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Analytics for Smart Energy Management: Tools and Applications for Sustainable Manufacturing
Seog-Chan Oh
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Description for Analytics for Smart Energy Management: Tools and Applications for Sustainable Manufacturing
Hardback. Series: Springer Series in Advanced Manufacturing. Num Pages: 306 pages, 21 black & white illustrations, 96 colour illustrations, 40 colour tables, biography. BIC Classification: KJJ; KNDR; THT; TRC. Category: (G) General (US: Trade). Dimension: 165 x 242 x 25. Weight in Grams: 630.
This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. ... Read more
This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2016
Series
Springer Series in Advanced Manufacturing
Condition
New
Weight
629g
Number of Pages
295
Place of Publication
Cham, Switzerland
ISBN
9783319327280
SKU
V9783319327280
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Seog-Chan Oh
Seog-Chan Oh, PhD is a senior researcher at the General Motors Research and Development Center, Warren, MI since 2007 where he has been developing analytical models for improvement in sustainable manufacturing. He has strong functional expertise in Operations Research and Advanced Statistics. He received the PhD degree in Industrial Engineering from Pennsylvania State University in 2006. Before he began his ... Read more
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