Advances in Computational Logistics and Supply Chain Analytics
This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain m...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , , , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Putanga: | 1st ed. 2024. |
| Rangatū: | Unsupervised and Semi-Supervised Learning,
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| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-50036-7 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Rārangi ihirangi:
- Introduction
- Innovative logistic techniques and Tools in Industry 4.0
- Predictive analytics for quality control of logistic processes
- Artificial intelligence systems for smart logistics in the medicine sector
- Supply-Chain Management: Automating the purchase process based on machine learning techniques
- Multi Criteria Decision Making applications in Supply Chain Management
- Consumers’ Acceptance of Drones for last-mile delivery in emerging economy
- Evaluation methods to mitigate the risks of price fluctuations on inventory in contemporary economies
- Overview of using augmented reality techniques in logistics
- Computational methods for scheduling problems
- Digitalization and automation of supply chain processes
- Reverse Logistics: Evaluation of practices in hospitals in Saudi Arabia
- Combining Global Optimization Algorithms with Live Google Maps for Solving the Vehicle Routing Problem
- Conclusion. .