Developing a Predictive Maintenance Program - Noah Schellenberg, Tetra Pak Data Science CoE

The session will talk about the life cycle approach to building a predictive maintenance model always focusing on the value. Tetra Pak has been on a predictive maintenance journey for several years and we will walk through the steps made and lessons learned in building the program. Particularly focus will be on how Data Science experts are best deployed in PdMA projects and the PoV process.

Key Takeaways

  • Identifying the Total Opportunity
  • Driving towards the Empirical Business Case
  • Sustaining the Value
  • Lesson Learned

Comments

No comments to display.