DocumentCode :
274652
Title :
Reducing variation in the process industries
Author :
Wetherill, G. Barrie ; Rowlands, R.J.
Author_Institution :
Ind. Stat. Res. Unit., Newcastle-upon-Tyne Univ, UK
fYear :
1991
fDate :
25-28 Mar 1991
Firstpage :
693
Abstract :
Engineering control systems continually adjust processes online in order to counteract the effects of disturbances which, if uncorrected, would cause output to deviate ever further from target. Statistical process control (SPC) seeks to reduce this variation to an acceptable level by identifying the causes of extraneous disturbances so that they can be removed by appropriate online or offline action. If it is uneconomic or impossible to eliminate the cause of a particular type of disturbance then the production system should be modified so as to mitigate its effect
Keywords :
manufacturing data processing; production control; statistical process control; correlation structure; disturbance variation reduction; process data; process industries; production system; statistical process control;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Control 1991. Control '91., International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-509-5
Type :
conf
Filename :
98532
Link To Document :
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