采用灰色混合模型选择最优第三方物流供应商

IF 0.5 4区工程技术 Q4 ENGINEERING, INDUSTRIAL

South African Journal of Industrial Engineering Pub Date : 2021-05-28 DOI:10.7166/32-1-2126

A. Ulutaş

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引用次数: 5

摘要

企业需要与合适的第三方物流供应商合作，以降低成本，提高物流绩效;因此，第三方物流供应商的选择问题对他们来说是一个重要的问题。本研究提出了灰色逐步加权评价比率分析(SWARA)和灰色组合距离评价(CODAS)来解决这一问题。据作者所知，没有其他研究同时使用灰色SWARA和灰色CODAS来解决任何问题。因此，提出了一种新的灰色混合模型，结合灰色SWARA和灰色CODAS来识别最佳的第三方物流供应商。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A GREY HYBRID MODEL TO SELECT THE OPTIMAL THIRD-PARTY LOGISTICS PROVIDER

Enterprises need to work with a proper third-party logistics provider to reduce costs and increase their logistics performance; so the third-party logistics (3PL) provider selection problem is a significant one for them. In this study, grey step-wise weight assessment ratio analysis (SWARA) and grey combinative distance-based assessment (CODAS) are proposed to address this problem. To the best of the authors’ knowledge, no other study uses grey SWARA and grey CODAS together to solve any problem. Therefore a new grey hybrid model incorporating grey SWARA and grey CODAS is proposed to identify the best 3PL provider.

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来源期刊

South African Journal of Industrial Engineering 工程技术-工程：工业

CiteScore

1.10

自引率

20.00%

发文量

审稿时长

6 weeks

期刊介绍： The South African Journal of Industrial Engineering (SAJIE) publishes articles with the emphasis on research, development and application within the fields of Industrial Engineering and Engineering and Technology Management. In this way, it aims to contribute to the further development of these fields of study and to serve as a vehicle for the effective interchange of knowledge, ideas and experience between the research and training oriented institutions and the application oriented industry. Articles on practical applications, original research and meaningful new developments as well as state of the art surveys are encouraged.