Location and replenishment problems of disaster stations for humanitarian relief logistics along with an application

被引:0
|
作者
Elif Yoruk
Adil Baykasoglu
Mualla Gonca Avci
机构
[1] Dokuz Eylül University,Department of Industrial Engineering, Faculty of Engineering
来源
Natural Hazards | 2023年 / 119卷
关键词
Humanitarian relief logistics; Location; Neighborhood disaster stations; Replenishment; Vehicle routing;
D O I
暂无
中图分类号
学科分类号
摘要
One of the new pre-disaster activities in Türkiye is to locate the neighborhood disaster stations (i.e., containers) that contain emergency relief items like tents, medicines and canned goods so that people can take the relief items inside them. After a disaster, people should reach to these items easily and quickly. Therefore, locating the disaster stations in the right locations is important. Moreover, emergency relief items inside the disaster stations have an expiration date. Therefore, they need to be replenished periodically to be usable after a disaster. To the best of our knowledge, there is no study in the literature that considers the location problem of disaster stations and the replenishment problem of perishable relief items that are inside the disaster stations simultaneously. Therefore, in this study, the location and replenishment problems of the neighborhood disaster stations are studied. A MILP model is developed for solving the stated problem. The primary goal is to decide the locations of the disaster stations, which will minimize the maximum distance between a post-disaster assembly area and the nearest disaster station. The second objective is to create routes that will minimize the total transportation cost in the replenishment process of the items. Optimal solution is obtained by using the proposed model for solving a small instance in IBM ILOG CPLEX 12.9 and the model is verified. Moreover, a case study is performed by using the real data of Buca/Izmir, and computational studies are done for evaluating the performance of the model.
引用
收藏
页码:1713 / 1734
页数:21
相关论文
共 50 条
  • [41] An edge-based stochastic facility location problem in UAV-supported humanitarian relief logistics: a case study of Tehran earthquake
    Mahmoud Golabi
    Seyed Mahdi Shavarani
    Gokhan Izbirak
    Natural Hazards, 2017, 87 : 1545 - 1565
  • [42] Modelling a bi-level multi-objective post-disaster humanitarian relief logistics network design problem under uncertainty
    Wang, Qi
    Liu, Yankui
    Pei, Huili
    ENGINEERING OPTIMIZATION, 2024, 56 (08) : 1220 - 1254
  • [43] Social cost-vehicle routing problem and its application to the delivery of water in post-disaster humanitarian logistics
    Sadeghi, Azadeh
    Aros-Vera, Felipe
    Mosadegh, Hadi
    YounesSinaki, Roohollah
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 176
  • [44] Bi-objective facility location under uncertainty with an application in last-mile disaster relief
    Najmesadat Nazemi
    Sophie N. Parragh
    Walter J. Gutjahr
    Annals of Operations Research, 2022, 319 : 1689 - 1716
  • [45] Bi-objective facility location under uncertainty with an application in last-mile disaster relief
    Nazemi, Najmesadat
    Parragh, Sophie N.
    Gutjahr, Walter J.
    ANNALS OF OPERATIONS RESEARCH, 2022, 319 (02) : 1689 - 1716
  • [46] THE APPLICATION OF THE GENETIC ALGORITHM TO MULTI-CRITERIA WAREHOUSES LOCATION PROBLEMS ON THE LOGISTICS NETWORK
    Izdebski, Mariusz
    Jacyna-Golda, Ilona
    Wasiak, Mariusz
    Jachimowski, Roland
    Klodawski, Michal
    Pyza, Dariusz
    Zak, Jolanta
    TRANSPORT, 2018, 33 (03) : 741 - 750
  • [47] Application of cloud computing and big data in three-stage dynamic modeling of disaster relief logistics and wounded transportation: a case study
    Niyazi, Mehrdad
    Behnamian, Javad
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (13) : 38121 - 38140
  • [48] Application of cloud computing and big data in three-stage dynamic modeling of disaster relief logistics and wounded transportation: a case study
    Mehrdad Niyazi
    Javad Behnamian
    Environmental Science and Pollution Research, 2023, 30 : 38121 - 38140
  • [49] A scenario-based game theory integrating with a location-allocation-routing problem in a pre- and post-disaster humanitarian logistics network under uncertainty
    Ashkezari, Ali Beiki
    Zokaee, Mahsa
    Rabbani, Erfan
    Rabbani, Masoud
    Aghsami, Amir
    JOURNAL OF MODELLING IN MANAGEMENT, 2024, 19 (05) : 1686 - 1718
  • [50] Simulation-Optimization Approach for Multi-Period Facility Location Problems with Forecasted and Random Demands in a Last-Mile Logistics Application
    Rabe, Markus
    Gonzalez-Feliu, Jesus
    Chicaiza-Vaca, Jorge
    Tordecilla, Rafael D.
    ALGORITHMS, 2021, 14 (02)