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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 ...
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 ...
How-to conduct a systematic literature review: A quick guide for computer science research
(Elsevier, 2022)
Performing a literature review is a critical first step in research to understanding the state-of-the-art and identifying gaps and challenges in the field. A systematic literature review is a method which sets out a series ...
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 ...
Node-RED Workflow Manager for Edge Service Orchestration
(IEEE, 2022)
Microservice Architectures have increasingly become popular in Industry 4.0 as they allow heterogeneous systems to interact, reduce the complexity in the management of individual components, and support distributed ...
Enhancing Flexibility in Industry 4.0 Workflows: A Context-Aware Component for Dynamic Service Orchestration
(Elsevier, 2024)
Manufacturing processes of the future will rely on standards for asset interoperability and service orchestration. The Asset Administration Shell (AAS) facilitates information exchange among Industry 4.0 assets, while ...
