Evaluation of Maintenance Processes in Manufacturing Companies

Abstract

Digitalization is becoming a crucial factor in enhancing the efficiency of maintenance processes in manufacturing companies. However, many organizations still rely on manual work practices. As a result, problems arise such as the lack of integrated systems, increased likelihood of equipment downtime, and rising operational costs. Redesigning business processes and applying advanced technologies helps minimize disruptions and enables faster and more informed decision-making. Therefore, it is increasingly important to analyze digitalization models and assess their applicability in real operational settings. The aim of this study is to present a digitalization model for maintenance processes in manufacturing companies that would help reduce equipment downtime and improve operational efficiency. To achieve this goal, the following research objectives were formulated: to analyze the types of digitalization models and tools used in manufacturing maintenance processes, to evaluate the implementation potential of a digitalization model through expert assessments and in-depth interviews, and to provide recommendations for improving current maintenance processes based on digitalization principles and empirical findings. The study applied methods such as scientific literature analysis, expert evaluation, in-depth interviews, process analysis, and modeling. The results revealed that standard maintenance processes are largely performed manually, with information transferred verbally or recorded across separate systems, often using Excel spreadsheets or physical logbooks. Such practices increase the risk of errors, slow down information processing, and hinder effective management. The proposed model integrates solutions such as artificial intelligence, Internet of Things (IoT) sensors, and a computerized maintenance management system (CMMS). It is recommended to implement this model gradually, beginning with the most vulnerable process areas such as planning, data recording, and task assignment. A step-by-step transition from the standard to the improved process would enable smoother integration into the company's operations and enhance the efficiency of maintenance processes.