What it is, when it makes sense
While Six-Sigma and Lean Management have been around for many years, new Big Data and Machine Learning possibilities have significantly boosted their potential, with new analytical tools and techniques that can be utilized to improve quality, yield, process efficiency / robustness. In our training we want to recap the basics of Lean / Six-Sigma and investigate the new opportunities coming from smart technologies in this field.
Topics
- Which are the principles of Lean Management and Six Sigma?
- How do typical examples in the chemical & process industries look like?
- Which are the traditional analytical tools utilized?
- What has changed with Big Data and Machine Learning?
- What is “computational chemistry” and which links does it have with Lean/Six-Sigma?
- Which new tools can be used, and how?
- Case examples
- Exercises
Duration
2 days
Who should attend
Role: Lean / Six-Sigma experts; business process experts; digitalization experts from the chemicals or other process industries
Industry: Chemical industry and other process industries
Company size: Large corporations, mid-sized companies
Functions: Manufacturing (including Maintenance), Product Management, Supply Chain, projects