Understanding Statistical Process Control
Training on Understanding Statistical Process Control
Course Duration: Two Days
Lead Faculty :
Dr. R. R. LAKHE, Director, SQMS
Ph.D. (Industrial Engineering) NITIE, B.E. (Mech), M.Tech.(Prod)., MBA,
Dip. Trg. & Dev., M.A. (Socio) (Pub.Admt.), Qualified ISO 9001QMS,
ISO 14001 EMS, ISO-50001 EnMS& OHSAS18001 Lead Assessor,
Master Black Belt Six Sigma
INTRODUCTION
Statistical Process Control (SPC) is a standardizing technique used for steering a process in a desired direction, reducing variation, increasing knowledge about the process, assessing process capability and providing performance benchmarks.
This program will cover all of the main elements of Statistical Process Control (SPC) and acts as an ideal introductory program to the concepts and techniques. Delegates will review the key processes of SPC and will gain an understanding of how to manage the methodology to quantify and improve the performance of key processes throughout the organisation, to reduce cost, improve operational efficiency and increase customer confidence and satisfaction.
OBJECTIVES
The main objective of SPC is to ensure that the planned process output is achieved and the related customer requirements are fulfilled. In this process control, randomly some parts are taken from the manufacturing process
and then their characteristics are measured and shown on the control charts. Statistical indicators are determined from the measurements and used to evaluate the current status of the process.If required, the process is rectified with some appropriate actions.
COURSE CONTENT
Overall Business Objectives & Outcomes
- process focus
- effect of process performance on process cost & customer satisfaction
- management of processes not just outputs
- implications of external standards e.g. ISO 9000 series & QS 9000.
Process Management Principles
- process definition
- what to control
- levels of control sensing before, during or after the event
- measuring & interpreting
- standards of performance
- exploiting improvement opportunities
- process ownership.
Overall Management Strategy for Implementation of SPC
- SPC role
- control, performance, improvement
- seven operational prerequisites
- eight step implementation guidelines.
Role & Benefits of Principle Types of Control Charts
- Shewhart & CUSUM
- measured data & attributes
- key role, special -v- common cause variation
- criteria for control
- basis for standardized performance measurement
- automatic test for significant improvement.
Measured Data Process
- choose appropriate control chart short term studies -v- ongoing monitoring
- achieve stability
- demonstrate process potential
- capability & performance indices
- minimum requirements
- performance improvement
- establish bench mark profiles.
Attribute Data Process –
- establish conformance criteria
- choose appropriate control chart
- achieve stability
- measure performance
- improve performance.
CERTIFICATE
Participants qualifying written examination shall be awarded certificate of successful completion of the course.
WHO SHOULD ATTEND
- Technical Managers
- Quality Engineering Team
- Quality Managers
- Laboratory Personnel
- Production Managers
- Quality Management Consultant
- Engineers
- Quality Control Executives
- Metrology/Standard room personnel
- S.Q.C/ SPC
- Team Students from Engineering, Management, and Science Streams.