A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems - Mines Saint-Étienne
Journal Articles International Journal of Production Research Year : 2020

A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems

Domains

Operations Research [math.OC]

Stéphane Dauzère-Pérès  : Connect in order to contact the contributor

https://hal-emse.ccsd.cnrs.fr/emse-02873705

Submitted on : Thursday, June 18, 2020-2:43:35 PM

Last modification on : Tuesday, September 17, 2024-3:45:01 PM

Consult the full text

Dates and versions

emse-02873705 , version 1 (18-06-2020)

Identifiers

Cite

Cheng-Hung Wu, Fang-Yi Zhou, Chi-Kang Tsai, Cheng-Juei Yu, Stéphane Dauzère-Pérès. A deep learning approach for the dynamic dispatching of unreliable machines in re-entrant production systems. International Journal of Production Research, 2020, 58 (9), pp.2822-2840. ⟨10.1080/00207543.2020.1727041⟩. ⟨emse-02873705⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

EMSE PRES_CLERMONT CNRS SFL-ENSMSE LIMOS TDS-MACS ANR CLERMONT-AUVERGNE-INP INSTITUT-MINES-TELECOM
86 View
0 Download

Altmetric

Share

More