SPC Teory

Introduction and Background The concepts of Statistical Process Control (SPC) were initially developed by Dr. Walter Shewhart of Bell Laboratories in the 1920's, and were expanded upon by Dr. W. Edwards Deming, who introduced SPC to Japanese industry after WWII. After early successful adoption by Japanese firms, Statistical Process Control has now been incorporated by organizations around the world as a primary tool to improve product quality by reducing process variation. Dr. Shewhart identified two sources of process variation: Chance variation that is inherent in process, and stable over time, and Assignable, or Uncontrolled...

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Example SPC Implementation

SPC Concept > All processes vary.  > The aim of SPC is to minimise variation. > Variation is expressed in "sample standard deviations" (SD) > SD is a mathematical term, based on probability theory. Consider the process of driving a car along a dry, straight, level road. Look at your hands on the steering wheel - they move as you make slight adjustments. Q:    Why are the adjustments necessary ? A:    Because the road is not totally flat, there's some play in car's suspension, etc. If you draw a graph of the movements you will have a...

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TEORI DASAR STATISTICAL PROCESS CONTROL

Bagi kalangan praktisi di dunia industri tentunya sudah tidak asing lagi dengan terminologi-terminologi Quality yang sekarang sedang banyak sekali dipelajari dan dikembangkan oleh berbagai pihak, baik dari kalangan akademis sebagai dasar referensi teori maupun dari praktisi didunia industri sebagai subjek sekaligus objek atas “Quality knowledge” yang sekarang sedang berkembang. .fullpost { display: inline; } Salah satu metode Quality yang erat kaitannya dengan hal tersebut adalah Statistical Process Control (SPC). Secara Etimologi, Statistical Process Control 1. Process : adalah suatu kegiatan yang melibatkan penggunaan mesin...

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