GMW 15760 Selection Guide for Design and Product Validation

This document is used to plan the selection of parts used for Design Verification (DV), Product Verification (PV), and Post Verification Inspection (PVA) testing. The goal is to capture as many sources of design and manufacturing variation in test pieces as possible without increasing already established test sample sizes or costs. The sample selection plan derived from this guideline for DV, PV and PVA is reviewed by the GM and approved if appropriate.

GMW 15760 Applicability

The purpose of this guide is to improve the ability of a DV, PV, or PVA assessment to identify a possible cause of failure contributing to variation by strategically selecting parts to be tested containing a specific set of defined key parameters at the lower limit of specification (LSL) and upper specification limit (USL) evaluation. is to identify changes related to the production process to determine whether the surplus requirements are being met.

Key parameters are a critical property that significantly influences the ability of a component, subsystem, or feature to meet a performance requirement (eg case depth, foam stiffness, durometer, length, thickness, porosity, etc.). It shows some graphical examples of the relationship between the loss function and the variation of a characteristic within the specification. These charts show a gradual decline in customer satisfaction resulting from a characteristic value change within the specification. It depends on the understanding of the loss function and the effect of characteristic or key parameter variation on this loss function.

To verify that performance can be maintained within the acceptable range during DV, an assessment may require the inclusion of these key parameters in limits based on the Design Failure Mode and Effects Analysis (DFMEA) potential failure cause and the resulting risk priority level (RPL), a test-driven approach due to variation. background information about the event, history of parameter-related field problems, Process Failure Mode and Effects Analysis (PFMEA) and other considerations, same approach in PV, multiple sites, lines, instruments, spaces, etc. It is used by including any influence from the variation of key parameters within the specification as well as the influence of manufacturing process variables such as

GMW 15760 Warnings

The term Multi-Vari comes from the Multi-Vari Chart, a simple graphical tool used in manufacturing to identify product variances and their process-related sources. This procedure uses multivariate logic in which parts are selected non-randomly from process operations, called variation families. Upon completion of the various validation tests, the resulting test data is plotted on the multivariate graph to identify the source of nonconformities, if any.

As Eurolab laboratory, it provides the best service to you, our manufacturers, with its experienced and professional staff within the scope of all automotive standards.