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Statistical process control success factors and performance: An exploratory analysis

By Jafri Mohd Rohani, Sha'ri Mohd Yusof and Ismail Mohamad

Abstract

Since the introduction of ISO/TS 16949 Quality Management Systems and the deadline of automotive manufacturing compnniss to switch from QS-9000 to ISO/TS 16949 by December, 2006, the use and correct application of quality planning tools such as Statistical Process Control (SPC), Failure Mode and Effect Analysis (FI"CA) and Measurement Systems Analysis OISA) have become widespread. Among all these three tools, SPC specifically look deeply into company's own manufacturing processes for continuous quatity improvement and reducing process variability.

Topics: T Technology (General)
Year: 2009
OAI identifier: oai:eprints.uthm.edu.my:2571

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