UK220#0708#10 BSOM046-Statistical Control Process.docx -...

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Report on Statistical Process ControlBy [Name]CourseInstructorInstitutionDate1 | P a g e
Part One: Literature Review on Statistical Process ControlStatistical Process Control (SPC)refers to a process-standard technique controlling, andmeasuring both the quality and process of production. Antony and Taner (2013) describe SPC asa statistical technique for controlling production processes. SPC tools and elated procedures helpproduction engineers monitor process behaviors, discover issues in internal production systems,and find solutions for the identified production issues. Woodall (2010) posits that SPC tools andprocedures monitor and control production processes, and also ensure that they operate optimallyand produce high-quality products and services. In another study, Antony, Balbontin and Taner(2011) describe SPC as a powerful statistical method that monitors, controls, analyzes, andimproves both production processes and overall performance. Notably, SPC plays central roles inreduction and sometimes elimination of variations stemming from equipment malware andoperator related errors. Based on the above definition and descriptions of SPC, this reportdeduces that SPC is a critical statistical tool that in addition to monitoring, controlling, andstabilizing the process of production, it also improves process capability by identifying andacting upon variability factors.The history of Statistical Process Control dates back to early Twentieth Century (20thCentury).In their work Veiga, Mendes, and Lourenço (2016) provide a chronological account on how ATand T Bell Laboratories engineered the inception of the concept of SPC in 1910 through aroutine inspection process that tested the quality of raw materials used in the Lab’s productionprocesses. SPC was then advanced in 1920s by W.A Shewhart, who later conducted a carefullydesigned experiment in 1939 to come with the idea of control charts as the “state-of-art”statistical process control tool (Madanhire & Mbohwa 2016). From this experiment, Shewhatfound out that some processes had natural variations which originated from the data that ws2 | P a g e
generated. On other hand other processes had uncontrolled variations that the causal systemcannot trace. The US’s military department developed several control charts such as manuals thatwere based on the historical data in the early 1940s. In the late 1940s, Bell Laboratoriesdeveloped the Statistical Process Control tools, this tools today are referred to as MIL STD(Veiga et al. 2015). Deming W.E came up with a control chart method that was used in the U.Sduring the World War II. The control charts were used to improve the quality of ammunitions andother vital weapons that were manufactured. In the later stages of World War II, StatisticalProcess Control methods were introduced and applied in the Japanese industries by Deming W.E.

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Term
Spring
Professor
MURIITHI
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