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Titlebook: Industry 4.0 for SMEs; Challenges, Opportun Dominik T. Matt,Vladimír Modrák,Helmut Zsifkovits Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicabl

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發(fā)表于 2025-3-21 18:57:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Industry 4.0 for SMEs
副標(biāo)題Challenges, Opportun
編輯Dominik T. Matt,Vladimír Modrák,Helmut Zsifkovits
視頻videohttp://file.papertrans.cn/465/464335/464335.mp4
概述Examines how the SME 4.0 concept can be implemented.Provides a mix of research studies with best practice case studies.Provides examples of successful implementations focusing on digital solutions
圖書(shū)封面Titlebook: Industry 4.0 for SMEs; Challenges, Opportun Dominik T. Matt,Vladimír Modrák,Helmut Zsifkovits Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicabl
描述.This open access book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart manufacturing concepts, logistics solutions and managerial models specifically for SMEs. Aiming to provide methodological frameworks and pilot solutions for SMEs during their digital transformation, this innovative and timely book will be of great use to scholars researching technology management, digitization and small business, as well as practitioners within manufacturing companies..
出版日期Book‘‘‘‘‘‘‘‘ 2020
關(guān)鍵詞Digital Business; Fourth Industrial Revolution; Smart Logistics; Small to Medium Sized Enterprises; Smar
版次1
doihttps://doi.org/10.1007/978-3-030-25425-4
isbn_softcover978-3-030-25427-8
isbn_ebook978-3-030-25425-4
copyrightThe Editor(s) (if applicable) and The Author(s) 2020
The information of publication is updating

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360 brain regions in the Glasser parcellation, we observed .5% of them with significantly high heritability in fractional anisotropy, fiber length or fiber number. All the tested network level measures, capturing the network integrality, segregation or resilience, are highly heritable, with variance
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Rafael A. Rojas,Manuel A. Ruiz Garcia be used to monitor the response of skin lesions to treatments. It can help in identifying the most representative area of a lesion for biopsy, thereby increasing the diagnostic accuracy. Reflectance imaging can also be used to diagnose and monitor inflammatory skin diseases, like psoriasis and ecze
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sembly (.., .). An emerging concept is that connexon assembly is not simply a spontaneous default process but instead shows a high degree of selectivity, as evidenced by the finding that only certain types of connexins can co-oligomerize to form heteromeric connexons (.) and the ability of osteoblas
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