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Titlebook: Quality Innovation and Sustainability; 3rd ICQIS, Aveiro Un Jo?o Carlos de Oliveira Matias,Carina Maria Olivei Conference proceedings 2023

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書目名稱Quality Innovation and Sustainability
副標(biāo)題3rd ICQIS, Aveiro Un
編輯Jo?o Carlos de Oliveira Matias,Carina Maria Olivei
視頻videohttp://file.papertrans.cn/781/780274/780274.mp4
概述Provides solutions to complex industrial problems in sustainability, operations management and industrial engineering.Features in-depth research in the fields of quality, innovation, sustainability an
叢書名稱Springer Proceedings in Business and Economics
圖書封面Titlebook: Quality Innovation and Sustainability; 3rd ICQIS, Aveiro Un Jo?o Carlos de Oliveira Matias,Carina Maria Olivei Conference proceedings 2023
描述This book provides various approaches to complex industrial problems in sustainability, operations management and industrial engineering. It features in-depth research presented by academics, scholars, researcher and professionals at the 3.rd. International Conference on Quality Innovation and Sustainability (ICQIS) in the fields of quality, innovation, sustainability and operations management. It addresses topics such as quality management systems; Lean and Six Sigma; information systems for quality management; data management and industry 4.0; innovative solutions for quality challenges; environmental quality policies and standards; circular economy and life cycle costing; occupational health; safety and welfare in manufacturing; and smart systems, among others.
出版日期Conference proceedings 2023
關(guān)鍵詞Operations Management; Sustainability; Smart Management Systems; Lean and Six Sigma; Quality
版次1
doihttps://doi.org/10.1007/978-3-031-12914-8
isbn_softcover978-3-031-12916-2
isbn_ebook978-3-031-12914-8Series ISSN 2198-7246 Series E-ISSN 2198-7254
issn_series 2198-7246
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Springer Proceedings in Business and Economicshttp://image.papertrans.cn/q/image/780274.jpg
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Jo?o Carlos de Oliveira Matias,Carina Maria OliveiProvides solutions to complex industrial problems in sustainability, operations management and industrial engineering.Features in-depth research in the fields of quality, innovation, sustainability an
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Alfonso Redondo,Imoleayo Abraham Awodele,Angel M. Gentost in taking a purely computational approach to predict their macroscopic response. However, the obvious approach: evaluation of macroscopic, nonlinear elastic properties from direct numerical simulations (DNS) comes at a computational expense that renders it unviable for material design when a larg
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Cláudia Sousa Silva,Ana Luísa Pereirast in taking a purely computational approach to predict their macroscopic response. However, the obvious approach: evaluation of macroscopic, nonlinear elastic properties from direct numerical simulations (DNS) comes at a computational expense that renders it unviable for material design when a larg
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V. Fernandes,F. Matos,R. Godinaom the original graph to enhance supervisory signals. Specifically, we construct two contrasting views: higher-order and general views. In the higher-order view, we devise a high-order symmetric contrastive scheme to better explore higher-order dependencies. For the general view, the objective is to
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