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5-tik 1-5 emaitza erakusten
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 ...
PLC orchestration automation to enhance human-machine integration in adaptive manufacturing systems
(Elsevier, 2023)
Current approaches to manufacturing must evolve to respond to increasing demands for short product life cycles and customised products. Adaptive manufacturing systems integrate advanced technologies, automation, and ...
Service design for digital servitization: Facilitating manufacturers' advanced services value proposition design in the context of Industry 4.0
(Elsevier, 2023)
Industry 4.0 provides increasing opportunities for manufacturing companies in servitization, which has led to the emergence of digital servitization. Several single case studies have suggested service design as a means to ...
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 ...
Identification and Prioritisation of Professional Transitions in Manufacturing Operations in the New Context of Industry 4.0
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
This paper examines the results from the identification and prioritisation phase of professional transitions towards the requalification of digital job operators. It was developed as part of the ‘Learning Solutions for ...