Periyodik Bakımı Gerçekleştirilen Bir Sistem için Durum Bazlı Bakım Politikaları Geliştirilmesi

Öz

Bu çalışmanın amacı sahada aktif olarak kullanılan termal kameralarda yer alan kritik soğutma alt-sistemi için en iyi bakım politikası ve buna karşılık gelen kontrol periyodunun belirlenmesidir. Sistem tamamen kullanılamaz duruma geçmeden önce bazı uyarılar vermektedir. Bu sayede sistem çok durumlu Markov Süreci ile modellenebilmektedir. Sahada kullanılan sistemin durumunu belirlemek için belirli periyotlarla uzman ekip tarafından kontrol edilmesi gerekmektedir. Sistemin durumuna göre alınabilecek bazı önleyici bakımlar sayesinde sistemin güvenilirliği artırılabilmektedir. Sistem arızalı duruma geçtiği andan bir sonraki kontrol periyoduna kadar termal kamera kullanılmaz durumdadır. Bu süre aksama süresi olarak adlandırılmaktadır ve aksama maliyetine neden olmaktadır. Amacımız bakım maliyeti ile aksama maliyetini dengeleyecek optimal bakım politikaları geliştirmektir. Önleyici bakım politikaları ile sistem arıza durumuna geçmeden önce müdahale edilerek ileride karşılaşılacak büyük maliyetleri engellenebilir. Aynı zamanda, bu bakım onarım yaklaşımıyla sistemin hazır olabilirliği de arttırılarak müşteri memnuniyeti sağlanacaktır.

Anahtar Kelimeler

• Durum bazlı bakım politikası
• Periyodik kontrol
• Markov eskime modeli
• Yenileme teorisi

Etik Beyan

Çalışmanın tüm süreçlerinin araştırma ve yayın etiğine uygun olduğunu, etik kurallara ve bilimsel atıf gösterme ilkelerine uyduğumu beyan ederim.

Developing Condition Based Maintenance Policies for A Periodically Maintained System

Öz

In this paper, we construct a random decision model to determine the optimal inspection period and maintenance policy for the cooling component of a thermal camera that is actively used in the field. Before the system becomes completely inoperable, it provides certain warning signals. Therefore, the system can be modeled as a multi-state Markov process. The condition of the system in the field must be inspected periodically by an expert team. Based on the system state, preventive maintenance actions can be performed to improve system reliability. Once the system enters a failed state, the thermal camera remains unavailable until the next inspection period. This duration is defined as downtime and results in downtime costs. Our objective is to construct optimum maintenance policies that balance the maintenance cost and the downtime cost. Through preventive maintenance policies, interventions can be performed before system failure occurs, thereby preventing substantial future costs. Moreover, this maintenance approach increases system availability and enhances customer satisfaction.

Anahtar Kelimeler

• Condition based maintenance
• Periodic inspection
• Markov process
• Renewal theory

Etik Beyan

I declare that all processes of this study were conducted in accordance with research and publication ethics, and that I complied with ethical rules and the principles of scientific citation.

Kaynakça

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