

So what are the Core Tools and why are they important? According to Mark Lindsey, QCTS Instructor & CSSBB, CMQ/OE, CQE, CQA, the AIAG Core Tools, which has been in existence since the 1990’s, are key elements of an effective and efficient quality management system to meet your customer’s needs and expectations. They include the Advanced Product Quality Planning & Control Plan (APQP), Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC), Measurement System Analysis (MSA), and Production Part Approval Process (PPAP).
Many automotive OEMs and their suppliers require use of the Core Tools as part of the IATF 16949. These tools have also been successfully implemented by other industries (i.e. General Manufacturing – ISO 9001, Aerospace/Defense – AS 9100, Medical – ISO 13845, Telecommunications- TL 9000, etc.). This integrates well to create a synergy within existing Quality Management Systems (QMS), Continuous Improvement, Six Sigma and Lean efforts.
Professionals that benefit from training in the Core Tools include those in Project Management, Engineering, Manufacturing, Quality Assurance, etc. Teams that have these competencies can successfully manage their key processes. This provides confidence to their leadership and customers that they have the expertise and ability to satisfy their needs. This includes sustaining operations while managing risks and continuous improvements to remain competitive.
Advanced Product Quality Planning (APQP) and Control Plans serve as a Project Management approach to reduce the complexity of product quality planning for customers and suppliers to meet performance, schedule, and cost requirements.
The new AIAG & VDA Failure Mode & Effects Analysis (FMEA) Manual was developed by a global team of OEM and Tier 1 supplier subject matter experts. Design, Process, and MSR FMEAs are an analytical methodology for analyzing the system and function from both a product and process perspective; and managing risks associated with it to avoid failures. What are the elements?
Quality guru Dr. W. Edwards Deming stated, “Treat all Data with Caution”. This includes the collection of data, its analysis, and providing reliable actionable information. Measurement Systems Analysis (MSA) is key to determine how much variation you actually have with the product and how much is due to the measurement system. Placing controls and making improvements with the equipment and operators will reduce uncertainty (i.e. measurement error) and increase your confidence in making robust decisions on the process and product quality. It is also important to know the capability of your measurement system before you attempt to control and improve your manufacturing processes to meet the process and product requirements.
Statistical Process Control (SPC) was first implemented by manufacturers in the 1930s for monitoring and analyzing process to determine if it is in control and correctly determining if variation is due to special cause (i.e. abnormal behavior) or common cause (inherent behavior due to the design of the system).
By identifying and eliminating sources of special cause variation, your process will have predictable performance and you will be able to determine the Process Capabilities (i.e. Cpk) to meet requirements. If needed, you will be able to improve the inherent capabilities (i.e. use DOE to reduce common cause variation) to meet your requirements. This is important as many customers expect a Cpk ≥ 1.33 and some have raised the bar to a Cpk ≥ 1.67.
Production Part Approval Process (PPAP) is used to ensure requirements have been met with supporting objective evidence to obtain approval for production and to obtain approval for significant changes/modifications. Use of this process between the Customer and Suppliers along with the APQP reduces delays, non-conformances, and other issues during part approval and provides confidence in the ability to consistently deliver quality parts on time and within cost constraints.











