To prosper in today’s economic climate it is essential that all quality processes are evaluated in a manner that will ensure continuous improvements in both quality and productivity. Quality professionals already understand the importance of taking action before rejects or defective items are produced, or if rectification is necessary – thus avoiding unnecessary expense and halting of production with all its inherent problems. Most quality systems also implement a safety scheme in the form of sampling schemes at the goods inward stage, as protection for the consumer. For such schemes to operate satisfactorily, and efficiently, a knowledge of the underlying principles is essential.
Properly applied statistical control can prevent problems and lead to: Continuous Improvement in product quality Improved productivity and reduced overtime Operator involvement and commitment to improving quality. Reduced rejects, Rectification, test and inspection costs Reduce the occurrences of defective goods getting past the goods inwards stage.
Statistical Process Control (SPC) is used for the purposes of process qualification, problem solving, process monitoring, and continual improvement.
SPC is applicable to a wide range of process situations, where data is used to understand and manage the performance of manufacturing and non-manufacturing processes.
SPC is one of the key ‘core tools’. ‘Core Tools’ are defined as the five supplemental techniques and methods which support the expectations of IATF 16949 (see links below):
Measurement Systems Analysis (MSA)
The above courses can be delivered individually or as a consolidated programme of training.
This course is appropriate for all personnel who are involved in the collection, analysis, auditing, and management of statistical data, including:
The delegates should understand:
On completion of the course, delegates will be a QM&T validated and certificated SPC practitioner.
Introduction to SPC
Control Charts for Variables
Control Charts for Attributes
Managing Control Charts
Process Performance and Capability
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