Circular Economy Supply Chains
Optimizing via Data Science
Springer
ISBN 9789819679041
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2025
11 s/w-Abbildungen, 38 Farbabbildungen.
In englischer Sprache
Umfang: x, 256 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 9789819679041
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Computational Intelligence Methods and Applications
Produktbeschreibung
To achieve these ambitious goals, the circular economy leverages cutting edge technologies such as operations research and data science. These tools empower businesses by constructing decision support systems that effectively handle complex environmental and economic constraints. Operational research helps in optimizing resource allocation, production processes, and logistics, while data science provides insights through data analysis and predictive modeling.
This book aims to detail the application of operations research and data science methods as decision support systems to manage complex constraints. This book presents the most recent advancements and real-world applications of these methods within the framework of supply chain management in the circular economy. Additionally, it explores case studies that highlight successful implementations and the benefits achieved. The book offers comprehensive insights and practical applications, serving as a valuable guide for students, researchers, and professionals looking to drive sustainability in their organizations and communities.
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