Data Analytics for 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 o...
Gorde:
| Erakunde egilea: | |
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| Beste egile batzuk: | |
| Formatua: | Baliabide elektronikoa eBook |
| Hizkuntza: | ingelesa |
| Argitaratua: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edizioa: | 1st ed. 2023. |
| Saila: | Greening of Industry Networks Studies,
11 |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/978-3-031-29823-3 |
| Etiketak: |
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| Gaia: | 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. |
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| Deskribapen fisikoa: | 1 online resource (VI, 261 p. 1 illus.). |
| ISBN: | 9783031298233 |
| ISSN: | 2543-0254 ; |
| DOI: | 10.1007/978-3-031-29823-3 |