Production planning based on supply chain volatility clustering: a machine learning approach

Shusheng Ding; Tianxiang Cui; Ruibin Bai

Production planning based on supply chain volatility clustering: a machine learning approach

Shusheng Ding, Tianxiang Cui, Ruibin Bai

School of Computer Science

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	9th Multi-disciplinary International Scheduling Conference: Theory and Applications, 12-15 December 2019, Ningbo, China
Publication status	Published - 2019
Event	9th Multi-disciplinary International Scheduling Conference: Theory and Applications - Ningbo, China Duration: 12 Dec 2019 → 15 Dec 2019 Conference number: 9th

Conference

Conference	9th Multi-disciplinary International Scheduling Conference: Theory and Applications
Abbreviated title	MISTA2019
Country/Territory	China
City	Ningbo
Period	12/12/19 → 15/12/19

Cite this

@inproceedings{231d95f7055140b19fced4c9211f6cbb,

title = "Production planning based on supply chain volatility clustering: a machine learning approach",

author = "Shusheng Ding and Tianxiang Cui and Ruibin Bai",

year = "2019",

language = "English",

booktitle = "9th Multi-disciplinary International Scheduling Conference: Theory and Applications, 12-15 December 2019, Ningbo, China",

note = "9th Multi-disciplinary International Scheduling Conference: Theory and Applications , MISTA2019 ; Conference date: 12-12-2019 Through 15-12-2019",

}

TY - GEN

T1 - Production planning based on supply chain volatility clustering: a machine learning approach

AU - Ding, Shusheng

AU - Cui, Tianxiang

AU - Bai, Ruibin

N1 - Conference code: 9th

PY - 2019

Y1 - 2019

M3 - Conference contribution

BT - 9th Multi-disciplinary International Scheduling Conference: Theory and Applications, 12-15 December 2019, Ningbo, China

T2 - 9th Multi-disciplinary International Scheduling Conference: Theory and Applications

Y2 - 12 December 2019 through 15 December 2019

ER -