Humanitarian location models under uncertainty


Bayram V., De Gama F. S., Yetiş Kara B., Yaman Patternotte H.

Stochastic Problems in Location Analysis, Vlad Marianov,HA Eiselt, Editör, Springer, London/Berlin , London, ss.1, 2022

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2022
  • Yayınevi: Springer, London/Berlin 
  • Basıldığı Şehir: London
  • Sayfa Sayıları: ss.1
  • Editörler: Vlad Marianov,HA Eiselt, Editör
  • TED Üniversitesi Adresli: Evet

Özet

This chapter focuses on a major area emerging in the context of humanitarian logistics: emergency evacuation planning and management. Two major aspects are covered: shelter site location and evacuation tra c assignment. Both are discussed separately before an integrated problem is considered. Throughout the chapter, uncertainty in the underlying parameters is assumed. The major sources of uncertainty analyzed are the demand for sheltering, and capacity of the edges in the underlying network. Congestion issues emerge in this context that are also considered. Di erent paradigms for capturing uncertainty are considered for illustrative purposes namely, robust optimization, probabilistic programing and stochastic programming.