Author

Jonathan Tsetimi

0 works0 citationsORCID

Recent research

Engineering & TechnologyOpen access
A SETUP-AWARE DEEP REINFORCEMENT LEARNING FRAMEWORK FOR SINGLE-MACHINE SCHEDULING WITH SEQUENCE-DEPENDENT SETUP TIMES USING PROXIMAL POLICY OPTIMIZATION (PPO)
The Single-Machine Scheduling Problem with Sequence-Dependent Setup Times (SMSP-SDST) is a classical NP-hard combinatorial optimization problem encountered in intelligent manufacturing, production planning, semiconductor processing, logistics, and adaptive production systems. Con...
Zenodo (CERN European Organization for Nuclear Research)2026-09-040 citationsDOI
Engineering & TechnologyOpen access
A SETUP-AWARE DEEP REINFORCEMENT LEARNING FRAMEWORK FOR SINGLE-MACHINE SCHEDULING WITH SEQUENCE-DEPENDENT SETUP TIMES USING PROXIMAL POLICY OPTIMIZATION (PPO)
The Single-Machine Scheduling Problem with Sequence-Dependent Setup Times (SMSP-SDST) is a classical NP-hard combinatorial optimization problem encountered in intelligent manufacturing, production planning, semiconductor processing, logistics, and adaptive production systems. Con...
Zenodo (CERN European Organization for Nuclear Research)2026-09-040 citationsDOI