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Titlebook: Resource Efficiency in Manufacturing Value Chains; Stefan Alexander Blume Book 2020 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-21 19:46:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Resource Efficiency in Manufacturing Value Chains
編輯Stefan Alexander Blume
視頻videohttp://file.papertrans.cn/829/828553/828553.mp4
概述Discusses the systematic identification of hotspots, i.e., main levers to improve resource efficiency, using automated sensitivity analyses and benchmarking against reference processes.Details knowled
叢書名稱Sustainable Production, Life Cycle Engineering and Management
圖書封面Titlebook: Resource Efficiency in Manufacturing Value Chains;  Stefan Alexander Blume Book 2020 The Editor(s) (if applicable) and The Author(s), under
描述This book presents a concept for fostering resource efficient manufacturing. The protection of our environment demands a more responsible use of natural resources, and a higher degree of transparency along manufacturing value chains will be required in order to make significant advances in this context. Industrial decision makers must be provided with adequate methods and tools to simultaneously and systematically pursue technical, economic and environmental targets. Building on established and complementary methods, such as material and energy flow analysis (MEFA), value stream mapping (VSM), life cycle costing (LCC) and environmental life cycle assessment (LCA), this book introduces a concept that allows a holistic modeling and multi-dimensional performance assessment of manufacturing systems on different levels – from processes up to entire value chains and product?life cycles. It also demonstrates the application of the concept using two case studies from the metal mechanic industry.??
出版日期Book 2020
關鍵詞Resource Efficiency; Manufacturing; Value Chains; Decision Support; Sustainablility; Value Stream Mapping
版次1
doihttps://doi.org/10.1007/978-3-030-51894-3
isbn_softcover978-3-030-51896-7
isbn_ebook978-3-030-51894-3Series ISSN 2194-0541 Series E-ISSN 2194-055X
issn_series 2194-0541
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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發(fā)表于 2025-3-22 00:09:21 | 只看該作者
Introduction,In this introduction, the general need to increase resource efficiency in manufacturing value chains is outlined, substantiating the demand for adequate decision support in Sect.?.. Based on this, research questions are derived and the structure of this work is introduced in Sect.?..
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發(fā)表于 2025-3-22 00:44:28 | 只看該作者
Summary and Outlook,In this chapter, a summary of the presented concept is first provided in Sect.?.. It is then evaluated in Sect.?. with focus on criteria applied to state of the art approaches and on identified research gaps. Finally, an outlook on possible future research is given in Sect.?..
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發(fā)表于 2025-3-22 07:54:47 | 只看該作者
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發(fā)表于 2025-3-22 11:35:42 | 只看該作者
Sustainable Production, Life Cycle Engineering and Managementhttp://image.papertrans.cn/r/image/828553.jpg
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發(fā)表于 2025-3-22 18:45:48 | 只看該作者
978-3-030-51896-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-22 22:32:18 | 只看該作者
Resource Efficiency in Manufacturing Value Chains978-3-030-51894-3Series ISSN 2194-0541 Series E-ISSN 2194-055X
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發(fā)表于 2025-3-23 04:22:05 | 只看該作者
website on geospatial abduction hosted by University of Maryland. Geospatial Abduction targets practitioners working in general AI,game theory, linear programming, data mining, machine learning, and more. Those working in the fields of computer science, mathematics,geoinformation, geological and bio
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