Modern technical environments require a high degree of reliability both in machinery and in equipment. Technological progress has, on the one hand, increased this efficiency but on the other hand, it has changed the way in which this equipment and these machines have traditionally been maintained. The authors have set the following assumptions. In order to survive in the market and develop, modern production enterprises realize the assumptions of Industry 4.0, wherein the optimization of maintenance processes is important because of the financial situation. This includes the profits made by the production company and differs from traditional maintenance, by shifting towards new trends such as predictive maintenance; as such, it is crucial for the development of the company. The article is devoted to the most modern predictive maintenance strategy, in the maintenance department of a manufacturing company. The publication describes the meaning of the method, its potential and the theory of action.

Building teams has a fundamental impact for execution of research and development projects. The teams appointed for the needs of given projects are based on individuals from both inside and outside of the organization. Knowledge is not only a product available on the market but also an intangible resource affecting their internal and external processes. Thus it is vitally important for businesses and scientific research facilities to effectively manage knowledge within project teams. The article presents a proposal to use Fuzzy AHP (Analytic Hierarchy Process ) and ANFIS (Adaptive Neuro Fuzzy Inference System) methods in working groups building for R&D projects on the basis of employees skills.

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The selection of an effective team of employees is crucial to proper management of the company. The success of the project often depends on the competencies of employees who carry out those projects. Therefore, the selection of the workers, whose competences complement each other in terms of subject matter, in terms of personality, and also in practical terms, is very important. This article presents the proposal of applying the FAHP (fuzzy analytic hierarchy process) and TOPSIS (technique for order preference by similarity to an ideal solution) methods as a tool to facilitate the management of human resources in the metal production factories based on the skills of employees.Keywords: FAHP, TOPSIS, metal industry, selection of employees, competences, fuzzy analytic hierarchy process, technique for order preference by similarity to an ideal solution.