Core Tools

Core Tools is a set of tools mainly used in the automotive sector also known as PPAP, APQP, FMEA, SPC and MSA. These tools are jointly developed by Chrysler, Ford and General Motors to design, develop, prevent, measure, control, record, analyze and approve quality products and services that meet customer needs and expectations. These tools are a requirement of the IATF 16949: 2016 technical specification.

APQP Advanced Product Quality Planning

Advanced product planning is a methodology that must be kept by a manufacturer or supplier to reach a finished product. It is very important in complex projects since the methodology facilitates a lot the communication between the involved parties, whether internal departments of a corporate or clients and suppliers.

PPAP Product Part Approval Process

The purpose of PPAP is to ensure that all customer engineering records and specifications are clearly understood. Although similar to the APQP, its focus is on approving a product that has already gone through the APQP process.

FMEA Failure Mode and Effects Analysis

Provides the tools for the risk analysis in new products or processes, major changes in processes or specifications, changes in the location of functional processes

In principle, the FMEA is in charge of analyzing the possible risks of failure in products and processes. The approach is methodological, based on cause and effect diagrams, evaluation criteria, etc.

SPC Statistical Process Control

SPC is simply statistical process control with a well-defined orientation towards automotive processes. It is related to MSA especially in the long-term stability studies.

In fact, this one can be replaced by any statistical quality control but its high status issued by the AIAG makes it practically normative.

MSA Measurement Systems Analysis

The analysis of measurement systems is basically divided in two parts: the one that covers the methodological part of a measurements and calibrations laboratory and the one that is in charge of the statistical tools to assure the quality in the measurements results. MSA unifies criteria on the way in which a measurement system is accepted or presents a new measurement system, it concentrates mainly on the study and control of the variability of the measurement systems and its relation with the production processes. Among the most common MSA terms is the one of GR & R, which is basically a statistical tool that quantifies the variability of the measurement system, its sources, and its relation with the variability of the production process.

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