Evaluating Wheat Suppliers Using Fuzzy MCDM Technique

被引:7
作者
Magableh, Ghazi M. [1 ]
机构
[1] Yarmouk Univ, Ind Engn Dept, Irbid 21163, Jordan
关键词
wheat supply chain; supplier selection; MCDM; fuzzy VIKOR; VIKOR METHOD; CHAIN; SELECTION; FOOD;
D O I
10.3390/su151310519
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wheat has significantly impacted food security in numerous countries. Like the Middle East and North Africa (MENA) region, Jordan's daily diet contains a sizable amount of wheat. Further, Jordan is dealing with several issues, including rapid population growth, water scarcity, widespread urbanization, and limited agricultural wheat production. Thus, it imports most of its wheat and wheat products. Moreover, the method of selecting suppliers in Jordan is unique, as private importers import for the benefit of the government, and thus, the selection of suppliers is carried out by importers. This study aims to examine the various supplier selection approaches to determine Jordan's primary wheat suppliers and rank them according to specified criteria. The fuzzy-VIKOR approach was used to assess, select, and rank the best wheat suppliers in Jordan. The findings suggest that Romania is the best supplier of wheat for Jordan. It is recognized as the most affordable and trustworthy supplier since it is nearby, has strong links through official channels, and is flexible. Suppliers are subject to change or adjust their offerings as a result of changes in the global economy, wheat prices at the source, exchange rates, transportation and handling costs, crises, and national export levies. This study will help importers, decision-makers, and others concerned with wheat imports as a strategic commodity identify and select suppliers.
引用
收藏
页数:23
相关论文
共 55 条
  • [41] Reidy J., 2022, JORDAN WHEAT IMPORTS
  • [42] Resende C.H.L., 2021, PROCEDIA MANUF, V55, P492, DOI [10.1016/j.promfg.2021.10.067, DOI 10.1016/J.PROMFG.2021.10.067]
  • [43] Evaluation and selection of resilient suppliers in fuzzy environment Exploration of fuzzy-VIKOR
    Sahu, Anoop Kumar
    Datta, Saurav
    Mahapatra, S. S.
    [J]. BENCHMARKING-AN INTERNATIONAL JOURNAL, 2016, 23 (03) : 651 - 673
  • [44] Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method
    Salimi, Amir Hossein
    Noori, Amir
    Bonakdari, Hossein
    Samakosh, Jafar Masoompour
    Sharifi, Ehsan
    Hassanvand, Mohammadreza
    Gharabaghi, Baharam
    Agharazi, Mehdi
    [J]. SUSTAINABILITY, 2020, 12 (03)
  • [45] Group decision making process for supplier selection with VIKOR under fuzzy environment
    Sanayei, Amir
    Mousavi, S. Farid
    Yazdankhah, A.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2010, 37 (01) : 24 - 30
  • [46] Agriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners
    Sharma, Rohit
    Shishodia, Anjali
    Kamble, Sachin
    Gunasekaran, Angappa
    Belhadi, Amine
    [J]. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2024, 27 (11) : 2351 - 2377
  • [47] A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting
    Shemshadi, Ali
    Shirazi, Hossein
    Toreihi, Mehran
    Tarokh, M. J.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (10) : 12160 - 12167
  • [48] Sustainable Collective Innovation in the Agri-Food Value Chain: The Case of the "Aureo" Wheat Supply Chain
    Stanco, Marcello
    Nazzaro, Concetta
    Lerro, Marco
    Marotta, Giuseppe
    [J]. SUSTAINABILITY, 2020, 12 (14)
  • [49] Sudha V., 2021, P INT C ADV EL EL CO, P1, DOI [10.1109/ICAECA52838.2021.9675749, DOI 10.1109/ICAECA52838.2021.9675749]
  • [50] A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty
    Thanh-Tuan Dang
    Ngoc-Ai-Thy Nguyen
    Van-Thanh-Tien Nguyen
    Le-Thanh-Hieu Dang
    [J]. AXIOMS, 2022, 11 (05)