Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1080/00207543.2018.1443230 | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH |
Keywords | DocType | Volume |
production, data, data mining, data-driven models, big data, smart manufacturing, data envelopment analysis, simulation | Journal | 57 |
Issue | ISSN | Citations |
15-16 | 0020-7543 | 3 |
PageRank | References | Authors |
0.39 | 42 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong-Hong Kuo | 1 | 4 | 3.46 |
| A. Kusiak | 2 | 724 | 111.33 |