Executive Development Programme in Demand Planning with Advanced Techniques

This course is designed for senior executives and managers in supply chain and operations, looking to enhance their strategic demand planning capabilities. Participants will gain deep insights into advanced forecasting methods, demand signal detection, market trend analysis, and scenario planning, enabling them to make data-driven decisions that optimize inventory levels and improve customer satisfaction.

By the end of the program, attendees will be adept at leveraging cutting-edge technologies such as machine learning, artificial intelligence, and big data analytics to forecast demand more accurately. They will also develop a robust framework for integrating these techniques into their existing business processes, ensuring they stay ahead of market fluctuations and competitive pressures.

1. 1. Introduction to Demand Planning: Learners will explore the fundamentals of demand planning, including its importance in supply chain management and key industry trends. They will gain foundational knowledge to understand how demand planning impacts business strategies and operations.
2. 2. Demand Forecasting Techniques: This module covers various demand forecasting methods such as time series analysis, causal models, and statistical techniques. Learners will learn to select and apply appropriate forecasting models based on data characteristics and business requirements.
3. 3. Advanced Forecasting Models and Tools: Delving into more complex models like exponential smoothing, ARIMA, and machine learning algorithms, learners will develop the skills to implement advanced forecasting techniques using specialized software and tools.
4. 4. Demand Signal Resolution: Learners will study the process of extracting accurate demand signals from noisy data sources. They will learn to use data cleansing, aggregation, and transformation techniques to improve forecast accuracy.
5. 5. Demand Sensing and Real-Time Analytics: This module focuses on the use of real-time data and analytics to enhance demand planning decisions. Learners will explore how to integrate external data sources and utilize predictive analytics to respond to market changes.
6. 6. Demand Planning Software and Systems: Learners will become proficient in using leading demand planning software tools, including configuration, customization, and integration with other enterprise systems. They will understand how to optimize these systems for better performance and accuracy.
7. 7. Strategic Demand Planning: In this module, learners will learn to align demand planning with long-term business strategies and goals. They will develop skills in scenario planning and strategic forecasting to support decision-making.
8. 8. Demand Planning for International Markets: This module covers the unique challenges and opportunities in demand planning for multinational companies. Learners will learn to adapt demand planning processes to different cultural and economic environments.
9. 9. Demand Planning in Disruptive Environments: Focusing on planning in volatile and uncertain market conditions, learners will explore how to incorporate risk management and resilience strategies into demand planning processes.
10. 10. Practicum in Demand Planning: Through a hands-on project, learners will apply their knowledge and skills to a real-world demand planning scenario. They will work in teams to analyze data, develop forecasting models, and present findings to stakeholders.