Tarih:
Başlangıç Zamanı: Starting Time 01:00 pm ~ 02:00 pm
Konum: A 423
Abstract:
In this talk, the speaker discusses two notable studies from his academic works. The first study addresses the aircraft routing and scheduling problem(ARSP) from an industry perspective. ARSP theoretically corresponds to the service network design problem (SNDP) in the network optimization literature. In air cargo/freight transportation, carriers often create weekly or monthly recurring schedules due to their managerial advantages. To obtain these schedules, decision makers formulates an SNDP that is a very difficult and complex problem to solve with the contribution of civil aviation rules and daily business restrictions. Parcel cargo carriers play a very important role in fulfilling the express delivery services such as “next day delivery” or “two-day delivery” that end customers expect from the retail sector. In order to provide these services, the carriers has to follow a very tight working schedule that fills 24 hours a day. The most critical part of this working schedule is the air network operations that must be integrated with ground operations. Due to the high initial investment and operating costs involved in providing air freight transportation services, it is critical to solve the SNDP efficiently and effectively to sustain and improve the of carriers’ profitability. In the first part of this seminar, a solution procedure developed for solving SNDP on the feeder air network operated by FedEx in the Latin American and Caribbean market and its results are discussed.
The second study is the power distribution network restoration problem that is the subject of the speaker's postdoctoral research project. In this problem, the objective is to minimize the total disruption time of the disrupted nodes on the network. The power distribution network and the road network are considered together and the company dispatches multiple crews to repair the disrupted nodes/power. In addition, there are precedence relationships between the nodes on the power distribution network due to the natural structure of the network. The precedence relationships turn the objective function into a cumulative function, making the problem no longer a classical VRP. In order to solve the problem, an exact solution method consisting of column generation, cut generation, and Tabu search algorithm is being developed.
Bio:
Yusuf Seçerdin just completed a research project as a Postdoctoral researcher at the Department of Engineering Technology and Industrial Distribution, Texas A&M University. He received his PhD degree in Industrial Engineering from the University of Miami in 2020, and M.S. degree in Industrial Engineering from TOBB University of Economics and Technology in 2013. His research concentrates on network design and optimization, specifically modeling hub location and hub network design, and service network design problems for freight transportation systems. In his doctoral studies, he has developed a series of models and procedures that optimize the air network operations, which was motivated and supported by FedEx and its airfreight operations in the Latin America and the Caribbean. Yusuf has one paper published in Annals of OR, two full papers in the pipeline, and two papers in work-in-process. In addition to his theoretical contributions, Yusuf built a comprehensive decision-support tool that incorporates his models and algorithms for practical use. Yusuf was the recipient of the 2020 IE Outstanding Graduate Student Award for Research. In 2018, his paper was awarded the third place in the best student paper competition held by the Logistics and Supply Chain Division of the IISE. In 2019, his poster presentation in the Engineering and Physical Sciences field at the University of Miami’s First Annual Graduate and Postdoctoral Research Symposium was selected as runner up, and he was qualified to participate and represent his school in the Statewide Graduate Research Symposium at the 2019 Conference of Florida Graduate Schools. In spring 2020, he undertook the task of teaching a graduate-level course (IEN 764 Supply Chain Management) at the Department of Industrial Engineering, University of Miami.