Decision Support Systems for Sustainable Computing

Erscheinungsjahr 2024
ISBN: 978-0-443-23597-9
Verlag: Elsevier Science

Buch, Englisch, 284 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 460 g

Decision Support Systems for Sustainable Computing investigates recent technological advances in decision support systems models designed to solve real world applications. The book provides a broad overview of digital technology transformation as applied to the circular economy, which is seeking to drive improvements in scientific research, communication, logistics, automation, production, and the improved sustainability of these processes and products. The book explores applications of decision support for sustainable development across supply chain management, business intelligence, agriculture, aviation, communications, and finance.

Autoren/Hrsg.

Deveci, Muhammet

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Technische Wissenschaften Technik Allgemein Nachhaltigkeit, Grüne Technologien
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

1. An Overview of Digital Technology Implementation Driving Sustainable Development - Problems, Challenges and Opportunities
2. Digitalization and Industry 4.0 Technologies Under Circular Economy
3. Cloud Technology and Fuzzy Based Decision Support Systems Driving Sustainable Development
4. Measuring the Digital Economy Efficiency Using the FDH-Hicks-Moorsteen Productivity Technology
5. Balanced Scorecard-Based Evaluation of Digitalization and Technological Transformation Performance of Small Businesses
6. Digital Technology and ICT on the Carbon Footprint
7. Selecting a Suitable IoT Platform for Sustianbaility: A Requirement-Driven and Buli-Based Multi-Criteria Decision Making (MCDM) Model with Wisdom of Crowds
8. Digital Transformation Technologies for Sustainable Supply Chain
9. Digital Transformation for Sustainable Development of Business Intelligence Goals
10. Agriculture-Food 4.0 Supply Chain in Data Analytics and Sustainable Performance
11. Artificial Intelligence Insights into the Aviation Industry with Sustainable Development
12. Digital Finance in Circular Economy Using Decision Support Systems
13. Digital Technology for Sustainable Development of an Agricultural Region

Über Autor(innen)

Deveci, Muhammet
Dr. Muhammet Deveci is an Associate Professor at the Department of Industrial Engineering in the Turkish Naval Academy, National Defense University, Istanbul, Turkey, and he is Honorary Senior Research Fellow with the Bartlett School of Sustainable Construction, University College London, UK. Dr. Deveci is also a Visiting Professor at Royal School of Mines in the Imperial College London, London, UK. He worked as a Visiting Researcher and Postdoctoral Researcher, in 2014-2015 and 2018-2019, respectively, with the School of Computer Science, University of Nottingham, Nottingham, U.K. Dr Deveci is an outstanding researcher and has published over 240 papers in journals, as well as more than 25 contributions in International Conferences related to his areas. Dr. Deveci received the 100th-anniversary award for his worldwide scientific achievements from the Scientific and Technological Research Council of Turkey (TUBITAK).

Dr Deveci has also been engaged with the wider community providing academic service through chairing/organising conferences, streams, tutorials, reviewing papers, and acting as Editorial Board Member of journals including IEEE Transactions on Intelligent Vehicles (T-IV), IEEE Transactions on Emerging Topics in Computational Intelligence, Information Sciences, Applied Soft Computing, Engineering Applications of Artificial Intelligence, and Artificial Intelligence Review.

Dr Deveci is an internationally recognized scientist in intelligent decision support systems underpinned by computational intelligence, particularly uncertainty handling, fuzzy systems, combinatorial optimization, and multicriteria decision making. His research and development activities are multidisciplinary and lie at the interface of operational research, computer science and artificial intelligence. He has been tackling challenging real-world problems without stripping off their complexities, including climate change, renewable energy, sustainable transport, and urban mobility.