The approach to optimization of the structure of the repair process of aviation radio equipment
The Operation System (OS) of Aviation Radio Equipment (ARE) includes such elements as equipment, organizational structure, processes, documentation, personnel, measuring equipment, consumables and information resources, and others. When considering the problems of primary design and modernization o...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2025-06-01
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| Series: | Transport |
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| Online Access: | https://journals.vilniustech.lt/index.php/Transport/article/view/24012 |
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| author | Maksym Zaliskyi Viktoriia Ivannikova Oleksandr Solomentsev Ivan Ostroumov Nataliia Kuzmenko |
| author_facet | Maksym Zaliskyi Viktoriia Ivannikova Oleksandr Solomentsev Ivan Ostroumov Nataliia Kuzmenko |
| author_sort | Maksym Zaliskyi |
| collection | DOAJ |
| description |
The Operation System (OS) of Aviation Radio Equipment (ARE) includes such elements as equipment, organizational structure, processes, documentation, personnel, measuring equipment, consumables and information resources, and others. When considering the problems of primary design and modernization of OSs, a large number of problems arise that can be solved with the help of intelligent decision support systems. During the operation of ARE, significant material resources are consumed, the amount of which is usually random. Therefore, during design, one of the main tasks is to ensure the minimum costs. This article considers the task of cost optimization within the organizational structure of the repair process. At the same time, the article provides analytical equations that allow to calculate and estimate operational costs for a given organizational structure, tariffs for repair and delivery of equipment components, and failure flow parameters. Attention is also paid to the task of rationalizing the organizational structure of the repair process, taking into account the efficiency of the decision-making procedures depending on the failure type (simple or complex). In addition, the article considers an example of several scenarios for the possible placement of repair enterprises in the airports of Ukraine during the post-war reconstruction period.
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| format | Article |
| id | doaj-art-ac104f00f5b34408abdc20e07df2f240 |
| institution | Kabale University |
| issn | 1648-4142 1648-3480 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Transport |
| spelling | doaj-art-ac104f00f5b34408abdc20e07df2f2402025-08-20T03:26:43ZengVilnius Gediminas Technical UniversityTransport1648-41421648-34802025-06-0140110.3846/transport.2025.24012The approach to optimization of the structure of the repair process of aviation radio equipmentMaksym Zaliskyi0Viktoriia Ivannikova1Oleksandr Solomentsev2Ivan Ostroumov3Nataliia Kuzmenko4Dept of Telecommunication and Radio Electronic Systems, National Aviation University, Kyiv, UkraineBusiness School, Dublin City University, Dublin, IrelandDept of Telecommunication and Radio Electronic Systems, National Aviation University, Kyiv, UkraineDept of Air Navigation Systems, National Aviation University, Kyiv, UkraineDept of Air Navigation Systems, National Aviation University, Kyiv, Ukraine The Operation System (OS) of Aviation Radio Equipment (ARE) includes such elements as equipment, organizational structure, processes, documentation, personnel, measuring equipment, consumables and information resources, and others. When considering the problems of primary design and modernization of OSs, a large number of problems arise that can be solved with the help of intelligent decision support systems. During the operation of ARE, significant material resources are consumed, the amount of which is usually random. Therefore, during design, one of the main tasks is to ensure the minimum costs. This article considers the task of cost optimization within the organizational structure of the repair process. At the same time, the article provides analytical equations that allow to calculate and estimate operational costs for a given organizational structure, tariffs for repair and delivery of equipment components, and failure flow parameters. Attention is also paid to the task of rationalizing the organizational structure of the repair process, taking into account the efficiency of the decision-making procedures depending on the failure type (simple or complex). In addition, the article considers an example of several scenarios for the possible placement of repair enterprises in the airports of Ukraine during the post-war reconstruction period. https://journals.vilniustech.lt/index.php/Transport/article/view/24012operational cost optimizationorganizational structureairport planningintelligent systemsaviation radio equipmentoperation |
| spellingShingle | Maksym Zaliskyi Viktoriia Ivannikova Oleksandr Solomentsev Ivan Ostroumov Nataliia Kuzmenko The approach to optimization of the structure of the repair process of aviation radio equipment Transport operational cost optimization organizational structure airport planning intelligent systems aviation radio equipment operation |
| title | The approach to optimization of the structure of the repair process of aviation radio equipment |
| title_full | The approach to optimization of the structure of the repair process of aviation radio equipment |
| title_fullStr | The approach to optimization of the structure of the repair process of aviation radio equipment |
| title_full_unstemmed | The approach to optimization of the structure of the repair process of aviation radio equipment |
| title_short | The approach to optimization of the structure of the repair process of aviation radio equipment |
| title_sort | approach to optimization of the structure of the repair process of aviation radio equipment |
| topic | operational cost optimization organizational structure airport planning intelligent systems aviation radio equipment operation |
| url | https://journals.vilniustech.lt/index.php/Transport/article/view/24012 |
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