Resource Efficiency in Manufacturing Value Chains: Sustainable Production, Life Cycle Engineering and Management
Autor Stefan Alexander Blumeen Limba Engleză Paperback – 6 noi 2021
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Paperback (1) | 623.45 lei 43-57 zile | |
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Specificații
ISBN-13: 9783030518967
ISBN-10: 3030518965
Ilustrații: XX, 191 p. 37 illus., 28 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Sustainable Production, Life Cycle Engineering and Management
Locul publicării:Cham, Switzerland
ISBN-10: 3030518965
Ilustrații: XX, 191 p. 37 illus., 28 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Sustainable Production, Life Cycle Engineering and Management
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Resource efficiency in manufacturing value chains.- Existing holistic approaches to increase resource efficiency in manufacturing.- Concept to increase resource efficiency in manufacturing value chains.- Concept implementation.- Concept application in the metal mechanic industry.- Summary and outlook.
Textul de pe ultima copertă
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.
Caracteristici
Discusses the systematic identification of hotspots, i.e., main levers to improve resource efficiency, using automated sensitivity analyses and benchmarking against reference processes Details knowledge-based system (KBS) support in the selection of suitable situation-specific improvement measures Presents a decision-support toolbox as a user-friendly, stand-alone software tool