Statistical process control (SPC) is the application of statistical methods to the monitoring and control of a process to ensure that it operates at its full potential to produce conforming product. Under SPC, a process behaves predictably to produce as much conforming product as possible with the least possible waste.
While SPC has been applied most frequently to controlling manufacturing lines, it applies equally well to any process with a measurable output. Key tools in SPC are control charts, a focus on continuous improvement and designed experiments.
Management Representatives, Department Heads, Managers, Supervisors, Engineers, Chemist, Line Leader, Executives for manufacturing, Quality Assurance, and those involved in product improvement.
At the end of the course, participants are expected to:
Participants will be provided with a certificate of attendance at the end of the course.
Theory discussion, group exercises, workshops usually base on participants' organization information, individual problem analysis and reporting.
Background of SPC
Prevention versus detection
Common and special causes of variation
Control charts for variable data
X-bar and R charts
Individual and moving range charts
Process capability studies – Ppk / Cpk
Examples of SPC
Control charts for attribute data
Attribute charts: - proportion nonconforming (p) charts and nonconformities (c) charts & Process stability
Process capability analysis
Workshop & Presentation
SBL full payment. Crossed check is to be payable to ASCENDENT TECHNOLOGY SDN BHD. Admittance will be permitted upon receipt of full payment 2 weeks before the course is conducted.
Ascendent Consultancy reserves the right to cancel or postpone due to unforeseen circumstances. The course fee, less 50% for cancellation, will be promptly refunded for cancellations received in writing at least seven (7) working days before the course. No refunds shall be made after this period.