Publisher's Synopsis
Reactive Publishing
Applied Supply Chain Analytics: A Practical Approach with Real-World Scenarios is an essential guide for supply chain professionals, analysts, and business leaders seeking to harness the power of data-driven decision-making. This book bridges the gap between theoretical supply chain concepts and hands-on analytical techniques, offering a comprehensive yet accessible framework for optimizing supply chain performance.
The book simplifies complex supply chain analytics through real-world case studies, interactive walkthroughs, and practical tools that can be directly applied to solve industry challenges. From demand forecasting and inventory optimization to network design and risk management, every chapter focuses on actionable insights supported by data visualization and statistical models.
Key Topics Covered Include:
- Supply Chain Performance Metrics: Learn how to measure and enhance operational efficiency using key performance indicators (KPIs).
- Demand Forecasting Techniques: Explore time series models, regression analysis, and machine learning applications for accurate forecasting.
- Inventory Optimization: Apply data-driven models for just-in-time (JIT) strategies and safety stock calculations.
- Network Design and Logistics: Master distribution planning and facility location optimization with hands-on examples.
- Risk Management and Scenario Planning: Develop robust strategies for mitigating disruptions using data analytics.
Whether you're a supply chain manager, data analyst, or operations researcher, Applied Supply Chain Analytics empowers you with the analytical tools and frameworks to make smarter, data-driven supply chain decisions.
