Browsing by Author "Yenice, Zeren D."
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Master Thesis Location and Distribution Decisions in an Earthquake Relief Network(Kadir Has Üniversitesi, 2015) Yenice, Zeren D.; Samanlıoğlu, FundaIn this thesis, a multi-objective mathematical model was developed in order to configure part of the earthquake relief network in Istanbul, Turkey. The aim of the mathematical model was to help decision makers decide on the locations of storage areas for relief aids as well as distribution of relief aids from these areas to temporary shelter areas while minimizing expected total distribution distance, expected total earthquake damage risk factor of storage areas and expected total unsatisfied demand penalty cost. In the model, demands of the population, coverage restrictions, and storage area capacity restrictions were taken into consideration. The data related to the potential storage areas and shelter locations were obtained from Kadıköy municipality and İstanbul metropolitan municipality (IMM). The earthquake damage risk was determined based on possible earthquake scenarios given in Japan International Cooperation Agency's (JICA) report. The mathematical model was implemented in a pilot area, Kadiköy, and sample efficient solutions were obtained in order to prepare inventory and distribution plan.Article Citation Count: 9A Multi-Objective Stochastic Model for an Earthquake Relief Network(Wiley-Hindawi, 2020) Yenice, Zeren D.; Samanlıoğlu, FundaEarthquake relief network involves storage and distribution of relief aid to people in need. In this paper, a new stochastic multi-objective mixed integer mathematical model is developed and implemented in Kadikoy municipality of Istanbul, Turkey in order to configure part of the earthquake relief network. The aim of the model is to help decision makers decide on the locations of storage areas for shelters pre-earthquake and distribution of shelters from these areas to temporary shelter areas post-earthquake while minimizing earthquake scenario-specific total expected distribution distance, total expected earthquake damage risk factor of storage areas and expected total penalty cost related to unsatisfied demand at temporary shelter areas, simultaneously. In the model, storage area capacity and coverage distance restrictions are taken into consideration. The data related to potential storage areas and shelter locations were obtained from Kadikoy municipality of Istanbul and Istanbul Metropolitan Municipality (IMM). The earthquake damage risk factors were determined based on possible earthquake scenarios given in Japan International Cooperation Agency's (JICA) report. Four event scenarios with two different earthquake scenario likelihoods were considered and sample efficient solutions from the Pareto frontier were obtained implementing the normalized (scaled) weighted sum method.