TM0115 : Basic Data for Manufacturing and Production Management

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

This course is designed to provide delegates with a detailed and up-to-date overview of Basic Data for Manufacturing and Production Management. It covers the importance and types of manufacturing; the differences between production and operations management, role of production managers and key performance indicators (KPIs); the manufacturing processes and techniques and data in manufacturing and production; the manufacturing planning and control (MPC) including the components of MPC and the role of data in MPC; the industry 4.0, smart manufacturing and IoT; and the role of big data in manufacturing and cyber-physical systems. 

 

Further, the course will also discuss the principles of data collection and data analysis techniques, data management systems, performance measurement and metrics; the qualitative and quantitative forecasting methods, time series analysis and demand forecasting models; the importance and key components of production planning and control (PPC) and its role in supply chain management; the purpose of master production scheduling (MPS); and the steps to develop an MPS and data requirements for MPS. 

 

During this interactive course, participants will learn the material requirements planning (MRP), capacity planning and management and production scheduling techniques; the inventory management, inventory control techniques, supply chain strategies, demand management and sales and operations planning (S&OP); the warehouse and logistics management, quality management, process improvement techniques and statistical process control (SPC); the decision-making models and techniques and data for root cause analysis; and the emerging trends in manufacturing data management covering AI and machine learning, digital twins and blockchain for supply chain transparency.