生产(经济)
数据科学
大数据
数据质量
质量(理念)
数据包络分析
计算机科学
工程类
数据挖掘
运营管理
经济
数学
认识论
数学优化
哲学
宏观经济学
公制(单位)
作者
Yong‐Hong Kuo,Andrew Kusiak
标识
DOI:10.1080/00207543.2018.1443230
摘要
Data have been utilised in production research in meaningful ways for decades. Recent years have offered data in larger volumes and improved quality collected from diverse sources. The state-of-the-art data research in production and the emerging methodologies are discussed. The review of the literature suggests that production research enabled by data has shifted from that based on analytical models to data-driven. Manufacturing and data envelopment analysis have been the most popular application areas of data-driven methodologies. The research published to date indicates that data mining is becoming a dominant methodology in production research. Future trends and opportunities for data-driven production research are presented.
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