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Sustainability: Cases and Studies in Using Operations Research and Management Science Methods: International Series in Operations Research & Management Science, cartea 333

Editat de Fausto Pedro García Márquez, Benjamin Lev
en Limba Engleză Hardback – 17 ian 2023
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.

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Specificații

ISBN-13: 9783031166198
ISBN-10: 3031166191
Pagini: 451
Ilustrații: X, 451 p. 1 illus. With online files/update.
Dimensiuni: 155 x 235 mm
Greutate: 0.82 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria International Series in Operations Research & Management Science

Locul publicării:Cham, Switzerland

Cuprins

Sustainability. Cases and Studies in Using Operations Research and Management Science Methods.- What is Sustainability? A Layman Perspective.- Sustainable Supply Chain Management: Definition, Bibliometrics, Applications and Future Directions.- Applications of  Machine Learning Algorithms in  Data Sciences.- The machine learning model for identifying bogus profiles in social networking sites.- Support Vector Machine and K-fold cross validation to detect false alarms in wind turbines.- A Hybrid Neural Network Model Based on Convolutional Cascade Neural Networks: An Application for Image Inspection in Production.- A multi-objective sustainable traffic signal control for smart cities under uncertainty.- Multi Criteria Decision Making for Sustainable Transport: A Case Study on Traffic Flow Prediction Using Spatial-Temporal Traffic Sequence.- A Robust Prognostic Indicator for Renewable Energy Fuel Cells: A Hybrid Data-Driven Prediction Approach.- An Assessment of Electricity Markets in Turkey: Price Mechanisms, Regulations, and Methods.- The role of DevOps in Sustainable Enterprise Development.- Practices and indicators of waste and resource management in commercial buildings.- A descriptive comprehension study on solar energy, solar products, and solar product marketing in Indian context.- Precision Livestock Farming (PLF) Systems – Improving Sustainability and Efficiency of Animal Production.- Environmental Assessment of Rural Road Construction in India.- Perspectives on the sustainable steel production process: a critical review of the carbon dioxide (CO2) to methane (CH4) conversion process.- Exergy, Anergy and Sustainability.- Simulating complex relationships between pollutants and the environment using regression splines: A case study for landfill leachate.

Notă biografică

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.


Textul de pe ultima copertă

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 skillsin connection with sustainability, or whose work involves sustainability.

Caracteristici

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