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Architecture for managing AAS-based business processes
(Elsevier, 2023)
Industries frequently encounter the need to orchestrate services provided by devices as business processes. These industrial business process models need to meet Industry 4.0 (I4.0) specifications to handle unpredictable ...
Structured dataset of human-machine interactions enabling adaptive user interfaces
(Springer Nature, 2023)
This article introduces a dataset of human-machine interactions collected in a controlled and structured manner. The aim of this dataset is to provide insights into user behavior and support the development of adaptive ...
Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...
Context-aware workflow management for smart manufacturing: A literature review of semantic web-based approaches
(Elsevier, 2023)
Smart Manufacturing Systems (SMS) are software systems that identify opportunities for automating manufacturing operations by using Internet of Things (IoT) devices and services connected to machines. An active challenge ...
Investigation of Microservice-Based Workflow Management Solutions for Industrial Automation
(MDPI, 2023)
In an era ruled by data and information, engineers need new tools to cope with the increased complexity of industrial operations. New architectural models for industry enable open communication environments, where workflows ...
Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces
(ACM, 2023)
Human-machine interfaces (HMI) facilitate communication between humans and machines, and their importance has increased in modern technology. However, traditional HMIs are often static and do not adapt to individual user ...
Monitorización de estado de la herramienta en mecanizado mediante redes neuronales residuales robustas
(Cluster for Advanced & Digital Manufacturing, 2023)
La monitorización del estado de la herramienta (TCM) tiene como objetivo mejorar la eficiencia del proceso, la calidad y los costos de mantenimiento de las herramientas mediante la supervisión de variables críticas como ...
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)
For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ...
Towards an Advanced Artificial Intelligence Architecture through Asset Administration Shell and Industrial Data Spaces
(2023)
This article develops an architecture for the implementation of Artificial Intelligence in the manufacturing value chain based on standard technologies and data spaces. The standards considered are IEC 63278 “Asset ...
