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[HTML][HTML] Advances and significances of nanoparticles in semiconductor applications–A review
This review paper gives an overview of recent developments in nanoparticle research and
semiconductor industry applications. Nanoparticles have become useful building blocks for …
semiconductor industry applications. Nanoparticles have become useful building blocks for …
[HTML][HTML] The flexible job shop scheduling problem: A review
The flexible job shop scheduling problem (FJSP) is an NP-hard combinatorial optimization
problem, which has wide applications in the real world. The complexity and relevance of the …
problem, which has wide applications in the real world. The complexity and relevance of the …
[HTML][HTML] A survey of scheduling with parallel batch (p-batch) processing
Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …
Machine learning for predictive maintenance: A multiple classifier approach
GA Susto, A Schirru, S Pampuri… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In this paper, a multiple classifier machine learning (ML) methodology for predictive
maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance …
maintenance (PdM) is presented. PdM is a prominent strategy for dealing with maintenance …
[КНИГА][B] Scheduling
ML Pinedo - 2012 - Springer
Michael L. Pinedo Theory, Algorithms, and Systems Sixth Edition Page 1 Scheduling Michael L.
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
Pinedo Theory, Algorithms, and Systems Sixth Edition Page 2 Scheduling Page 3 Michael L …
A Pareto-based two-stage evolutionary algorithm for flexible job shop scheduling problem with worker cooperation flexibility
Q Luo, Q Deng, G **e, G Gong - Robotics and Computer-Integrated …, 2023 - Elsevier
The previous studies on the flexible job shop scheduling problems (FJSP) with machine
flexibility and worker flexibility normally assume that each machine is operated by one …
flexibility and worker flexibility normally assume that each machine is operated by one …
A two-phase meta-heuristic for multiobjective flexible job shop scheduling problem with total energy consumption threshold
Flexible job shop scheduling problem (FJSP) has been extensively considered; however,
multiobjective FJSP with energy consumption threshold is seldom investigated, the goal of …
multiobjective FJSP with energy consumption threshold is seldom investigated, the goal of …
Opportunistic maintenance scheduling with deep reinforcement learning
The great complexity of advanced manufacturing processes combined with the high
investment costs for manufacturing equipment makes the integration of maintenance …
investment costs for manufacturing equipment makes the integration of maintenance …
SOPHIA: An event-based IoT and machine learning architecture for predictive maintenance in industry 4.0
Predictive Maintenance (PdM) is a prominent strategy comprising all the operational
techniques and actions required to ensure machine availability and to prevent a machine …
techniques and actions required to ensure machine availability and to prevent a machine …
[КНИГА][B] Production planning and control for semiconductor wafer fabrication facilities: modeling, analysis, and systems
Over the last fifty-plus years, the increased complexity and speed of integrated circuits have
radically changed our world. Today, semiconductor manufacturing is perhaps the most …
radically changed our world. Today, semiconductor manufacturing is perhaps the most …