Editors:
- Provides practical cases and studies successfully applying the sustainability in real life
- Includes wide array of topics from renewable energy, smart industry to home and smart devices
- Combines theoretical frameworks with the latest empirical research findings
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 333)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (19 chapters)
-
Front Matter
About this book
This book provides relevant theoretical frameworks and the latest empirical research findings in Operations Research (OR) and Management Science (MS) as applied to sustainability. Its goal is to identify and describe ways in which OR and MS have been applied to and influenced the development of sustainability. Many of the issues we face today stem from the interconnectivity of the economy, society, and the environment, and from how both the economy and society are affecting the environment. In response, there have been a range of local and global efforts to advance society without harming the natural environment. The book showcases how OR/MS can help to address these issues, specifically with regard to renewable energy, smart industry, smart cities, transportation, smart homes and devices, etc.
This book is intended for professionals in the fields of energy, engineering, information science, mathematics and economics, and for researchers who wish to develop new skills in connection with sustainability, or whose work involves sustainability.
Editors and Affiliations
-
Ingenium Research Group, University of Castilla-La Mancha, Ciudad Real, Spain
Fausto Pedro García Márquez
-
LeBow College of Business, Drexel University, Philadelphia, USA
Benjamin Lev
About the editors
Fausto Pedro Garcia Marquez is a Full Professor at the University of Castilla-La Mancha (UCLM), Spain, an Honorary Senior Research Fellow at Birmingham University, UK, and a Lecturer at the Postgraduate European Institute. He has been the principal investigator in four European projects, six national projects, and more than 150 university and corporate research projects. He holds international and national patents, and has authored more than 150 international papers. The author or editor of more than 30 books, his work has been recognized with three international awards in Engineering Management and Management Science.
Benjamin Lev is the University Trustee Professor at LeBow College of Business, Drexel University, USA. He holds a PhD in Operations Research from Case Western Reserve University, USA. Prior to joining Drexel University, he held academic and administrative positions at Temple University, the University of Michigan-Dearborn and Worcester Polytechnic Institute, USA. He is the Editor-in-Chief of OMEGA – The International Journal of Management Science, and Co-Editor-in-Chief of the International Journal of Management Science and Engineering Management. He has published more than ten books and numerous articles and organized several national and international conferences.
Bibliographic Information
Book Title: Sustainability
Book Subtitle: Cases and Studies in Using Operations Research and Management Science Methods
Editors: Fausto Pedro García Márquez, Benjamin Lev
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-3-031-16620-4
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-16619-8Published: 17 January 2023
Softcover ISBN: 978-3-031-16622-8Published: 17 January 2024
eBook ISBN: 978-3-031-16620-4Published: 16 January 2023
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: X, 451
Number of Illustrations: 1 b/w illustrations
Topics: Sustainable Development, Operations Management, Operations Research/Decision Theory, Supply Chain Management, Production, Artificial Intelligence