Com.IPM is a cloud-based software solution for managing inspection processes in accordance with VDA Volume 5.
Dynamic-QS, as an official partner of compro GmbH, provides Com.IPM implementation and technical support.
VDA Volume 5 is a guideline on measurement process conformity published by the German Association of the Automotive Industry (VDA), and is an essential quality management standard for automotive OEMs and suppliers.
Systematically implementing all requirements of VDA Volume 5.
Establish inspection plans based on part types and characteristic data. Supports manual input and data import, and guides you through all the information needed for VDA5 implementation.
Assess the risks arising from incorrect measurement decisions. Classify the severity and probability of errors as High/Medium/Low to automatically calculate risk grades.
Integrates three databases: Com.IPM's own DB, customer DB, and shared DB. Intelligently recommends optimal measurement equipment based on characteristic data.
Analyze the key components of the measurement uncertainty budget. Sum standard uncertainties using an additive measurement model and identify optimization points through graphical charts.
Verify the conformity of measurement systems and measurement processes. Results are provided in the format "measured value +/- expanded uncertainty," with statistical indicators such as Cpk analyzed.
Document data and results from each stage into summary reports. Attach additional documents such as calibration certificates and measurement concept documents, and customize templates.
Integrating measurement process management (VDA5) and SPC quality analysis into a single ecosystem.
Ensure measurement process conformity with Com.IPM,
analyze verified measurement data in real time with iNDEQS, and
elevate the quality of data-driven quality decision-making.
From Com.IPM demos to VDA5 consulting, Dynamic-QS is here to help.
Visually analyze each uncertainty component, and directly link calibration certificates and measurement concept documents to import data.
Evaluate the severity and probability of incorrect measurement decisions using a catalog-based approach to calculate risk grades.
Visually verify measurement system conformity through histograms and statistical indicators.
Systematically categorize the factors affecting the measurement process into Man, Method, Machine, Milieu, and more.
Intelligently recommend and select the optimal measurement equipment from three databases based on drawing characteristics.