Multi-agent based approach for integrated aircraft maintenance management problems (Approche multi-agent pour la gestion des problemes d'entretien d'aeronefs entegre)
Başlık çevirisi mevcut değil.
- Tez No: 797953
- Danışmanlar: Belirtilmemiş.
- Tez Türü: Yüksek Lisans
- Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Bilim ve Teknoloji, Computer Engineering and Computer Science and Control, Science and Technology
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2017
- Dil: İngilizce
- Üniversite: Université Paris Descartes (Paris 5)
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 58
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Özet (Çeviri)
With the highly competitive nature of airline business, optimizing the aircraft maintenance problems have gained increasing importance. In the aircraft routing, a flight sequence or route is built for each individual aircraft so as to cover each flight exactly once at a minimum cost while satisfying maintenance requirements. Aircraft maintenance management has been troubled by many problems, such as scheduling determined maintenance, handling unscheduled maintenance, inventory management, and operation crew assignment. Most of the study solves separately these problems by following a sequence of tasks, and there exist novel studies that solve by integrating some of these problems. In this study, we consider the aircraft maintenance management problems with a new agent based approach which aims to support the airlines' operation managers for scheduling maintenance mandated by authorities, handling unscheduled maintenance, predicting unscheduled maintenance, managing aircraft component inventory, and managing staff allocation. We described four different agents for solving integratetly maintenance management problems by using STRIPS language and planned these agents by using partial order planning algorithm. The method, which we developed, differentiate from the classical integrated aircraft routing models (which integrate all optimization problems in one model and add new constraints to this model) because it does not use only one model when it integrated different problems in aircraft maintenance management. Also, our approach is more flexible because it is enough to change only the relevant agent when a regulation is changed on some constraints. The other difference is to be enough to only solve the problem which has an error instead of solving all models as classical integrated models.
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