Abstract:

Enterprises in the information age are characterized by an integrated approach to managing qualitatively diverse components, such as: technical organization structure, work items, raw materials and semi-finished products, people, databases, etc. Therefore, in order to minimize the risk of management decisions in which the dynamics of significant accompanying phenomena are taken into account, a process approach and modeling of the production process are required. As a result, in assessing the achievement of the company's goals, it is required to use appropriate indicators and measures that will combine economic criteria with key performance indicators appropriate for the organization. Such indicators include rates of accidents at work, employee turnover rates, employee energy expenditure indicators, machine fitness
indicators, etc. As can be noticed, the basis for the development of industry 4.0 is modeling the relationships that occur between planned tasks and the closer and distant environment. Understanding the interplay between elements of the production process is the basis for designing feedback. Thanks to them the process variables are regulated due to the accompanying phenomena in the area of work planning, implementation of work tasks, operation of technological devices, in the field of security engineering as well as IT systems and Others. That’s why, it should be assumed that various categories of resources are equally important for the organization, expressed by technological variables, by the parameters of the employee's functioning and parameters of use of technical facilities, as well as by variables of communication processes. Man and his reliability have a great impact on the process. The multi-faceted description of industrial processes makes it possible to identify critical points in relation to all important enterprise resources. It allows to understand the sources of organizational deficits, but importantly it is the basis for designing regulatory mechanisms and implementing industry 4.0 principles, including: interoperability, visualization, decentralization understood as the ability of subsystems to operate autonomously, real-time attribute, orientation on services and modality.