Overview
- Presents analytical tools and applications to address issues and problems arising during the process of implementing smart energy management for sustainable manufacturing
- Highlights key energy management processes, including forecasting, consumption, performance analysis, and emerging new technology identification
- Provides illustrative examples and details practical energy management systems
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Advanced Manufacturing (SSAM)
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Table of contents (9 chapters)
Keywords
About this book
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.
It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.Authors and Affiliations
About the authors
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 PhD studies, he was an IT consultant for seven years at Daewoo Information Systems in Korea. He won a Boss Kettering Award, GM’s highest award for recognizing technical inventions and innovations. He also won a Korean Prime Minister Award, TeamGM Award, GM Patent Usage Award, IEEE Appreciation Award, Best Paper Award (KIIE), First Runner-Up Award (IEEE Web Service Challenge) and etc. He holds 4 Patents filed and 45 scholary articles including 3 Books. He has served on AIAG energy working group, IEEE Cloud and SCC program committees and IJWR editorial board.
Al Hildreth, PE, CEM is the Company Energy Manager for General Motors – focusing on energy and utility budgets, metrics, benchmarking, efficiency projects, water and carbon reporting. He has worked for GM for over 30 years, including 5 years in Europe and Asia, 10 years with Saturn Corporation in Spring Hill, TN, and previously worked for a manufacturer of air pollution control equipment in R&D. He is a registered Professional Engineer, Certified Energy Manager, and a Certified Hazardous Materials Manager. He received his Bachelor of Science degree in Engineering from Oakland University and a Master’s of Science degree in Engineering from Rensselaer Polytechnic Institute.
Bibliographic Information
Book Title: Analytics for Smart Energy Management
Book Subtitle: Tools and Applications for Sustainable Manufacturing
Authors: Seog-Chan Oh, Alfred J. Hildreth
Series Title: Springer Series in Advanced Manufacturing
DOI: https://doi.org/10.1007/978-3-319-32729-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-32728-0Published: 26 April 2016
Softcover ISBN: 978-3-319-81356-1Published: 22 April 2018
eBook ISBN: 978-3-319-32729-7Published: 15 April 2016
Series ISSN: 1860-5168
Series E-ISSN: 2196-1735
Edition Number: 1
Number of Pages: XI, 295
Number of Illustrations: 21 b/w illustrations, 96 illustrations in colour
Topics: Energy Policy, Economics and Management, Engineering Economics, Organization, Logistics, Marketing, Industrial Organization, Manufacturing, Machines, Tools, Processes, Automotive Engineering, Sustainability Management