Statistical Process Control
Statistical Process Control (SPC) refers to: ‘Activities focused on the use of statistical techniques to reduce variation, increase knowledge about the process, and steer the process in the desired way. SPC operates most efficiently by controlling variation of a process characteristic or an in-process product characteristic that is correlated with a final product characteristic and/or by increasing the robustness of the process against this variation. A supplier’s final product characteristic can be a process characteristic to the next downstream supplier’s process.’
Ref “Statistics - Vocabulary and symbols - Part 2: Applied statistics,” International Organization for Standardization, ISO 3534-2, 2006.
[edit] Related articles on Designing Buildings Wiki
- Advanced product quality planning.
- Bill of quantities breakdown structures.
- Construction Innovation Hub.
- Construction product approval process.
- Construction quality planning.
- Plan, Do, Check, Act (PDCA).
- Poka-yoke.
- Product Breakdown Structure.
- Product design requirements.
- Product validation.
- Production readiness review.
- Project quality plan.
- Quality control.
- Quality in construction projects.
- Quality.
- Six Sigma.
Featured articles
Check out some of the best features and news from Designing Buildings as well as key stories from around the web.
CIAT calls for retrofit to be a priority.
Version 6 is now available, along with guidance for ECA members.
Post-War Homes: mid-century British architecture. Book review.
CIAT reflects on the party conferences.
CIOB announce the winners of the Art of Building photography competition.
National Scheme of Delegation introduced.
The cost of employing people remains a concern.
Code of Practice for Electrical Energy Storage Systems.
ECA calls on members to comment on draft 4th edition.
Bringing together expertise and creating cultural benefits.
CIOB celebrates positive Ofsted report.
The Building Safety Regulator announces a call for evidence.
Government approach could undermine delivery and regeneration.