Fault-Resilient Manufacturing Scheduling with Deep Learning and Constraint Solvers
Fault-Resilient Manufacturing Scheduling with Deep Learning and Constraint Solvers
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
As edge computing environments become increasingly dynamic, the need for efficient job scheduling and proactive fault prevention is becoming paramount. In such environments, minimizing machine downtime and maintaining productivity are critical challenges. In this paper, we propose an integrated approach to scheduling optimization that combines deep...
Alternative Titles
Full title
Fault-Resilient Manufacturing Scheduling with Deep Learning and Constraint Solvers
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_001a5bc133e9480fa16c048b6c467721
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_001a5bc133e9480fa16c048b6c467721
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app15041771
