Lean Six Sigma is a methodology that uses data analytics to solve complex problems and seeks to correlate problems to their causes. Artificial intelligence can accelerate Lean Six Sigma projects in profound and novel ways. The document discusses how AI and neural networks take inspiration from the human brain to learn without being explicitly programmed. It also outlines 10 metrics for Lean Six Sigma, including using AI for data mining, improving cash flow and labor efficiency, reducing scrap costs and setup times, and improving employee morale, EBITDA, inventory turns, cycle times, and on-time delivery.

1. Lean Six-Sigma In
The Age Of AI
Fiza Irfan
17581556-020
BS-IT 17-A

2. CONTANTS
1. What is six-sigma?
2. Lean Six-Sigma In The Age Of A
3. THE BRAIN: INSPIRATION FOR THE NEURAL NETWORK AND
DEEP LEARNING
4. AI and LSS
5. NEURAL NETWORK
6. The Ten Lean Six Sigma Metrics

3. What is six-sigma?
Six Sigma is a method that provides organizations tools to
improve the capability of their business processes. This increase
in performance and decrease in process variation helps lead to
defect reduction and improvement in profits, employee morale,
and quality of products or services.

4. Lean Six-Sigma In The Age Of AI
Michael L. George, Sr., shows how to harness
the power of the technology that promises
changing everything as we know it Artificial
Intelligence to enhance any LSS
management program.

5. AI in LSS
Lean Six Sigma (LSS) is a methodology used to solve
complicated problems with data analytics that seek to correlate a
problem and its many possible causes. AI can accelerate a LSS
project in a number of profound (in depth) and novel ways.

6. Lean Methodology
What is Lean?
Lean is a systematic approach to reduce or eliminate activities
that don't add value to the process. It emphasizes removing
wasteful steps in a process and taking the only value-added
steps. The Lean method ensures high quality and customer
satisfaction.

7. THE BRAIN: INSPIRATION FOR THE NEURAL NETWORK
AND DEEP LEARNING
The brain has a learning algorithm, whether it is to see, hear, etc. The
accompanying graphic depicts a comparison between the human brain and
Neural Network Deep Learning. Neural Networks can be used to minimize
the cost and cycle time of Job Shop Manufacturing, product development,
etc. Neural Networks accomplish this using “Deep Learning” . . . the process
that gives computers the ability to learn without being explicitly programmed.

8. NEURAL NETWORK
Neural networks are a series of
algorithms that mimic the operations of a
human brain to recognize relationships
between vast amounts of data. They are
used in a variety of applications in
financial services, from forecasting and
marketing research to fraud detection
and risk assessment.

10. Process
“A process is set of activities, which converts inputs into outputs
using resources.

12. The Ten Lean Six Sigma Metrics
1. Management team: Obtain management team’s engagement
in process improvement. Team members must actively engage in
project selection and progress reviews.
2. AI data mining: Remove outliers using interquartile analysis.
Create a Big Data spreadsheet that provides all accounting cost
detail.

13. 3. Cash flow improvement: Increase to 20% of revenue
using Pull systems.
4. Labor efficiency: Measure actual labor cost vs.
verified and corrected accounting standards; react daily
to adverse cost variances. Investigate outlier data source
and correct.
5. Scrap cost: Reduce from 10% to less than 3% of
revenue.

14. 6. Total Productive Maintenance: Increase machine “up time” from
88% to 99%.
7. Setup time reduction: Reduce the waste due to setup time by
greater than 25%.
8. Employee morale: Reduce negative perception of company from
62% to less than 5%.
Engage all employees in process improvement activities.
9. EBITDA: Increase from –3.6% to +20% of revenue.
10. Work-in-process inventory turns: Increase by 50%. Reduce
cycle time by 50% and improve on-time delivery to more than 90%.

15. 9. EBITDA: Increase from –3.6% to +20% of revenue.
10. Work-in-process inventory turns: Increase by 50%.
Reduce cycle time by 50% and improve on-time delivery to more
than 90%.

16. THANK YOU