Surplus Materials Analytics
Surplus Materials Analytics is an academic methodology that systematically applies data-driven techniques to identify, quantify, and optimize the disposition, reuse, and economic value recovery of surplus materials within organizational and supply chain contexts.
2
Publications
26
Citations
7
Authors
4
Institutions
Publications per year
2017–2026
2
Parents
2
Data-driven Surplus Material Prediction in Steel Coil Production
Ziyan Zhao, Xiaoyue Yong, Shixin Liu et al. · 2020 · 14 citations
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4

Northeastern University
Shenyang, China
1 h-index
2 publications
28 citations
State Key Laboratory of Synthetical Automation for Process Industries
Shenyang, China
1 h-index
2 publications
28 citations
University of Utah
Salt Lake City, United States
1 h-index
3 publications
36 citations
New Jersey Institute of Technology
Newark, United States
1 h-index
1 publications
14 citations
1–4 of 4
1 publications · 12 citations
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1–1