Analytics in Industry 4.0
About This Course
"""This course is designed to equip participants with the basic knowledge of analytics technologies behind the digital intelligence and pervasive computing extending from factories to homes and offices in order to leverage the power of Industry 4.0 and the Smart Economy. The course will use actual use cases to cover the following:
• Servitisation, Circular Economy, Additive Manufacturing and other drivers and enablers shaping Industry 4.0 and the Smart Economy – Use Case of Managed Services
• Digital transformations brought about by the Internet of Thing (IoT) and Industrial Internet of Things (IIoT) – Use Case of Production Constraint Diagnosis
• Big Data, Cloud Computing and the Predictive and Prescriptive Analytics needed for data-driven smart decisions and process automation – Use Case of Demand and Stock Planning
• Human-machine collaborative efforts, Augmented Intelligence and the future of work and skills needed in Industry 4.0 / Smart Economy – Use Case of Smart Retail Implementation
At the end of the course, participants will be able to:
• Recognise the characteristics of advanced analytics which makes them key to Industry 4.0
• Understand the basic underlying concepts of diagnostic analytics in the analysis of factory constraints
• Understand how predictive analytics techniques such as count data regression could be used to forecast demand
• Apply basic prescriptive analytics to recommend stocking level of several products sharing WIP space
• Understand how smart systems should be designed to work with humans responsible for business outcomes
"""
What You'll Learn
• Servitization, Circular Economy, Additive Manufacturing and other drivers and enablers shaping Industry 4.0 and the Smart Economy – Use Case of Managed Services
• Smart factories and the transformations wrought by Internet of Thing (IoT) and Industrial Internet of Things (IIoT) – Use Case of Production Constraint Diagnosis
• Big Data, Cloud Computing and the Predictive and Prescriptive Analytics needed for data-driven smart decisions and process automation – Use Case of Demand and Planning
• Human-machine collaborative efforts, Artificial Intelligence and the future of work and skills needed in Industry 4.0 / Smart Economy – Use Case of Smart Retail Implementation
At the end of the course, participants will be able to:
• Recognise the characteristics of advanced analytics which makes them key to Industry 4.0
• Understand the basic underlying concepts of diagnostic analytics in the analysis of factory constraints
• Understand how predictive analytics techniques such as regression used to forecast demand
• Apply basic prescriptive analytics to recommend stocking level of several products sharing WIP space
• Understand how smart systems should be designed to work with humans responsible for business outcomes
Course URL
https://scale.nus.edu.sg/programmes/executive-courses/data-analytics/"
Entry Requirements
Basic understanding of statistics and data analysis