[PDF][PDF] Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry.

B Waschneck, T Altenmüller, T Bauernhansl, A Kyek - SAMI@ iKNOW, 2016 - ceur-ws.org
In media, politics and science, Industrie 4.0, also called the fourth industrial revolution, has
become the synonym for increasing productivity in the 21st century by applying digital …

A requirements driven digital twin framework: Specification and opportunities

J Moyne, Y Qamsane, EC Balta, I Kovalenko… - Ieee …, 2020 - ieeexplore.ieee.org
Among the tenets of Smart Manufacturing (SM) or Industry 4.0 (I4. 0), digital twin (DT), which
represents the capabilities of virtual representations of components and systems, has been …

A data-driven approach to selection of critical process steps in the semiconductor manufacturing process considering missing and imbalanced data

DH Lee, JK Yang, CH Lee, KJ Kim - Journal of Manufacturing Systems, 2019 - Elsevier
Semiconductor wafers are fabricated through sequential process steps. Some process steps
have a strong relationship with wafer yield, and these are called critical process steps …

[HTML][HTML] Crafting at the nanoscale: A comprehensive review of mechanical Atomic force microscopy-based lithography methods and their evolution

L Vincenti, P Pellegrino, M Cascione, V De Matteis… - Materials & Design, 2024 - Elsevier
In recent years, the scientific community's interest in nanoscience and nanotechnology
stems from the increasing capability to manipulate matter at the nanoscale. Nanotechnology …

A general variable neighborhood search algorithm for a parallel-machine scheduling problem considering machine health conditions and preventive maintenance

X Zhang, L Chen - Computers & Operations Research, 2022 - Elsevier
In this paper, a parallel-machine scheduling problem considering machine health conditions
and preventive maintenance is studied with the objective to minimize total tardiness and …

Quality monitoring in multistage manufacturing systems by using machine learning techniques

M Ismail, NA Mostafa, A El-Assal - Journal of Intelligent Manufacturing, 2022 - Springer
Manufacturing and production processes have become more complicated and usually
consist of multiple stages to meet customers' requirements. This poses big challenges for …

Parallel machine scheduling with time constraints on machine qualifications

M Nattaf, S Dauzère-Pérès, C Yugma, CH Wu - Computers & Operations …, 2019 - Elsevier
This paper studies the scheduling of jobs of different families on parallel machines, where
not all machines are qualified (eligible) to process all job families. Originating from …

A software-defined framework for the integrated management of smart manufacturing systems

F Lopez, Y Shao, ZM Mao, J Moyne, K Barton… - Manufacturing …, 2018 - Elsevier
This paper introduces software-defined control (SDC) as a framework that enables
integrated and programmatic management of smart manufacturing systems. SDC …

Dynamic scheduling for semiconductor manufacturing systems with uncertainties using convolutional neural networks and reinforcement learning

J Liu, F Qiao, M Zou, J Zinn, Y Ma… - Complex & Intelligent …, 2022 - Springer
The dynamic scheduling problem of semiconductor manufacturing systems (SMSs) is
becoming more complicated and challenging due to internal uncertainties and external …

A lexicographic optimization approach for a bi-objective parallel-machine scheduling problem minimizing total quality loss and total tardiness

L Chen, W Yang, K Qiu, S Dauzère-Pérès - Computers & Operations …, 2023 - Elsevier
In wafer fabrication, production quality is a key performance index and is subject to machine
condition deterioration. This paper studies a parallel-machine scheduling problem that can …