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Improved process control for the plastics industry
Author(s) -
Beauregard Michael R.
Publication year - 1993
Publication title -
journal of vinyl technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 35
eISSN - 1548-0585
pISSN - 0193-7197
DOI - 10.1002/vnl.730150105
Subject(s) - statistical process control , control chart , process capability , manufacturing engineering , process (computing) , process control , control (management) , production (economics) , computer science , quality (philosophy) , process engineering , engineering , operations management , work in process , artificial intelligence , philosophy , epistemology , economics , macroeconomics , operating system
One of the valuable tools for organizations involved in a total quality improvement effort is statistical process control (SPC). When implementing SPC in their processes, many of these organizations have equated SPC only with X & R control charts. These control charts, though important, may not be the best tool to monitor and control every process. Other charts such as an X , R w , R m control chart, which monitors the location of the process outpout, the instantaneous variation, and the process variation over time, may often be a better tool. This is especially true where manufacturing companies are processing materials in batches or using batches of materials such as in polymer production and molding.