Skip to main navigation Skip to search Skip to main content

Deep Learning Enabling Digital Twin Applications in Production Scheduling: Case of Flexible Job Shop Manufacturing Environment

  • Amir Ghasemi
  • , Yavar Taheri Yeganeh
  • , Andrea Matta
  • , Kamil Erkan Kabak
  • , Cathal Heavey
  • Amsterdam University of Applied Sciences
  • Polytechnic University of Milan
  • Izmir Ekonomi University

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

Fingerprint

Dive into the research topics of 'Deep Learning Enabling Digital Twin Applications in Production Scheduling: Case of Flexible Job Shop Manufacturing Environment'. Together they form a unique fingerprint.
Sort by

Computer Science

Social Sciences