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The Automotive Industry Action Group (AIAG) is a non-profit association of automotive companies founded in 1982. The basis for the process control plan is described in AIAG's APQP manual [3] These include: failure mode and effects analysis (FMEA) manual; statistical process control (SPC) manual; measurement systems analysis (MSA) manual
It is a defined process for a product development system for General Motors, Ford, Chrysler and their suppliers. The purpose of APQP is "to produce a product quality plan which will support the development of a product or service that will satisfy the customer." A manual from AIAG describes the process in detail. [26]
The production control plan and quality management system will prevent non-conforming product reaching the client or compromising the safety and reliability of finished vehicles. PPAP may be required for all components and materials incorporated in the finished product, and may also be required if components are processed by external sub ...
The Automotive Industry Action Group (AIAG), a non-profit association of automotive companies, has documented a recommended measurement system analysis procedure in their MSA manual. [6] This book is part of a series of inter-related manuals the AIAG controls and publishes, including: The measurement system analysis manual [7]
Includes Requirements, Design & Development, Control of Production and Release of Products & Services; Chapter 9: Performance Evaluation; Chapter 10: Improvement; The process-oriented approach to business processes that is addressed in the ISO 9001:2015 is the base of the standard.
The manual for this methodology was documented and defined in Team Oriented Problem Solving (TOPS), first published in 1987. The manual and subsequent course material were piloted at Ford World Headquarters in Dearborn, Michigan. Ford refers to their current variant as G8D (Global 8D).
Automotive SPICE is a maturity model adapted for the automotive industry. It assesses the maturity of development processes for electronic and software-based systems (e.g., ECUs).
Statistical process control (SPC) or statistical quality control (SQC) is the application of statistical methods to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste scrap.