The main motive for the integration of management systems should be to increase production efficiency by reducing losses due to overlapping resources of individual management systems running in parallel. In addition, by integrating, organisations can ensure the definition of unambiguous responsibilities and prevent problems at process interfaces as well as conflicting goals of individual management systems. The integration of management systems into one comprehensive and the implementation of an integrated system into the overall management of the organization would help to more effectively manage the risks associated with their business processes, resources and thus ensure prevention of these risks.
The article describes the analysis of a work operation on a virtual model of a production workplace. In order for the virtual workplace to correspond to reality as much as possible, 3D scanning was used to create a digital model of the part that the worker is manipulating. Tecnomatix Jack software was used to create a virtual workplace model and simulate worker movements. The operation was analyzed by four different methods, namely RULA analysis, OWAS analysis, Comfort Assessment analysis and Lower Back analysis. The results of all analyzes for the same task show that the job is not properly designed and it is necessary to propose workplace changes to eliminate the identified problems.
Through shared accommodation, the shared economy occupies a full position in many economies of the world and the extent of its influence can be expressed in various ways. In addition, the price of accommodation appears to be a sufficiently objective, measurable, and comparable element with other statistical tools of the economic environment. In the article, we use statistical methods of correlation and regression analysis to express the relationships between the dependent variable in the form of the price of shared accommodation in Slovakia and the number of visitors, which thus represent a separate variable. The results are expressed numerically and graphically.
The shared economy occupies through shared accommodation a full-featured position in many economies of the world and the extent of its impact can be expressed in various ways. In addition, the price of accommodation appears to be a sufficiently objective, measurable, and comparable element to other statistical instruments of the economic environment. In the article, we use statistical methods of correlation and regression analysis to express the relationships between the dependent variable in the form of the price of shared accommodation in European Union countries and other economic indicators of the macroenvironment and the tourism industry, which thus represent an independent variable. The results signal that shared accommodation prices shows a higher degree of correlation with other indicators of the tourism sector than with other macroeconomic indicators in individual countries.
Key words: Shared Economy. Shared Accommodation Prices, Airbnb, Regression and Correlation
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.