Introduction And History Of Statistical Process Control

Introduction and History of Statistical Process Control Statistical Process Control (SPC) is a method of controlling the quality of a manufacturing process and is most often affiliated with control charts. However, SPC in reality is a group of tools and includes additional statistical and evaluation/measurement methods. Smith, Megahed, Jones†Farmer and Clark defined seven basic tools of SPC including; histograms, check sheets, Pareto charts, cause-and-effect diagrams, defect concentration diagrams, scatter diagrams and of course the aforementioned control charts (2014). These tools represent the scope and overall purpose/pursuit of SPC which is; â€Å"any statistical method designed to detect changes in a process over time† (Woodall Montgomery, 1999, p. 377). Since control charts is often the most discussed of these seven tools; it is important to note there are many different types of control charts. The main control charts include; process charts which are R-charts an d s-charts, non-conforming item charts also known as p-charts and np-charts and finally average numbers of non-conformity charts or c-charts and u-charts (Woodall Montgomery, 1999). Statistical Process Control experienced its most significant growth and expansion during the quality revolution in the 1980’s (Woodall Montgomery, 1999). It was during this time period that the focal point of quality changed from being merely acceptance or customer defined quality criteria to actual process control (Woodall Show MoreRelatedThe Evolution of Total Quality Management1630 Words   |  7 Pagesand repetitive work practices.’ The aim with the new industrial era was to produce large numbers of the same product which required processes to be put in place to control quality as it could not be left up to individuals. 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