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TL 9000 Measurements Auditing the Validation Process

Learn about the Validate step in the TL 9000 measurements process, key aspects verified during audits, data validation steps, inputs, process changes, and outputs. Validate data sources, customer, supplier for accurate measurements.

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TL 9000 Measurements Auditing the Validation Process

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  1. TL 9000 MeasurementsAuditing the Validation Process Jerry Wilson TL 9000 Program Manager / Lead Auditor TÜV SÜD America, Inc.

  2. Focus There are 4 basic components to the TL 9000 measurements process as shown below. Today we will focus on the Validate step and review a few of the things that are verified during an audit of this process step. • Data Sources • Customer • Supplier • Internal system

  3. Simplified Process Flow Inputs Process Validate Y Collect Analyze N Correct Data Outputs • Report to : • MRS • Organization • Customers (if required)

  4. INPUTS • The Auditor must gain an understanding of: • the product categories being reported • the inputs • What customers or suppliers provide data? • What data do they supply? • The collection methodologies for each • How do they supply it?

  5. INPUTS The Auditor must assess: the status of any ‘N/A’ or ‘Exempt’ and ensure acceptability consistency with scope of registration Example: All Common and Hardware measurements are collected if the organizations scope is H Review corrective actions if organization has previously been on ‘suspended’ or ‘probation’ status(ref: Alert 06-003A)

  6. PROCESS • Look for : • documented validation process (measurements handbook 3.5.2. a)) • responsibilities for review and approval • handling of invalid data • access to the source data is available for validation • verification that the output from any software application or spreadsheet has been verified (7.1.C.4 Tools Management) • ensure correct calculations and proper use of the counting and exclusion rules • Sample calculations, counting, and exclusion rules • Ensure that validation personnel are trained and understand the counting rules

  7. PROCESS CHANGE • Look for: • Evidence that when changes are made to software applications / spreadsheets used to consolidate the information that there is verification that the output is acceptable (7.1.C.4 Tools Management) • verify correct calculations • verify data filters are working correctly (counting rules vs. exclusions)

  8. OUTPUT • Look for : • evidence data validation occurs prior to each reporting period • acceptable DCR’s for each category • sample the summary data and comparing to DCR’s

  9. Indicators • Possible Indicators • Management Reviews show consistent poor results • DCR’s indicating zero for NPR / SPR (especially for several consecutive months) • may indicate that the linkage between the reporting method and collection system is broken • Large variations in quantities reported • Issues related to the date filters orcounting rules

  10. Thank You

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