Approaches to Performance Assessment in Reverse Supply Chains: A Systematic Literature Review

IF 3.6 Q2 MANAGEMENT Logistics-Basel Pub Date : 2023-06-28 DOI:10.3390/logistics7030036
Denilson Ricardo de Lucena Nunes, Danyelle de Sousa Nascimento, Jennifer Rodrigues Matos, A. C. S. Melo, V. Martins, Antônio Erlindo Braga
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引用次数: 1

Abstract

Background: The interest in the topic of performance assessment in reverse supply chains (RSC) is increasing, although the body of research is still in its early stages. As this is a developing field, it is crucial to expand discussions on topics that have not yet been thoroughly examined, such as the intrinsic bias of indicators and metrics that may be associated with specific operational, economic, environmental perspectives, etc. Such perspectives should be considered in the decision-making process within the context of reverse logistics (RL) and waste management (WM). The aim of this research was to identify different perspectives employed in the development of proposed models in the literature. Methods: A systematic literature review was conducted to analyze thirty papers from Scopus, Web of Science, and Science Direct databases without time restrictions. Results: The review identified various ways in which authors grouped perspectives, including qualitative and quantitative, sustainability, and operational perspectives, among others. Conclusions: This study revealed several gaps in the field, including limited studies on RSC performance assessment and a lack of studies linking performance assessment to decision-making components.
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逆向供应链绩效评估方法:系统文献综述
背景:尽管反向供应链绩效评估的研究仍处于早期阶段,但人们对该主题的兴趣正在增加。由于这是一个发展中的领域,扩大对尚未彻底审查的主题的讨论至关重要,例如可能与具体的业务、经济、环境视角相关的指标和指标的内在偏见等。在逆向物流(RL)和废物管理(WM)的决策过程中,应考虑这些观点。本研究的目的是确定在文献中提出的模型的开发中使用的不同视角。方法:对Scopus、Web of Science和Science Direct数据库中的30篇论文进行系统的文献综述,不受时间限制。结果:该综述确定了作者对观点进行分组的各种方式,包括定性和定量、可持续性和操作观点等。结论:这项研究揭示了该领域的一些差距,包括对RSC绩效评估的研究有限,以及缺乏将绩效评估与决策组成部分联系起来的研究。
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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来源期刊
Logistics-Basel
Logistics-Basel Multiple-
CiteScore
6.60
自引率
0.00%
发文量
0
审稿时长
11 weeks
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