A Deep Reinforcement Learning Framework to solve a Hybrid Flow-Shop Scheduling Problem variant: An Industrial Case Study of Machine Assembly Company

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Mateo Del Gallo, Giovanni Mazzuto, Marcos Rico, Filippo Emanuele Ciarapica
DOI: 10.2139/ssrn.6255268
Cited by: 0
References: 16

Fields of Study & Subjects

Scheduling and Optimization Algorithms Advanced Manufacturing and Logistics Optimization Healthcare Operations and Scheduling Optimization

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint