Selection of outsourcing logistics providers in the context of low-carbon strategies

被引:8
|
作者
Cheng, Cheng [1 ]
Wang, Xiaomin [1 ]
Ren, Xiaohang [2 ]
机构
[1] Shanxi Univ Finance & Econ, Sch Management Sci & Engn, 140 Wucheng Rd, Taiyuan 030006, Shanxi, Peoples R China
[2] Cent South Univ, Business Sch, 932 Lu Shan Nan Lu, Changsha 410083, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Low-carbon logistics; Supplier selection; Selection criteria; Grey correlation VIKOR model; SUSTAINABLE SUPPLIER SELECTION; ANALYTIC NETWORK PROCESS; GROUP DECISION-MAKING; ENVIRONMENTAL SUSTAINABILITY; EMPIRICAL-EVIDENCE; SERVICE PROVIDERS; CHAIN MANAGEMENT; MODEL; GREEN; FRAMEWORK;
D O I
10.1007/s11356-022-23468-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As more attention is given to climate change and sustainable development in China, enterprises start to care about carbon emissions related to their supply chains. One important issue faced by an enterprise is to select a logistics provider who can provide a high-quality service with low carbon levels. To solve this issue, this paper proposes a selection criterion from the perspective of low carbon levels based on previous studies. The selection criterion consists of comprehensive strength, financial status, market competitiveness, development potential and low carbon level. Next, this paper applies a combined method of information entropy and grey correlation vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) model to evaluate the proposed selection criterion. Subsequently, this paper took company S and its four logistics providers as a case study to check the applicability of our proposed selection method and to illustrate how to use it. Sensitivity analysis and comparative analysis are also conducted. Related managerial insights are also proposed based on the evaluation results. One finding of this paper is to establish a decision-making framework to evaluate logistics suppliers under the new background of 'emission peak and carbon neutrality'.
引用
收藏
页码:18701 / 18717
页数:17
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