Core Tools

 

5 Core Tools of Quality

What is Core Tools?

Core Tools are a set of problem-solving skills required by AIAG in order to analyze and improve Quality Management System (QMS). Though there are many tools available to improve QMS, AIAG recommends the use of the below listed which form the core requirement for evaluating QMS or for problem-solving. If a company is seeking to get certification for IATF 16949, then your company has to be competent in these core tools to meet the requirements of IATF 16949.

The five basic statistical tools form the Quality Core Tools which are required to attain IATF 16949 certification. Check the below five core tools of Quality

APQP – Advance Product Quality Planning

APQP defines the process when a new product is introduced while minimizing risks. APQP is a disciplined process that is useful for suppliers to make sure if they have the capability to design products that meet the requirements of automotive customers. It is important to understand that APQP is a process and not an event. It is a structured methodology that brings customer satisfaction. The aim of APQP is to bring continual improvement and product realization. APQP comprises five phases. Register for APQP training to learn the five phases of APQP.

FMEA – Failure Mode Effects Analysis

FMEA evaluates any associated risks in system failure and comes with a plan to detect, prevent, and to avoid risks to identify potential failures in the future. This allows for a better insight for reliable quality control. There are different types of FMEAs to evaluate risks at different stages:

DFMEA – Design Failure Mode Effects Analysis

DFMEA is used to detect a potential failure in the design parts before they are assembled to create a product. A product can be recalled if a design failure is noticed, so it is important to have DFMEA in order to produce defect-free products.

PFMEA – Process Failure Mode Effects Analysis

PFMEA is used to detect potential failures in the process to design or producing parts for a product. In PFMEA, every step is carefully analyzed to identify every small activity that could possibly go wrong.

MSA – Measurement System Analysis

MSA is a process that uses statistical tools such as gage R&R to ensure if the measurement is precise. MSA makes sure if the selected measurement provides reliable results.

SPC – Statistical Process Control

SPC involves collecting measurements on manufacturing products or processes as actionable data. This data is later used to observe the levels of quality manufacturing and control processes. SPC works as a feedback system letting organizations implementing a preventive strategy in order to control the manufacturing process outputs. SPC has 4 elements. Register for SPC training to learn more about SPC in detail.

PPAP – Production Part Approval Process

PPAP is a standardized process in the aerospace and automotive sectors and helps manufacturers and suppliers to communicate and approve product design before, during and after the manufacturing of a product. There are five levels of PPAP submission that determine the PPAP requirements.

 

 

 

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