# Improving the Production Efficiency Based on Algorithmization of the Planning Process
## 2 Theoretical Background
However, in [12] found that standardization to an excessive extent can lead to errors and breaches of work safety. In contrast, [10] define standardization as part of the \"meta\" process of continuous improvement in an organization. However, the principle of standardization, thus the permanent integration of the successfully evaluated changes into the process, is the principle of most improvement methods [13]. The process is based on the concept of continuous improvement, ensuring communication and information flow between the teams and the individuals who are involved in specific projects to improve production processes. This is part of the Six Sigma DMAIC cycle (Define-Measure-Analyze-Improve-Control), which is crucial for the Control phase, where newly introduced processes are gradually documented, the staff is trained, and outputs monitoring plans are set. The aim is to accept the new process as a recognized standard and the basis of generally widespread production [14]. Lean is a set of tools that are important for the identification and subsequent permanent disposal of waste. With the increasing elimination of waste, the quality of production is improving, while production costs and time are constantly decreasing. Typical examples of these tools are 5S, Kanban, and Poke-Yoke. Lean production also focuses on improving production flow, from which the flow of work directly derives, while permanently eliminating inequality through the system. Techniques that address process flow include balancing production in the presence of Kanban [15]. Article [16] deals with the theoretical and practical implementation of preventive maintenance based on a unique modification of the total productive maintenance (TPM) methodology. The innovative approach of preventive maintenance management was implemented in the real production hall of ITT (Czech Republic) and has been verified. Methodology TPM (Total Productive Maintenance) is a managerial and technical approach to maintenance and equipment management in a manufacturing environment. The goal of the TPM methodology is to maximize the performance of equipment, minimize breakdowns, losses, and failures, thus improving overall production efficiency. TPM focuses on involving the entire team, including operators, maintenance personnel, and managers, in the equipment maintenance process to achieve high levels of reliability, availability, and machine performance. The TPM methodology is based on several key principles and pillars. Overall, TPM aims to achieve the highest reliability and performance of equipment, which ultimately contributes to the overall efficiency of the manufacturing process. More details of Industry 4.0 and TPM problems are described in [17; 18]. The TPM methodology is widely used in practice as evidenced by the following publications [19; 20; 21; 22; 23; 24]. Each of the above works operate with the classic TPM methodology, but our approach has adjusted the individual parameters of the methodology and completely new ones have been delivered, thus creating a unique methodology that can be used in industry. Our algorithm enhances the efficiency of the production process, hence it falls within the scope of TPM (Total Productive Maintenance). Special algorithms like using intelligent expert systems [25] is a necessity for improving the situation of organizations. Since the process of identifying strategy in a strategic plan is time-consuming and costly, the role of expert systems in strategic planning is considerable. An automated planning system introduction at several instrument-making enterprises was presented in [26].