2. Introduction
Competitive business landscape and the
need for efficiency and quality
Six Sigma as a methodology for
achieving these goals
Importance of Six Sigma tools in driving
organizational excellence
3. Process
Mapping
Definition and purpose of process
mapping
Visual representation of a process
Identifying bottlenecks, inefficiencies,
and improvement opportunities
Communication tool for stakeholders
4. Pareto Chart
Definition and purpose of a Pareto chart
Displaying data in descending order of frequency or
impact
Identifying and prioritizing significant issues or
causes
Effective resource allocation and addressing root
causes
5. RootCause
Analysis (RCA):
Definition and purpose of root cause analysis
Techniques: 5Whys, cause-and-effect diagrams,
FMEA
Understanding underlying causes of problems or
defects
Targeted solutions and prevention of recurrence
6. Statistical
ProcessControl
(SPC)
Definition and purpose of statistical process control
Monitoring and controlling processes within
specified limits
Control charts for analyzing trends, variations, and
out-of-control conditions
Data-driven decision-making and corrective actions
7. Design of
Experiments
(DOE)
Definition and purpose of design of experiments
Investigating and optimizing process variables and
interactions
Determining optimal combination of variables for
desired results
Time and resource savings through reduced trial and
error
8. Failure Mode
and Effects
Analysis
(FMEA)
Definition and purpose of failure mode and effects
analysis
Identifying potential failures or risks
Assessing severity, occurrence, and detectability
Prioritizing improvement efforts and mitigating risks
9. Six Sigma tools as a means to streamline processes and
improve quality
Importance of process mapping, Pareto charts, RCA, SPC,
DOE, and FMEA
Achieving operational excellence and customer
satisfaction
Cultivating a culture of data-driven decision-making and
process optimization
Conclusion
