Search Results - subject:"Robust scheduling"

Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning

Grumbach, Felix; Müller, Anna; Reusch, Pascal; … - In: Journal of Intelligent Manufacturing 35 (2022) 2, pp. 667-686

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...

Persistent link: https://www.econbiz.de/10015166003

Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning

Grumbach, Felix; Müller, Anna; Reusch, Pascal; … - In: Journal of Intelligent Manufacturing 35 (2022) 2, pp. 667-686

Persistent link: https://www.econbiz.de/10015408351

Approximate and robust bounded job start scheduling for Royal Mail delivery offices

Letsios, Dimitrios; Bradley, Jeremy T.; Suraj G; … - In: Journal of scheduling : JOS 24 (2021) 2, pp. 237-258

Persistent link: https://www.econbiz.de/10012496865

Hybrid Meta-Heuristics for Robust Scheduling

Kaymak, Uzay; Dekker, Rommert; Surico, Surico, M.; … - Erasmus Research Institute of Management (ERIM), … - 2006

metaheuristic approach for robust scheduling. Our approach integrates mathematical programming, multi-objective evolutionary …

Persistent link: https://www.econbiz.de/10010731301

Hybrid Meta-Heuristics for Robust Scheduling

Kaymak, Uzay; Surico, M.; Naso, D.; Dekker, R. - Erasmus Research Institute of Management (ERIM), ERIM … - 2006

metaheuristic approach for robust scheduling. Our approach integrates mathematical programming, multi-objective evolutionary … Hybrid Meta-Heuristics for Robust Scheduling M. Surico, U. Kaymak, D. Naso and R. Dekker … process. In this paper, we propose a novel metaheuristic approach for robust scheduling. Our approach integrates mathematical …

Persistent link: https://www.econbiz.de/10005288581