Thesis Defense - Birce Adsanver (MSIE)

Birce Adsanver - M.Sc.Industrial Engineerinf

Asst. Prof. Elvin Çoban – Advisor

Assoc. Prof. Burcu Balçık - Co-advisor

Date: 24.08.2020

Time: 11:00

Location: This meeting will be held ONLINE. Please send an e-mail to gizem.bakir@ozyegin.edu.tr in order to participate in this defense.

An Integrated Post-disaster Assessment Routing Problem for

Collecting Damage Information with Drones

Thesis Committee:

Asst. Prof. Elvin Çoban - Özyeğin University

Assoc. Prof. Burcu Balçık - Özyeğin University

Asst. Prof. Erinç Albey - Özyeğin University

Asst. Prof. İhsan Yanıkoğlu - Özyeğin University

Asst. Prof. Umman Mahir Yıldırım - İstanbul Bilgi University

Abstract:

In this study, we focus on post-disaster damage assessment operations supported by a set of drones when the disaster-affected area is divided into grids, and grids are clustered based on their attributes. We propose a two-phase methodology that will be applied in an assessment interval to assess the damage status of the built environment in grids. Specifically, given a set of drones and a limited time for an assessment interval, the first phase addresses the problem of determining the grids to scan by each drone and the sequence of visits to the selected grids. We aim to maximize the total priority score collected from the scanned grids while satisfying the predefined targeted coverage ratio. In the second phase, we aim to predict the damage status of unscanned grids by using the cluster-based information obtained from the scanned grids at the end of the assessment interval. Nevertheless, the damage status of all grids may not be assessed (by scanning or prediction) after one interval; therefore, these two phases iterate until all grids are evaluated. For the problem solved in the first phase, we adapt two formulations from the literature developed for electric vehicle routing problems. We also develop a Variable Neighborhood Search based heuristic which can find high-quality solutions rapidly. We evaluate the performance of the alternative formulations and the heuristic in a variety of instances. For the second phase, we devise a novel imputation method and different imputation policies to predict the damage status of the unscanned grids. We also define several performance metrics to measure the efficiency and effectiveness of the proposed imputation policies. Our analyses demonstrate that using the proposed imputation policies improve the system performance as they induce a rapid detection of the damaged areas.

Bio: 

Birce Adsanver graduated from Beyoğlu Anatolian High School in 2012. She earned her B.Sc. degree in Industrial Engineering from Özyeğin University in June 2018. She has been pursuing her M.Sc. degree in Industrial Engineering at Özyeğin University since September 2018, under the supervision of Dr. Elvin Çoban and Dr. Burcu Balçık. Her research interests include supply chain management, humanitarian logistics, and healthcare operations.

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Kişisel Verilerin Korunması/Aydınlatma Metni

Özyeğin Üniversitesi Fen Bilimleri Enstitüsü bünyesindeki programlarda, izleyici olarak katılınan online platformlarda gerçekleştirilen aleni akademik faaliyetlerin sadece idari ve yasal yükümlülüklerin yerine getirilmesi amacıyla kayıt altına alındığı, söz konusu kayıt ile elde edilen kişisel verilerin ilgililer tarafından başka bir amaçla kullanılamayacağı hususunda şahsınızı aydınlatır, toplantıya gönüllü katılım ile bu hususu beyan ve taahhüt etmiş olduğunuzu belirtir, gereğini önemle rica ederiz. 

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