Objectives:
- Understanding of the SPC concepts.
- Ability to develop and interpret variable and attribute control charts.
- Application of process capability analysis.
- Deployment of SPC within an organization.
Learning Outcome:
Upon completion of the training, delegates will have basic knowledge of process improvement and process control tools, as well as control charts and process capability analysis.
Course Outline:
Day 1:
- Opening and introduction
- Introduction to SPC
- Process Stability & Capability
- Common Cause & Special Cause Variation
- Statistical Control.
- Data Collection Strategy
- Variable Data & Attribute Data
- Sampling Plan. Sampling Method
- Variable Control Charts
- Shewhart Control Charts (Xbar-R, Xbar-S, I-MR)
- Short Run Control Chart
Day 2:
- Recap on Key Learning Points
- Attribute Control Charts
- Defective Unit & Defect
- P, np, u, c Charts
- Control Chart Analysis
- Zone Analysis
- Pattern Analysis
- Process Capability Analysis
- Yield, Rejection Rate, Defect Per Unit
- Cp, Cpk, Pp, Ppk
- SPC Deployment
- Deployment Approach
- Key Success Factors
- Summary and Q&A Session.
Who Should Attend This Course?
This course is intended for managers, engineers, executives, and supervisors who lead or are involved in the implementation of SPC.
Pre-Requisites:
- There are no formal pre-requisites for this course.
Duration:
- This is a two-day course from 0900-1700 (Face-to-face or Remote Online Training is available upon request).
Training With Sincera Mayle Consulting Means:
- Delegates will be trained by experienced tutors who are passionate to share their knowledge.
- Reliable and trusted experts with years of hands-on experience to enhance delegates’ learning curve.
Find Out More With Us:
If want to learn more, please contact us for following training courses:
- Quality Management Systems (ISO 9001) Interpretation
- Quality Management Systems (ISO 9001) Internal Auditor
- Exemplar Global Recognized Quality Management Systems (ISO 9001) Lead Auditor
- MSA
- Project Management
- FMEA
- Root cause analysis




