Büyük ölçekli aşılama için adil ve verimli yerleşim, rotalama ve atama modelleri


Kayışoğlu B., Salman F. S., Yücel E., Demir M. H., Kayı İ., Kıavash P.

Euro Hope Mini Conference, İstanbul, Türkiye, 5 - 07 Ekim 2022, ss.4

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.4
  • Abdullah Gül Üniversitesi Adresli: Evet

Özet

During a pandemic, it is possible to prevent the spread of the disease and its serious effects such as severe illness and death with vaccination. Accessibility to vaccination locations may be one of the reasons for the low vaccination rate. With the presumption that bringing vaccination services closer to locations where patients reside may alleviate this problem, we consider providing vaccination services to the patient groups by mobile facilities. We form patient groups who are in the same location, have the same ideal vaccination schedule, and prefer the same type of vaccine. We study on a mobile facility location and scheduling problem for patient groups living in the center and a mobile facility routing and scheduling problem for patient groups living in rural areas. In the first problem, mobile facilities are located at the location where they will serve all day and serve the refugee groups within walking distance. The primal objective is to minimize the number of people who are not vaccinated. To minimize the amount of lateness in vaccination, to locate the mobile facilities close to the patient groups, and to minimize the total distance traveled by the mobile facilities are also among the objectives. In the second problem, mobile facilities for patient groups living in rural areas visit more than one location during the day and serve patient groups. The objectives in the second problem are to minimize the number of people who are not vaccinated, the amount of lateness in vaccination, as in the first problem, and also to minimize the distance traveled by the mobile facilities during the day. We develop mathematical models for both problems. We run the proposed models for Covid-19 vaccination of Syrian refugee groups living in different neighborhoods in the city of Gaziantep in Turkey. It has not been possible to solve the models with standard optimization programs, as the large number of refugee groups in different locations increases the problem size. For both problems, we develop heuristic solution methodologies. We solve the problems with the proposed heuristic approaches and analyze the solutions.

Keywords: Pandemic, response logistics, vaccine supply chain, vaccine distribution, location-routing