Fuzzy best-worst method-based approach for warehouse location selection and a case study in Izmir

被引:3
|
作者
Cergibozan, Cagla [1 ]
Golcuk, Ilker [2 ]
机构
[1] Dokuz Eylul Univ, Dept Ind Engn, Izmir, Turkiye
[2] Izmir Bakircay Univ, Dept Ind Engn, Izmir, Turkiye
关键词
Decision-making; Supply chain management; Optimization techniques; Fuzzy logic; Warehouse location selection; DECISION-MAKING; MULTICRITERIA OPTIMIZATION; FACILITY LOCATION; OR/MS RESEARCH; HUMANITARIAN; PRIORITIZATION; SYSTEM; MODEL; SETS;
D O I
10.1108/K-06-2023-0941
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
PurposeThe study aims to propose a decision-support system to determine the location of a regional disaster logistics warehouse. Emphasizing the importance of disaster logistics, it considers the criteria to be evaluated for warehouse location selection. It is aimed to determine a warehouse location that will serve the disaster victims most efficiently in case of a disaster by making an application for the province of Izmir, where a massive earthquake hit in 2020.Design/methodology/approachThe paper proposes a fuzzy best-worst method to evaluate the alternative locations for the warehouse. The method considers the linguistic evaluations of the decision-makers and provides an advantage in terms of comparison consistency. The alternatives were identified through interviews and discussions with a group of experts in the fields of humanitarian aid and disaster relief operations. The group consists of academics and a vice-governor, who had worked in Izmir. The results of a previously conducted questionnaire were also used in determining these locations.FindingsIt is shown how the method will be applied to this problem, and the most effective location for the disaster logistics warehouse in Izmir has been determined.Originality/valueThis study contributes to disaster preparedness and brings a solution to the organization of the logistics services in Izmir.
引用
收藏
页数:24
相关论文
共 50 条
  • [21] Comparing best-worst method and full consistency method in a fuzzy environment
    Haqbin, Arash
    DECISION SCIENCE LETTERS, 2022, 11 (02) : 181 - 192
  • [22] The waste-to-energy incineration plant site selection based on hesitant fuzzy linguistic Best-Worst method ANP and double parameters TOPSIS approach: A case study in China
    Luo, Chao
    Ju, Yanbing
    Gonzalez, Ernesto D. R. Santibanez
    Dong, Peiwu
    Wang, Aihua
    ENERGY, 2020, 211
  • [23] Identifying challenges and barriers for development of solar energy by using fuzzy best-worst method: A case study
    Mostafaeipour, Ali
    Alvandimanesh, Marzieh
    Naja, Fatemeh
    Issakhov, Alibek
    ENERGY, 2021, 226
  • [24] Sustailient supplier selection using neutrosophic best-worst approach: a case study of additively manufactured trinkets
    Ambilkar, Priya
    Verma, Priyanka
    Das, Debabrata
    BENCHMARKING-AN INTERNATIONAL JOURNAL, 2024, 31 (05) : 1515 - 1547
  • [25] A novel fuzzy general best-worst method for considering diversity and inclusion in supplier selection programs
    Tavana, Madjid
    Sorooshian, Shahryar
    Sarvarizadehkouhpaye, Meysam
    Mina, Hassan
    ANNALS OF OPERATIONS RESEARCH, 2024,
  • [26] Approaches for multicriteria decision-making based on the hesitant fuzzy best-worst method
    Li, Jian
    Niu, Li-li
    Chen, Qiongxia
    Wang, Zhong-xing
    COMPLEX & INTELLIGENT SYSTEMS, 2021, 7 (05) : 2617 - 2634
  • [27] The best-worst method for the study of preferences: Theory and applications
    Marley, Anthony A. J.
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2008, 43 (3-4) : 168 - 168
  • [28] The best-worst method for the study of preferences Theory and application
    Marley, A. A. J.
    COGNITION AND NEUROPSYCHOLOGY: INTERNATIONAL PERSPECTIVES ON PSYCHOLOGICAL SCIENCE, VOL 1, 2010, : 147 - 157
  • [29] An assessment of the banking industry performance based on Intuitionistic fuzzy Best-Worst Method and fuzzy inference system
    Seyfi-Shishavan, Seyed Amin
    Gundogdu, Fatma Kutlu
    Farrokhizadeh, Elmira
    APPLIED SOFT COMPUTING, 2021, 113
  • [30] A Novel Extension of Best-Worst Method With Intuitionistic Fuzzy Reference Comparisons
    Wan, Shuping
    Dong, Jiuying
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (06) : 1698 - 1711