This proof-of-concept study provides a novel method for robust-stable scheduling in dynamic flow shops based on deep reinforcement learning (DRL) implemented with OpenAI frameworks. In realistic manufacturing environments, dynamic events endanger baseline schedules, which can require a cost...

In this paper, we consider hoist scheduling problems in a job shop environment. For each job several operations can be operated on tanks, and their processing times are bounded. The objective is to assign resources to both processing and transport operations and then to schedule those tasks on...