[HTML][HTML] Advances and significances of nanoparticles in semiconductor applications–A review

N Hossain, MH Mobarak, MA Mimona, MA Islam… - Results in …, 2023 - Elsevier
This review paper gives an overview of recent developments in nanoparticle research and
semiconductor industry applications. Nanoparticles have become useful building blocks for …

[HTML][HTML] The flexible job shop scheduling problem: A review

S Dauzère-Pérès, J Ding, L Shen… - European Journal of …, 2024 - Elsevier
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 …

[HTML][HTML] A survey of scheduling with parallel batch (p-batch) processing

JW Fowler, L Mönch - European journal of operational research, 2022 - Elsevier
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 …

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 …

[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 …

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 …

A two-phase meta-heuristic for multiobjective flexible job shop scheduling problem with total energy consumption threshold

D Lei, M Li, L Wang - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
Flexible job shop scheduling problem (FJSP) has been extensively considered; however,
multiobjective FJSP with energy consumption threshold is seldom investigated, the goal of …

Opportunistic maintenance scheduling with deep reinforcement learning

A Valet, T Altenmüller, B Waschneck, MC May… - Journal of Manufacturing …, 2022 - Elsevier
The great complexity of advanced manufacturing processes combined with the high
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

M Calabrese, M Cimmino, F Fiume, M Manfrin… - Information, 2020 - mdpi.com
Predictive Maintenance (PdM) is a prominent strategy comprising all the operational
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

L Mönch, JW Fowler, SJ Mason - 2012 - books.google.com
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 …