What is Big Data? This slide shows an explanation, knowledge and extraction techniques of big data in a factory setting, to maintain and measure performance and improve productivity in your factory, therefore increasing efficiency and profit.

3. Source: OMRON

4. Source: SQLPro - Getting Started with Data Mining in SQL Server

5. Source: A world of data - SQL Data Mining Techniques
Similar product process
Identify similar cause of
quality issues
Find what was
the best
Process
adopted
among
Measured data
Organise measures depending on
The impact on production
Identify wearing parts
Find production process out of the
norm
Group production process
per types
Cluster sensor measurement
with similarity
Look at combined /
linked
measurements that
give answers on
production process
Extract production
knowledge from
measurement
paterns

6. Source: OECD - Action steps for sustainable manufacturin

7. Source: Research Gate - Data mining in manufacturing: A review based on the kind of knowledge

8. Source: Research Gate - Data mining in manufacturing: A review based on the kind of knowledge

9. Source: Harshada Gurav

10. Source: Harshada Gurav

11. Source: Harshada Gurav

12. Source: 5S News - 5 Reasons Manufacturing Businesses Should Implement 5S

13. Source: Kaizen News - Kaizen Concept

14. Source: Harshada Gurav

15. Source: Harshada Gurav

16. Source: Lean enterprise institute - Standardized Work: The Foundation for Kaizen (1 Day Class)

17. Source: Harshada Gurav
• Visual inspection defect classification
• Quality measurement classification
• Reject part number per products
• Tracking quality improvement on products

18. Source: Harshada Gurav
• Packing time
• Move time raw material, final product
• Real time and history of raw material
consumption, automatic raw material order
• Automatic freight company order when
product Is ready to be shipped

19. Source: Harshada Gurav
• Production capacity percentile
• Stored finished products vs shipped finished
products
• Stored raw material vs ordered raw material
• Real time and history of raw material

20. Source: Norhasan Bin Abdul Jamil - Lean Manufacturing & Six Sigma

21. Source: Lean Enterprise Institute - JIDOKA
• Machines use time Machine $/ product
• Labour $ / product
• Detection of time variation between
machine process
• Provides measurement clues to when and
where the time was wasted to find what
caused it and look for a solution
• What your employees could do better
rather than wait for a machine?

22. • Running hours
• Speed variation
• Cycle variation
• Air pressure variation
• Maintenance alarm
• Number of programs
Product Design time

23. Source: ThroughPut Solutions- Total Productive Maintenance (TPM)
• Running hours
• Detection of malfunctioning parts in time
with scheduled maintenance
• Save in spare part
• Increase production running time
• Speed variation • Cycle variation
• Air pressure variation
• Maintenance alarm
• Number of programs