This presentation explores a practical approach to using operational research (OR) models for enhancing supply chain efficiency and inventory management. We will discuss real-world strategies and techniques for configuring forecast and inventory constraints, optimizing network performance, and achieving a balanced inventory distribution across different scenarios. By highlighting case studies and examples, attendees will gain an understanding of how OR models can be effectively integrated into existing business processes to improve decision-making. Key takeaways will include clear insights into selecting and implementing suitable OR methodologies, understanding the trade-offs involved in inventory and speed optimization, and practical steps for successful application within their own organizations.
Experienced Data Scientist with a strong background in retail analytics, supply chain optimization, and advanced forecasting methodologies. Skilled in developing and operationalizing advanced analytical models.
