Data Analytics for Supply Chain Networks
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Beschreibung
The objective of the book is to adopt the application of data analytics to enhance the sustainability and resilience of the green supply chain networks. To demonstrate the applicability and usefulness of the method, the book adopts different data analytic models and approaches against the backdrop of case studies. In summary, this book attempts to address the question of methods, tools, and techniques that can be used to create resilient, anti-fragile, reliable, and invulnerable green supply chain networks.
The objective of the book is to adopt the application of data analytics to enhance the sustainability and resilience of the green supply chain networks. To demonstrate the applicability and usefulness of the method, the book adopts different data analytic models and approaches against the backdrop of case studies. In summary, this book attempts to address the question of methods, tools, and techniques that can be used to create resilient, anti-fragile, reliable, and invulnerable green supply chain networks.
Comprehends interdependency topics of the supply chain network against data analytics application's backdrop Ready to use tools and techniques assessing the supply chain industry network’ s resilience and sustainability Provides real-life case study demonstrating data analytics' efficacy and managing green supply chain issues
Autor*in
Niamat Ullah Ibne Hossain
Themen in »Data Analytics for Supply Chain Networks«
Big data Frameworks Mathematical Modelling Reliability Risk greening industry networks supply chain