Postgraduate Certificate in Demand Forecasting for Logistics
-- ViewingNowThe Postgraduate Certificate in Demand Forecasting for Logistics is a comprehensive course designed to equip learners with critical skills in demand planning and logistics management. This course is crucial in an era where accurate forecasting significantly impacts business success.
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โข Introduction to Demand Forecasting: Basics of demand forecasting, types of forecasting methods, and their importance in logistics.
โข Statistical Methods in Demand Forecasting: Time series analysis, regression analysis, and other statistical methods used in demand forecasting.
โข Quantitative Techniques for Demand Forecasting: Techniques such as exponential smoothing, moving averages, and Box-Jenkins methods.
โข Qualitative Techniques for Demand Forecasting: Methods including executive opinion, historical analogy, and buyer surveys.
โข Demand Forecasting Software and Tools: Overview of demand forecasting software, tools, and technologies.
โข Integration of Demand Forecasting with Supply Chain Management: Aligning demand forecasting with supply chain operations, inventory management, and distribution planning.
โข Monitoring and Evaluation of Demand Forecasting: Techniques for monitoring and evaluating the accuracy and effectiveness of demand forecasting methods.
โข Machine Learning and AI in Demand Forecasting: Utilizing machine learning algorithms and artificial intelligence to improve demand forecasting accuracy.
โข Demand Sensing and Real-Time Forecasting: Approaches for real-time demand forecasting and sensing, and their impact on logistics operations.
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