Statistical Process Control

The program aims to introduce the tools & techniques of SPC and the potential Quality, Cost and Delivery (QCD) benefits from developing new approaches, by reviewing the current working practices and processes of staff and tasks throughout the company. The program describes the importance and scope of undertaking successful implementation of SPC and highlights the improvements that can be realised.

The College's four-phase approach to sustainable learning encompasses initial diagnostics, customisation, delivery and continuous support.

Phase 1  Diagnostic

A business diagnostic phase with senior managers helps to identify the specific needs of the company and leads to a recommendation of company needs and preferred learning approach.

Phase 2   Strategy and Vision

Participants at senior to middle management level receive advice and guidance on SPC and its implementation. The learning approach is defined and a schedule produced. Areas within the company that have been identified for implementation of SPC are used as a measurement of the success of the program. The key performance indicators are customised for the particular company. The synergy between the business objectives, the learning activities and the key performance indicators allow for improvements in QCD.

Phase 3   Staged Workshops

The learning workshops, targeted at shop floor to middle management level staff, help support the implementation and development of SPC. The location and timing of the program is negotiated to satisfy the company's needs. The delivery team uses the key performance indicators that have been identified in order to make the learning realistic and relevant. Participants apply the learning to processes within their company with the objective of achieving improvements in these indicators.

Phase 4  Follow-up

Continuous support from the Automotive College partners before, during and after the implementation of the action plan.

Program coverage:

  • The basic tools of quality
  • Control charts for variables
  • Variation
  • Process capability
  • Further control charts