运营与供应链管理中的大数据:当前趋势与未来展望

Big data in operations and supply chain management: current trends and future perspectives

Production Planning and Control · 2017
被引 191 · 同刊同年前 3%
ABS 3

中文导读

本文综述了大数据在运营与供应链管理中的应用,聚焦制造、采购和物流三个领域,并提出了未来应用方向,适合相关领域的研究者和从业者快速了解现状与趋势。

Abstract

Operations and supply chain management encompasses a vast domain and hence provides a myriad of opportunities for huge voluminous data generated from various sources in real time. Such huge data having the requisite properties of big data can be utilised to gain critical and fundamental insights towards optimising the operations and supply chain and thus making effective and efficient decisions. In the recent years, research interest in big data has increased substantially and therefore researchers and practitioners have also tried to tap the capabilities of big data to optimise operations and supply chain management. In this paper, the literature relating to the integration of big data with operations and supply chain management is reviewed. In particular, reviewing past work is primarily focused on three key areas of the operations and supply chain management, namely manufacturing, procurement and logistics where big data has been applied. In addition to reviewing past literature, paper also proposes application of big data in operations and supply chain management.

运营管理供应链管理大数据物流采购