious and often repetitive work. The SWOT analysis (analysis of Strengths, Weaknesses, Opportunities, and Threats) was used as a relevant tool to assess various aspects of the impact of increasing robotization on working positions in industrial enterprises. SWOT analysis is an indicative assessment of the suitability of implementation of robots in a given workplace, which helps to create an optimal solution and indicate new areas of needed analysis and research directions.

Many organizations around the world recognize the complementarity of public and environmental health and focus their attention on the effective management of both health and environmental risks. For this purpose, they often use the international standards ISO 14001 and ISO 45001. However, when a company intends to implement multiple standards simultaneously, the challenge of overlapping increases. Therefore, the objective of article is to analyze the requirements and documented information of two management system standards: environmental management systems (EMS), according to ISO 14001, and occupational health and safety management systems (OH&S), according to ISO 45001. A combination of content analysis and clustering methods was used to conduct the research. Visualization of the interrelationships between the requirements of the standards was done using TouchGraph Navigator. The outputs of the analysis can serve managers in the integrated implementation of these management systems as well as auditors during the review and check process when formulating recommendations for the improvement of management systems. Integrated implementation comes with multiple benefits, including reduced bureaucracy and management costs, a simplified certification process, improved internal management, and facilitation of continuous improvement.

With a growing number of standards and their related requirements for manufacturers and/or service providers, there is a need to simplify their application process. The aim of this article is to propose a simplified implementation of multiple management system standards (MSSs) through visualization management. Results of visualization provide a perspective of interrelatedness of requirements of MSSs, and how they fit in the overall context. The three standards used in this project, defined as a complex triplet of integrated management systems (IMSs), are: Quality (QMS), Environment (EMS) and Event Sustainability (ESMS) Management Standards. Visualization is developed by creating clusters using a program intended for creating small world networks. This step is preceded by the creation of a database in a spreadsheet format for data mining, where the requirements are divided into specific and common ones. The main emphasis will be on facilitating the assessment of synergies. The resulting visualized composed cluster model of selected areas includes the clauses. It is possible to further extend the model by adding other standards, depending on needs of interested parties. In essence, the model is a part of visual process, and it simplifies, speeds up and clarifies managerial decision-making processes related to the implementation of the MSSs.