## 1 Introduction  
The development of the global economy, which has been observed for a while now, is conditioned by technological progress. It creates multiple opportunities, as well as numerous challenges, such as shortening the product's life cycle, reducing costs, and the control and monitoring of design and manufacturing processes, but also recycling, increasing competition, access to dispersed resources, etc. Thus, the accompanying conditions enforce a change in existing habits or business models. The related processes are a part of activities aimed at the implementation of the Industry 4.0 concept [1; 2; 3]. Therefore, one of the important aspects of the fourth industrial revolution is the integration of dispersed resources in order to increase efficiency, reliability, as well as design and production potential. The development of models and frameworks adequate for this concept, and their implementation in the real environment, is possible thanks to the popularization of automationtechnologies, global communication, computerization, but also thanks to the provision of universal standards and mechanisms of cooperation between devices, people, and various companies and organizations. The possibilities related to this can and are used both in standard design and production processes related to conducting research, conducting business activity, and also in difficult and critical conditions of society and economy, such as natural disasters or epidemic diseases. The initial assumptions and initial models for the integration of production resources with the use of ubiquitous communication technologies were developed and presented in the 1990s, and were developed further. They established the foundations for further development of the so-called \"Smart Factory\". An interesting, comprehensive approach relating to the new paradigm for product design and manufacturing via ubiquitous computing technology is presented in this paper [4]. The authors propose a conceptual framework taking into account the entire life cycle of a product, beginning with its design and ending with its recycling. However, these assumptions are very general and only reveal the great potential of the idea of collecting data and information from various sources (suppliers and production equipment). A more detailed approach to this model appeared in [5], in which the authors point out the need to ensure a high level of standardization of communication mechanisms in order to integrate equipment from different manufacturers. This study focused primarily on wireless communication solutions, using, e.g., RFID technology to transmit information. Similarly, in subsequent papers [6; 7], wireless communication systems, such as WiFi, automatic identification sensors, as well as wireless information and GSM were indicated as the basis for implementation of the new manufacturing model. Another aspect of these concepts were ubiquitous production systems and enterprises (UPSE) proposals which were based on two areas: ubiquitous computing systems and virtual and networked enterprises and organizations [8]. Yet others presented the issue of ubiquitous manufacturing from the perspective of customers' access to web services that enable the use of specialized applications and services for monitoring as well as analysis of production equipment operation [9; 10]. These approaches, although focused on the idea of the Smart Factory or Factory of Things, assumed a high level of unification, which was associated with the aspiration to create homogenous environments. Additionally, the presented models and solutions only address the aspect of integration of hardware resources, which, in the contemporary concept of the Internet of Everything, is a major limitation. In the case of developing new products, creating innovative concepts, it is very crucial to provide opportunities for the exchange of views and cooperation between geographically dispersed people. This form of integration of human resources was not included in these models.