One of the key indicators of the future for enterprise productivity growth is Industry 4.0 and the implementation of its elements. To achieve this goal, custom manufacturing is specific as one of the types of production. The proposed solutions of the master thesis deal with the issue of methods for increasing productivity in the custom manufacturing of the engineering company, which are applicable also in the companies, where production is realized according to the customer requirements. The theoretical part focuses on the Industry 4.0 concept, the description of the digital enterprise of the future, the comprehensively estimated savings after the introduction of Industry 4.0 elements and the basic management tools. In the practical part, data flows in the production process are designed and identified with the aim to optimize and distribute these data for the feedback in the production process. Standardization and harmonization of programs on CNC machines is another important topic of my master thesis. For evaluating the performance and quality of CNC machine production process, methods and statistical reports by introducing OEE and by visualization in the production facilities of the company have been used. Monitoring the capacity utilization and performance of CNC machines is one of the indicators to increase productivity in production. In the work, innovative changes in custom manufacturing are defined and implemented as a creation of basis for the use of Industry 4.0 elements. The aim of the master thesis was to realize to increase the efficiency and to improve the KPI indicators of the custom production types by implementation of used methods.