COURSE OVERVIEW

This practical and highly-interactive course includes real-life case studies where participants will be engaged in a series of interactive small groups and class workshops.

This course is designed to provide participants with a detailed and up-to-date overview of Advanced Solutions Analysis. It covers the advanced solutions in manufacturing planning and types of manufacturing planning problems; the frameworks for analyzing complex systems, data gathering and preprocessing and key performance indicators (KPIs); and the optimization techniques, simulation in manufacturing planning, advanced forecasting techniques and production planning optimization models.

Further, the course will also discuss the inventory optimization techniques, demand-supply balancing strategies and decision support systems (DSS); the structured problem-solving frameworks, root cause analysis tools and Lean Six Sigma in manufacturing planning; and the process capability and variability covering Cp, Cpk, and process capability indices, sources of process variation and control limits and specification limits.

During this interactive course, participants will learn the multi-criteria decision making (MCDM), advanced Excel for solution analysis, manufacturing execution systems (MES) integration and predictive analytics for manufacturing outcomes; the AI & machine learning applications comprising of clustering for pattern discovery, neural networks for complex predictions, reinforcement learning in scheduling and AI-enabled planning systems; the cloud-based manufacturing planning tools, digital twin in manufacturing analysis and enterprise integration in planning; the advanced scheduling and sequencing techniques, risk assessment and contingency planning; and the sustainability and energy optimization, performance review and continuous improvement.