Results 51 to 60 of about 19,957 (260)
Digital quality management toolkit at product lifecycle stages
This article studies the processes of digitalization of the quality management system at industrial enterprises by developing and implementing specialized digital tools designed to manage quality at various stages of the product life cycle. The developed
E. K. Savich
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This paper describes our conceptual framework of closed-loop lifecycle information sharing for product-service in the Internet of Things (IoT). The framework is based on the ontology model of product-service and a type of IoT message standard, Open ...
Min-Jung Yoo +2 more
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This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Markup in Engineering Design: A Discourse
Today’s engineering companies are facing unprecedented competition in a global market place. There is now a knowledge intensive shift towards whole product lifecycle support, and collaborative environments. It has become particularly important to capture
Shaofeng Liu, Lian Ding
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Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
SIMULATION AS AN APPROPRIATE WAY OF VERIFYING THE EFFICIENCY OF PRODUCTION VARIANTS IN THE DESIGN OF PRODUCTION AND NON-PRODUCTION SYSTEMS [PDF]
The paper deals with simulation and her forms of use in designing of production and non-production systems. Points to the possibility of using software can help in planning and subsequently in other phase of the lifecycle production and products ...
Marek Kliment, Peter Trebuňa
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Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
The Role of Productization in End-To-End Traceability
End-to-end traceability offers significant opportunities for product lifecycle visibility, sustainability enhancement, and regulatory compliance in product management.
Janne Harkonen +2 more
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Engineering Microbial Particles for Next‐Generation Biomedical Platforms
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li +7 more
wiley +1 more source
An assembly oriented design and optimization approach for mechatronic system engineering
Today, companies involved in product development in the “Industry 4.0” era, need to manage all the necessary information required in the product entire lifecycle, in order to optimize as much as possible the product-process integration.
Marconnet Bertrand +3 more
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