# Measurement System and Calibration Maturity Assessment > Source: https://netray.co/tools/measurement-system-maturity-assessment > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Free Tools ## Short answer Ten questions that score how well your calibration, MSA and gage records are controlled, with next-step advice by band. ## Category quality ## Industry Discrete Manufacturing ## Audience - Quality manager - Metrologist - Operations leader ## Tool **Kind:** assessment **Questions:** #### How is your gage and instrument master list maintained? **Options:** ##### No complete list **Score:** 0 ##### Spreadsheet maintained by one person **Score:** 1 ##### Shared system, updated at receipt and retirement **Score:** 2 ##### Integrated with ERP or QMS, audited regularly **Score:** 3 #### How do you know which gages are due for calibration? **Options:** ##### We find out when someone notices **Score:** 0 ##### Manual review of stickers or a spreadsheet **Score:** 1 ##### Scheduled report with owner notification **Score:** 2 ##### Automatic alerts and blocking of overdue gages in use **Score:** 3 #### What data do calibration certificates give you? **Options:** ##### Pass or fail only **Score:** 0 ##### As-left values only **Score:** 1 ##### As-found and as-left values **Score:** 2 ##### As-found, as-left, uncertainty and standards, stored electronically **Score:** 3 #### How do you set calibration intervals? **Options:** ##### Fixed one year for everything **Score:** 0 ##### Set by type from the manufacturer **Score:** 1 ##### Adjusted after reviewing history **Score:** 2 ##### Based on documented analysis of drift and risk **Score:** 3 #### What happens when a gage is found out of tolerance? **Options:** ##### It is adjusted and returned to use **Score:** 0 ##### Noted, but no product review **Score:** 1 ##### Documented impact review is done **Score:** 2 ##### Impact review, customer notification, and root cause trending **Score:** 3 #### How are MSA studies managed? **Options:** ##### Not done **Score:** 0 ##### Done for launches on request **Score:** 1 ##### Done for control plan gages, with criteria **Score:** 2 ##### Done, repeated on change, linked to gage records **Score:** 3 #### How do you evaluate attribute inspection (go/no-go, visual)? **Options:** ##### We rely on trained inspectors **Score:** 0 ##### Informal comparison between inspectors **Score:** 1 ##### Attribute agreement study done once **Score:** 2 ##### Regular studies with reference standards and kappa **Score:** 3 #### How is measurement uncertainty handled in your calibration decisions? **Options:** ##### Not considered **Score:** 0 ##### Rule of thumb ratio such as 4:1 **Score:** 1 ##### Uncertainty reviewed against tolerance for critical gages **Score:** 2 ##### Documented decision rule applied using uncertainty **Score:** 3 #### How are gages handled and stored? **Options:** ##### Left on benches and in toolboxes **Score:** 0 ##### Some cabinets, few controls **Score:** 1 ##### Defined storage and handling rules **Score:** 2 ##### Controlled storage, issue and return tracking **Score:** 3 #### How do you review calibration performance? **Options:** ##### We do not **Score:** 0 ##### Only before an audit **Score:** 1 ##### Quarterly on-time rate and findings **Score:** 2 ##### Monthly KPIs reviewed by management with actions **Score:** 3 **Bands:** #### Reactive **Min:** 0 **Max:** 34 **Verdict:** Calibration is mostly ad hoc and an audit would likely produce major findings. **Recommendations:** - Create a complete gage master list with unique IDs first - Start tracking due dates in one place and assign owners - Define a written out-of-tolerance procedure - Request as-found data from your calibration provider #### Basic control **Min:** 35 **Max:** 59 **Verdict:** The basics exist but they depend on individuals and are not consistently applied. **Recommendations:** - Automate overdue reporting and notify owners - Run MSA on all control plan characteristics - Introduce impact reviews for out-of-tolerance findings - Review intervals using at least two cycles of history #### Managed **Min:** 60 **Max:** 79 **Verdict:** The program is systematic. Gaps remain in analysis, integration or uncertainty use. **Recommendations:** - Link gage records to inspection plans and control plans - Adopt a documented decision rule using uncertainty - Trend out-of-tolerance by gage type and supplier - Block use of overdue gages in your shop floor system #### Optimised **Min:** 80 **Max:** 100 **Verdict:** The program is integrated and data-driven. Focus on keeping it current and efficient. **Recommendations:** - Use drift analytics to extend or shorten intervals - Review supplier calibration scope and uncertainty regularly - Share MSA results with customers proactively - Test the recall and impact process with a mock event ## Content **Intro:** This ten-question assessment scores how well your measurement system is controlled, from the gage list to MSA to the way you handle out-of-tolerance findings. It takes about five minutes and gives you a band and a short action list. **Sections:** #### How to use it **Body:** Answer based on what actually happens today, not what the procedure says. Where practice differs between sites, choose the weaker answer. The score is converted to a percentage of the maximum and mapped to one of four bands. Export the result and use it to prioritise a gap closure plan or to brief management ahead of an audit. #### What the questions test **Body:** The questions follow the lifecycle of a gage: identification, scheduling, calibration data, intervals, failure handling, studies, uncertainty, storage and review. They reflect expectations common to ISO 9001, AS9100, IATF 16949 and ISO/IEC 17025 without quoting them. A weak score on one area, such as out-of-tolerance handling, can be more serious than a moderate score overall. #### Reading the bands **Body:** Reactive and Basic control programs benefit most from a master list, due-date visibility and written procedures. Managed programs gain from integration with control plans and shop floor systems. Optimised programs should concentrate on drift analytics and testing the recall process. Use the recommendation lists as a starting point and set owners and dates. #### Limits of a self-assessment **Body:** A self-assessment reflects the opinion of whoever answers. For best results, have a second person, such as an auditor or the calibration technician, answer independently and compare. It does not replace an audit against the standard or customer requirements. **Cta:** If the assessment shows gaps in how calibration data is stored or surfaced, we can look at how your ERP and quality systems could be connected. **Faq:** #### Is this an official maturity model? **Answer:** No. It is a practical self-assessment built around common expectations for gage and calibration control. It is not issued by a standards body, and it does not certify anything. #### Who should fill it in? **Answer:** The person who runs the calibration program, ideally with a quality engineer and someone from production. Differences in answers are useful in themselves. #### How often should I repeat it? **Answer:** Once a year or after a major change such as a new site, a new ERP or a change of calibration provider. Compare the scores to see whether actions have worked. #### What score is good enough? **Answer:** That depends on your customers and risk. For aerospace, defense or automotive suppliers, aim for the Managed band or higher, with all out-of-tolerance and traceability questions at the top answers. ## Search terms calibration program maturity, measurement system assessment, metrology maturity model, calibration management assessment, msa readiness assessment, gage management self assessment, calibration program evaluation, quality measurement maturity --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json