Python and Excel for Supply Chain Analytics
Language: English
Published by Independently Published, 2025
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 38.78
Quantity: Over 20 available
Add to basketSeller Inventory # LU-9798277865699
- Title
- Python and Excel for Supply Chain Analytics
- Author
- Hayden Van Der Post
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798277865699
- Item weight
- 821 grams
- Dimensions
- 15.24 x 3.56 x 22.86 cm
Supply chains are drowning in data, yet starving for insight. This book gives you the operational edge.
Python & Excel for Supply Chain Analytics: Optimize Logistics is a hands-on, implementation-ready guide for analysts, managers, and technical professionals who want to turn raw operational data into precision decision systems. Built for real supply chain environments, this book shows you exactly how to integrate Python’s analytical power with Excel’s universal usability to engineer faster, leaner, more predictable logistics outcomes.
You will learn how to automate repetitive workflows, build optimization models, detect bottlenecks, forecast demand using statistical and machine learning methods, and construct dashboards that drive executive-level decisions. Every chapter includes runnable Python code, Excel templates, and end-to-end examples grounded in real-world SC operations such as transportation routing, inventory optimization, warehouse slotting, network design, and cost-to-serve modeling.
Whether you support one distribution center or a global network, this book teaches you to:
• Build automated Excel-Python pipelines for clean, repeatable analytics
• Create demand forecasting systems using time-series and ML models
• Perform cost-to-serve analysis across SKUs, lanes, customers, and channels
• Optimize safety stock, reorder points, and multi-echelon inventory
• Engineer transportation models, routing heuristics, and load planning tools
• Simulate warehouse workflows and identify throughput constraints
• Construct executive dashboards that unify KPIs into actionable insight
• Apply scenario planning to mitigate volatility and strengthen resilience
This is the definitive playbook for modern supply chain analytics. If you want to increase margins, reduce variability, and make data-driven decisions at scale, this book gives you the tools to build the next generation of supply chain intelligence.
"Synopsis" may belong to another edition of this title.
Rarewaves.com USA
London, London, United Kingdom
AbeBooks seller since June 11, 2025
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