Statistical, Quality and Resource Management Tools

Marc Helmold

Chapter Chapter 7 in Successful Management Strategies and Tools, 2021, pp 71-79 from Springer

Abstract: Abstract Statistical process control (also called statistical process control or statistical process control, SPC) is usually understood as a procedure for optimizing production and service processes on the basis of statistical methods. In the context of SPC, quality control cards are a tool for the analysis, assessment and control of manufacturing processes on a statistical basis. Using the quality control card, appropriate signals are shown in the event that a process can no longer be assessed as being controlled or capable of quality. SPC was developed by Walter A. Shewhart. The scientific basis was extensively derived and described by him in 1931 in the book Economic Control of Quality of Manufactured Product. This work was triggered by the intention of the management of the Hawthorne Plant of the Western Electric Company in Chicago to manufacture products that were as uniform and thus reliable as possible. Attempting to do this using common sense has failed. Shewhart was subsequently approached by Bell Telephone Laboratories in New York for assistance. Shewhart started from the assumption that the quality of the end product essentially depends on the combination of the variation in the parameters of the individual parts. He found two fundamentally different mechanisms as the cause of this spread:

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:mgmchp:978-3-030-77661-9_7

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DOI: 10.1007/978-3-030-77661-9_7

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