Inland terminal location selection using the multi-stakeholder best-worst method

被引:12
|
作者
Liang, Fuqi [1 ]
Verhoeven, Kyle [1 ]
Brunelli, Matteo [2 ]
Rezaei, Jafar [1 ]
机构
[1] Delft Univ Technol, Fac Technol Policy & Management, Delft, Netherlands
[2] Univ Trento, Dept Ind Engn, Trento, Italy
关键词
Inland terminal location selection; shipping line; best-worst method; consensus;
D O I
10.1080/13675567.2021.1885634
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The aim of this study is to develop an inland terminal location selection methodology. This methodology is viewed from the perspective of the shipping line designing the inland transport chain while also taking the objectives of multiple other stakeholders into account. To that end, we develop a consensus model for a group Best-Worst Method (BWM) in order to aggregate the evaluations of the various stakeholders. The proposed method is applied to a real-life case study involving the Maersk shipping line, in which nine experts representing three different types of stakeholders assess six possible locations. After the evaluation, the market volume potential is identified as one of the most important criteria. Furthermore, a sensitivity analysis indicates that a varying influx of the container volume has no impact on the most desirable location.
引用
收藏
页码:363 / 385
页数:23
相关论文
共 50 条
  • [41] Embedding Best-Worst Method into Data Envelopment Analysis
    Yu, Yu
    Khezrimotlag, Dariush
    [J]. ASIA-PACIFIC JOURNAL OF OPERATIONAL RESEARCH, 2024, 41 (01)
  • [42] Decision Making with Intuitionistic Fuzzy Best-Worst Method
    Cheng, Xianjuan
    Chen, Changxiong
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 237
  • [43] The Best-Worst Method Based on Interval Neutrosophic Sets
    Xu, Dongsheng
    Kang, Xue
    Zhang, Xinghai
    Zhu, Moyi
    [J]. IAENG International Journal of Computer Science, 2024, 51 (10) : 1527 - 1533
  • [44] Innovation and Survival of Traditional Industries: Measuring Barriers Using the Best-Worst Method
    Khani, Soodabeh Amiri Ali Akbar
    Kheybari, Siamak
    Latifi, Mohammad-Ali
    Salimi, Negin
    Labib, Ashraf
    [J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2023,
  • [45] A Fuzzy Best-Worst Multi-Criteria Group Decision-Making Method
    Guo, Sen
    Qi, Ze
    [J]. IEEE ACCESS, 2021, 9 : 118941 - 118952
  • [46] A group multi-criteria decision-making based on best-worst method
    Safarzadeh, Soroush
    Khansefid, Saba
    Rasti-Barzoki, Morteza
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2018, 126 : 111 - 121
  • [47] Strategic supplier selection using multi-stakeholder and multi-perspective approaches
    Ho, William
    Dey, Prasanta Kumar
    Bhattacharya, Arijit
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2015, 166 : 152 - 154
  • [48] Robust Optimization of Best-worst Multi-criteria Decision-making Method
    Qu, Deqiang
    Wu, Zhong
    Qu, Shaojian
    Zhang, Fan
    Li, Ping
    [J]. JOURNAL OF WEB ENGINEERING, 2020, 19 (7-8): : 1067 - 1088
  • [49] Prioritizing Competitive Capabilities in Additive Manufacturing Systems Using Best-Worst Method
    Dohale, Vishwas
    Akarte, Milind
    Verma, Priyanka
    [J]. ADVANCES IN BEST-WORST METHOD, BWM2022, 2023, : 117 - 128
  • [50] Assessment of Environmental Performance Criteria in Textile Industry Using the Best-Worst Method
    Gbolarumi, Fadara Taiwo
    Wong, Kuan Yew
    [J]. ADVANCES IN BEST-WORST METHOD, BWM2021, 2022, : 160 - 174