About the Course

In today’s competitive manufacturing landscape, organizations are increasingly leveraging advanced Statistical Engineering techniques such as Statistical Process Control (SPC) and Machine & Process Capability Studies to drive operational excellence. SPC has evolved with real-time data monitoring and AI-enabled analytics, enabling companies to detect variations proactively and maintain consistent product quality. Similarly, modern capability studies go beyond traditional Cp, Cpk Indices, integrating machine learning and Industry 4.0 technologies to evaluate both machine and process robustness with higher accuracy. These approaches not only ensure compliance with stringent quality standards but also support predictive decision-making, reduced rework, and optimized resource utilization, empowering industries to achieve sustainable growth.

Training Shall Broadly Cover

• Need for SPC, SPC vs Mistake Proofing
• Understanding of 7 Ms and its control, SPC an Inductive statistics understanding
• Prevention and Detection, Type I error, Type II error Risk, Meaning of numbers 3, 5, 7 in SPC
• State of statistical Control, Statistical Stability and its importance in SPC – Technique for Process control
• Construction of Histogram different situations understanding, Normal distribution, Non Normal  Distribution, Skew, Positive, Negative demonstration Exercises. Bi model, Multi model distributions
• Area under Plus minus 1 s  2s  3s and its percentages linked with Control charts x bar
• R, S chart Chi square distribution and its importance

• How to conduct Machine Capability study, Exercise, Evaluation -and Measurement study
• Point on UCL situation
• Audits on SPC, MIS, Role of Operators, Foremen, Role model SPC in shop.
• Common Mistakes in SPC, Benefits, Cpk for  Non normal distribution .eg; Rz, Circularity
• Control Charts for Multi Cavity  Dies, IX  M -R Chart when to use. Control of processes, Digital SPC station

Prerequisites

There are no formal prerequisites for attending this Training. However, it is preferred if the participant has a fair knowledge of Quality concepts.

Self-Evaluation

• Pre-Evaluation: There shall be a Pre-Evaluation for Knowledge Check, whereby we shall be able gauge the specific needs of the Participant.
• Post-Evaluation: There shall be a Post-Evaluation for Knowledge Check, whereby we shall be able to analyses the Participant has achieved the learning objectives.

Who Should Attend?

• Quality Professionals
• Process Engineers & Manufacturing Experts
• Data Analysts & Statisticians
• R&D and Product Development Teams
• Supervisors & Middle Management
• Students & Researchers

What’s Included?

• Learning Materials
• Certificate of Training (Certificate shall be issued as a ‘Soft Copy’ from our Training Portal. This certificate can be verified anytime from our website tcb.qcin.org by entering its unique ID number or scanning the QR Code.)

Enquire Now

Rohit Varshney, Project Manager, TCB/QCI, rohit.varshney@qcin.org, Ph. 9773500376