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介绍一种新颖的带准则权重的多准则方案排序(RAWEC)模型。

Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model.

作者信息

Puška Adis, Štilić Anđelka, Pamučar Dragan, Božanić Darko, Nedeljković Miroslav

机构信息

Department of Public Safety, Government of Brčko District, M14.1 1 & Bulevar mira, Brčko 76100, Bosnia and Herzegovina.

Academy of Applied Studies Belgrade, College of Tourism, Bulevar Zorana Đinđića 152а, Belgrade 11070, Serbia.

出版信息

MethodsX. 2024 Feb 22;12:102628. doi: 10.1016/j.mex.2024.102628. eCollection 2024 Jun.

DOI:10.1016/j.mex.2024.102628
PMID:39669970
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11636910/
Abstract

Optimal selection of agricultural distribution center location significantly impact the agricultural industry's growth and regional development, as they enhance product accessibility for customers and streamline delivery for suppliers. Research presented in this paper focuses on the selection of locations for the needs of an agricultural distribution center using a new method of multi-criteria decision making (MCDM), referred as the Ranking Alternatives with Weights of Criterion (RAWEC) method. On a real-world example, the Brčko District of Bosnia and Herzegovina was evaluated for potential sites for the formation of an agricultural distribution center. The Logarithm Methodology of Additive Weights (LMAW) method was employed to calculate criterion weights, while potential locations were ranked using the novel RAWEC method. Additional analyses, including result validation, dynamic decision matrix and sensitivity analysis validated the use of the RAWEC method in the problem of ranking alternatives by demonstrating that the ranking order obtained by this method is consistent and constant. Furthermore, the simplicity and small number of steps of RAWEC method distinguished it from other MCDM methods.

摘要

农业配送中心选址的优化选择对农业产业增长和区域发展具有重大影响,因为它们提高了客户获取产品的便利性,并简化了供应商的配送流程。本文提出的研究聚焦于运用一种新的多准则决策方法(MCDM),即带准则权重的备选方案排序法(RAWEC),来为农业配送中心的需求选择合适的地点。以波斯尼亚和黑塞哥维那的布尔奇科区为例,对其作为农业配送中心潜在选址地进行了评估。采用加法权重对数法(LMAW)计算准则权重,同时使用新颖的RAWEC方法对潜在选址进行排序。包括结果验证、动态决策矩阵和敏感性分析在内的进一步分析,通过证明该方法获得的排序顺序一致且恒定,验证了RAWEC方法在备选方案排序问题中的应用。此外,RAWEC方法步骤简单且数量少,这使其有别于其他多准则决策方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/f13ceb9bf6b2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/335031865a77/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/1df4df50964c/gr2b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/67f22424fdea/gr2a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/f9e72c766814/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/bbe7a9edc2bc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/f13ceb9bf6b2/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/335031865a77/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/1df4df50964c/gr2b.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/67f22424fdea/gr2a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/f9e72c766814/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/bbe7a9edc2bc/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac4a/11636910/f13ceb9bf6b2/gr4.jpg

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Aust J Rural Health. 2022 Jun;30(3):393-401. doi: 10.1111/ajr.12846. Epub 2022 Feb 16.
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3
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Sci Rep. 2021 Sep 30;11(1):19461. doi: 10.1038/s41598-021-98698-y.
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Multi-objective cold chain logistic distribution center location based on carbon emission.基于碳排放的多目标冷链物流配送中心选址
Environ Sci Pollut Res Int. 2021 Feb 23. doi: 10.1007/s11356-021-12992-w.
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Ethical Issues in the COVID Era: Doing the Right Thing Depends on Location, Resources, and Disease Burden.新冠疫情时代的伦理问题:正确之举取决于地点、资源和疾病负担。
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