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Springer Series in Advanced Manufacturing

Analytics for Smart Energy Management

Tools and Applications for Sustainable Manufacturing

Authors: Oh, Seog-Chan, Hildreth, Alfred J.

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  • 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
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-32729-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-32728-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-81356-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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.

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.

Table of contents (9 chapters)

Table of contents (9 chapters)
  • Introduction

    Pages 1-27

    Oh, Seog-Chan (et al.)

  • Energy Performance Analysis: Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DES) for Energy Performance Analysis

    Pages 29-77

    Oh, Seog-Chan (et al.)

  • Energy Decision-Making 1: Strategic Planning of Sustainable Manufacturing Projects Based on Stochastic Programming

    Pages 79-108

    Oh, Seog-Chan (et al.)

  • Energy Decision-Making 2: Demand Response Option Contract Decision Based on Stochastic Programming

    Pages 109-135

    Oh, Seog-Chan (et al.)

  • Pattern-Based Energy Consumption Analysis by Chaining Principle Component Analysis and Logistic Regression

    Pages 137-177

    Oh, Seog-Chan (et al.)

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-32729-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-32728-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-81356-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Analytics for Smart Energy Management
Book Subtitle
Tools and Applications for Sustainable Manufacturing
Authors
Series Title
Springer Series in Advanced Manufacturing
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-32729-7
DOI
10.1007/978-3-319-32729-7
Hardcover ISBN
978-3-319-32728-0
Softcover ISBN
978-3-319-81356-1
Series ISSN
1860-5168
Edition Number
1
Number of Pages
XI, 295
Number of Illustrations
21 b/w illustrations, 96 illustrations in colour
Topics