[HTML][HTML] A review of optimization models and applications in robotic manufacturing systems: Industry 4.0 and beyond
B Vaisi - Decision analytics journal, 2022 - Elsevier
In this review paper, recent developments in robotic problems are cited. A robotic
manufacturing system includes at least a robot-as a material handling device-, a co-worker …
manufacturing system includes at least a robot-as a material handling device-, a co-worker …
Contributions to the design and analysis of cellular manufacturing systems
RG Askin - International Journal of Production Research, 2013 - Taylor & Francis
The application of group technology concepts to the design and operation of manufacturing
cells has had a major impact on improving the performance of multiproduct, moderate …
cells has had a major impact on improving the performance of multiproduct, moderate …
Reinforcement learning for robotic flow shop scheduling with processing time variations
We address a robotic flow shop scheduling problem where two part types are processed on
each given set of dedicated machines. A single robot moving on a fixed rail transports one …
each given set of dedicated machines. A single robot moving on a fixed rail transports one …
Joint production and transportation scheduling in flexible manufacturing systems
DBMM Fontes, SM Homayouni - Journal of Global Optimization, 2019 - Springer
This work proposes an integrated formulation for the joint production and transportation
scheduling problem in flexible manufacturing environments. In this type of systems, parts …
scheduling problem in flexible manufacturing environments. In this type of systems, parts …
Scheduling of dual-gripper robotic cells with reinforcement learning
A dual-gripper robotic cell consists of multiple processing machines and one material
handling robot, which can perform an unloading or a loading task one at a time but can hold …
handling robot, which can perform an unloading or a loading task one at a time but can hold …
Noncyclic scheduling for timed discrete-event systems with application to single-armed cluster tools using Pareto-optimal optimization
Recently, semiconductor manufacturing fabs tend to reduce the wafer lot size, down to just a
few. Consequently, the wafer recipe or wafer flow pattern changes frequently. For such …
few. Consequently, the wafer recipe or wafer flow pattern changes frequently. For such …
A dynamic scheduling approach for optimizing the material handling operations in a robotic cell
This paper investigates a real-time dynamic job-shop scheduling problem in a robotic cell, in
which multiple jobs enter into the cell with unexpected arriving rates. Different from classical …
which multiple jobs enter into the cell with unexpected arriving rates. Different from classical …
Batch versus cyclic scheduling of flexible flow shops by mixed-integer programming
T Sawik - International Journal of Production Research, 2012 - Taylor & Francis
New mixed-integer programming models are proposed for deterministic batch or cyclic
scheduling in flow shops with parallel machines and finite in-process buffers. Models for …
scheduling in flow shops with parallel machines and finite in-process buffers. Models for …
Robust optimization for the cyclic hoist scheduling problem
This paper deals with the robust optimization for the cyclic hoist scheduling problem with
processing time window constraints. The robustness of a cyclic hoist schedule is defined as …
processing time window constraints. The robustness of a cyclic hoist schedule is defined as …
Flexible robotic cell scheduling with graph neural network based deep reinforcement learning
D Wang, S Liu, J Zou, W Qiao, S Jin - Journal of Manufacturing Systems, 2025 - Elsevier
Flexible robotic cells are pivotal in flexible and customized manufacturing. An effective
scheduling policy for such cells can significantly reduce the makespan and improve the …
scheduling policy for such cells can significantly reduce the makespan and improve the …