Executive Development Programme in Demand Planning and Forecasting Essentials

This course is designed for executives and senior managers with responsibility for demand planning and forecasting. It provides a deep understanding of the strategic importance of accurate demand forecasting and the tools to enhance decision-making processes. Participants will gain insights into advanced forecasting techniques, the impact of market trends, and how to integrate demand planning into corporate strategy.

Attendees will learn to develop and implement effective demand planning strategies, align forecasting with business goals, and leverage data analytics to drive growth. The course equips executives with the knowledge to lead their teams towards better resource allocation and improved customer satisfaction.

1. 1. Introduction to Demand Planning and Forecasting: Learners will understand the importance of demand planning and forecasting in supply chain management. They will gain foundational knowledge on terminology, key principles, and the role of forecasting in business strategy.
2. 2. Data Collection and Analysis Techniques: This module will cover methods for collecting and analyzing historical data. Learners will learn how to use statistical techniques to identify trends and patterns essential for accurate forecasting.
3. 3. Demand Signal Recognition: Introduces learners to demand signal recognition (DSR) techniques. They will learn how to interpret demand signals and use them to improve forecasting accuracy and responsiveness.
4. 4. Time Series Forecasting Methods: Learners will study various time series forecasting methods, including moving averages, exponential smoothing, and trend analysis. Practical skills in using software tools for implementing these methods will be developed.
5. 5. Seasonality and Cyclical Patterns: This module focuses on identifying and managing seasonal and cyclical variations in demand. Learners will learn how to incorporate these patterns into forecasting models.
6. 6. Advanced Forecasting Models: Covers more sophisticated forecasting models, including ARIMA, seasonal decomposition, and machine learning techniques. Practical exercises will help learners apply these models to real-world scenarios.
7. 7. Demand Planning Strategies and Tools: Introduces learners to different demand planning strategies and the tools used in the planning process. They will learn how to select appropriate strategies based on business needs.
8. 8. Collaboration and Communication in Demand Planning: This module emphasizes the importance of effective collaboration and communication within and outside the organization. Learners will develop skills in stakeholder management and information sharing.
9. 9. Demand Sensing and Rapid Response: Focuses on demand sensing techniques and strategies for rapid response to changes in market conditions. Learners will practice using demand sensing tools and developing responsive planning strategies.
10. 10. Performance Metrics and Continuous Improvement: Learners will study key performance indicators (KPIs) used in demand planning and forecasting. They will also learn how to continuously improve forecasting accuracy and planning processes.