Implementation of the Mean Time to Failure Indicator in the Control of the Logistical Support of the Operation Process  
[PERSON]  
1 Faculty of Aviation, Polish Air Force University, Dywizionu 303 nr 35, 08-521 Delbim, Poland; [EMAIL_ADDRESS] (G.K.)  
[PERSON]  
2 Air Force of Technology, Kisjeica Boleslawa 6, 01-494 Warsaw, Poland 22 [EMAIL_ADDRESS]. forget the data quality control algorithm [3] and a probabilistic neural network classification model optimized by the improved particle swarm algorithm [4]. Technical facilities are used in every sphere of daily life, but not every user implements appropriate procedures to ensure proper operation. Maintenance or ensuring proper operational concerns in particular sectors is critical, such as those concerning product maintenance or securing the operation of transport and logistics processes. Depending on the particular industry sector, there exist various methodologies to ensure the proper functioning of technical facilities, which are collectively referred to as maintenance. In the industrial manufacturing sector, different maintenance strategies can be distinguished, such as:  
* reactive maintenance, related to the execution of technical services after a defect has occurred;
* preventive maintenance, with planned preventive maintenance [5];
* proactive maintenance, with continuous monitoring of the technical condition and implementation of preventive maintenance [6]. In manufacturing companies, a very strong emphasis is placed on the profitability of production, which results in the adoption of a maintenance model and the organization of the company. Attempts are made to optimize maintenance processes to achieve these goals. As a result of developments in science and technology, methods have been developed such as:  
* Total productive maintenance (TPM), a method for ensuring maximum production efficiency [7];
* Reliability-centered maintenance (RCM), maintenance oriented to functional reliability, i.e., the facility continues to perform its assigned operational functions despite minor failures [8];
* Failure mode and effects analysis (FMEA), analysis of the types and effects of possible failures. This method aims to prevent the effects of defects that may occur in the design phase and the manufacturing phase. Defects are very often identified in the operating process and corrected in the design and manufacturing phases [9]. In transport and, in particular, aviation, the following operating strategies can be distinguished [10]. A life-based strategy consists of regular maintenance activities carried out at predetermined time intervals, regardless of the equipment's technical condition, to prevent future issues and extend its lifespan. A condition-based strategy, however, involves maintenance activities being performed only when the equipment's actual condition requires it, based on knowledge of the technical condition of the equipment and plant components. Similarly, a reliability-based strategy involves making operational decisions based on the results of periodic reliability level checks and an analysis of acceptable reliability indicators to maintain the equipment's reliability at an acceptable level. Finally, a mixed approach blends the mechanisms of the above operational strategies to achieve a balance between cost and performance objectives. Each maintenance strategy comes with its own potential limitations and trade-offs [11]. For example, reactive maintenance may result in equipment downtime and higher costs due to urgent repairs, while preventive maintenance may lead to unnecessary maintenance activities and costs if the equipment does not require it. Additionally, implementing advanced maintenance methods such as TPM and RCM may require significant investments in technology and training, according to [PERSON] et al. [12]. In the transport sector, the life-based strategy may result in excessive maintenance activities if the equipment remains in good condition, while the condition-based strategy may risk equipment failures if monitoring is insufficient.