A Modular Software Architecture for Tool Tracking and Calibration Compliance in Aviation Maintenance Systems


Romialison J., Sagynbekova D., Ronsard F., Taqi H., Bulut K. C., Solak S.

8th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Ankara, Türkiye, 21 - 23 Mayıs 2026, ss.1-5, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ichora69329.2026.11537238
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-5
  • Kocaeli Üniversitesi Adresli: Evet

Özet

This paper presents an aviation-specific compliance-driven tool management system for maintenance operations. The study is motivated by the limitations of manual and weakly digitized tool-control practices, which can reduce auditability, delay discrepancy detection, and weaken control over missing or expired items. In aviation, such weaknesses are particularly consequential because unaccounted tools may increase Foreign Object Debris (FOD) exposure, while inadequate calibration visibility may compromise compliance and maintenance assurance. Unlike studies centered mainly on RFID-based identification or generic IoT-enabled inventory monitoring, the proposed system integrates tool traceability, calibration status, user authorization, and approval-governed workflow control within a unified software platform. The implementation follows a software-first, retrofit-friendly strategy suited to industrial settings where immediate full-scale hardware deployment may be costly or operationally disruptive. The current prototype includes a role-structured backend, a persistent relational data model, and a web-based supervisory interface. Scenario-based validation confirmed protected access control, persistent management of tool and calibration records, approval-governed inventory changes, and interface-level calibration visibility. In operational terms, the prototype makes expired calibration conditions more immediately visible and missing-tool situations more traceable through centralized, user-linked workflow records. These results demonstrate software-layer feasibility and establish a structured digital foundation for later RFID, IoT, and analytics integration.