[PDF][PDF] Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry.
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 …
become the synonym for increasing productivity in the 21st century by applying digital …
A requirements driven digital twin framework: Specification and opportunities
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 …
represents the capabilities of virtual representations of components and systems, has been …
[HTML][HTML] Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review
C Zhang, M Juraschek, C Herrmann - Journal of Manufacturing Systems, 2024 - Elsevier
Dynamic scheduling plays a pivotal role in smart manufacturing by enabling real-time
adjustments to production schedules, thereby enhancing system resilience and promoting …
adjustments to production schedules, thereby enhancing system resilience and promoting …
A data-driven approach to selection of critical process steps in the semiconductor manufacturing process considering missing and imbalanced data
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 …
have a strong relationship with wafer yield, and these are called critical process steps …
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 …
and preventive maintenance is studied with the objective to minimize total tardiness and …
Quality monitoring in multistage manufacturing systems by using machine learning techniques
Manufacturing and production processes have become more complicated and usually
consist of multiple stages to meet customers' requirements. This poses big challenges for …
consist of multiple stages to meet customers' requirements. This poses big challenges for …
Parallel machine scheduling with time constraints on machine qualifications
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 …
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
This paper introduces software-defined control (SDC) as a framework that enables
integrated and programmatic management of smart manufacturing systems. SDC …
integrated and programmatic management of smart manufacturing systems. SDC …
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 …
condition deterioration. This paper studies a parallel-machine scheduling problem that can …
Dynamic scheduling for semiconductor manufacturing systems with uncertainties using convolutional neural networks and reinforcement learning
The dynamic scheduling problem of semiconductor manufacturing systems (SMSs) is
becoming more complicated and challenging due to internal uncertainties and external …
becoming more complicated and challenging due to internal uncertainties and external …