Advanced Analyticsfor Packaging MachinesMilano, 13th October 2017
DS/2017-09-20
Public
► Technology Specialist in Tetra Pak,
Area of Mechatronics and Condition Monitoring
20 years experience in Tetra Pak in Packaging Technology
► Contract professor at Mechatronics Dep. in UniMoRe since 2002
Davide Borghi
Agenda
► Tetra Pak Data Science activities within the Digital Program.
► Analytical tools.
► Combination of knowledge in data science and engineering
knowledge.
DS/2017-09-20
Public
/ 3
11.4B 24K 188B 170
105KEquipment
9000Lines
Tetra Pak
► Digital transformation of Service Business
► Serving our customers even better, solving their problems
► Predict and prevent breakdowns
► Develop and implement capability to deliver digital services in
general, and within condition monitoring in particular
BI Challenge
Reduction of unplanned stops and waste
Initials/YYYY-MM-DD
Security Level
/ 9
Condition Monitoring in Tetra Pak Plant Care
Reduce Waste
Increase machine
uptime
Customer Value
proposition
Delivery model
On Site Enginer
& TKAM
Minimise waste cost caused by
unplanned stops
Minimise consequential time
losses e.g. spareparts not in
stock at breakdown
CM Kit owned by Tetra Pak
Alerts & Insights delivered
Through ”On Site Engineer”
and / or the TKAM
Alerts and Insights based on real-time data from CM & PLMS…
PMC delivery model creating additional customer value
Tetra Pak
Performance Management Centre
Tetra Pak Field work force
Data from Tetra Pak Packaging Line @ customer
Restricted
HW/2016-12-08
Alerts and Insights
► Before:
− Distributed data sources
− Customised applications
► After:
− IoT Logger
− Azure cloud solution
− Power BI
► Data Sources
− Equipment process data
− Performance data
− Issues data
− Quality data
− Sales data
► Fully configurable from back office
− Can change logging conditions remotely
− Can deploy edge analytics remotely
BI Solution
Functions enabled by Condition Monitoring KIT
600 IO’s from PLC
#12 Servo motors
Jaw system
Sterile system
Critical processes
e.g CIP
Cutting knife
Utilities /
Compressed air
Utilities /
Electrical
Power
Tetra Pak Services June 2016
Utilities /
Cooling water temp
SealingNEW!
DS/2017-09-20
Public
/ 13
DATA SCIENCE
Three pillars of Data Science
DS/2017-09-20
Public
/ 14
Analytics Processes Resources Analytics Platform
Analytical Platform Architecture
DS/2017-09-20
Public
/ 16