4.6 Article

Application of Value Stream Mapping in E-Commerce: A Case Study on an Amazon Retailer

期刊

SUSTAINABILITY
卷 14, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/su14020713

关键词

e-commerce supply chain; value stream mapping; customer satisfaction; cost reduction

向作者/读者索取更多资源

This study investigates the application of value stream mapping (VSM) in the supply chain of an e-commerce retailer on Amazon. By visualizing the entire supply chain with VSM, waste produced during the delivery process was identified. The root cause of the waste was found using the five whys method. A scoring method was developed to evaluate and compare different supply chain logistic models. It was shown that the methodology could improve supply chain management efficiency, customer satisfaction, and cost reduction.
In recent years, the e-commerce market has grown significantly, and the online retail market has become very competitive. Online retailers strive to improve their supply chain operations to reduce costs and to improve customer satisfaction. Value stream mapping (VSM), a tool created by the lean production movement to identify and reduce errors, losses, and lead time and to improve value-added activities, has been proven to be effective in many manufacturing processes. In this study, we investigate the application of value stream mapping (VSM) in the supply chain of an e-commerce retailer on Amazon. By visualizing the entire supply chain with VSM, the waste that is produced during the delivery process from the retailer to the customer was identified. The five whys method was then applied to find the root cause of the waste. Furthermore, a scoring method was developed to evaluate and compare two different supply chain logistic models to identify a strategy for improvement. This study provides a systematic methodology to understand, evaluate, and improve the entire e-commerce supply chain process utilizing VSM. It was demonstrated that the methodology could improve supply chain management efficiency, customer satisfaction, and cost reduction.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据