Effect of autocorrelated data on composite panel production monitoring and control: A comparison of SPC techniques
Traditional statistical process control methodology is based on a fundamental assumption that the process data are independent. A comparison is presented of traditional and non-traditional SPC methodology for controlling the effect of autocorrelated processes in production monitoring and control. Re...
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| Veröffentlicht in: | Forest products journal 2002-03, Vol.52 (3), p.60-67 |
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| creator | NOFFSINGER, John R ANDERSON, R. Bruce |
| description | Traditional statistical process control methodology is based on a fundamental assumption that the process data are independent. A comparison is presented of traditional and non-traditional SPC methodology for controlling the effect of autocorrelated processes in production monitoring and control. Results show that, for significantly autocorrelated data, the use of the autoregressive integrated moving average control chart will provide a more consistent technique for detecting assignable or special causes in the continuous production process. |
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Results show that, for significantly autocorrelated data, the use of the autoregressive integrated moving average control chart will provide a more consistent technique for detecting assignable or special causes in the continuous production process.</description><identifier>ISSN: 0015-7473</identifier><identifier>EISSN: 2376-9637</identifier><identifier>CODEN: FPJOAB</identifier><language>eng</language><publisher>Madison, WI: Forest Products Society</publisher><subject>Analysis ; Applied sciences ; Composite materials ; Control charts ; Data processing ; Exact sciences and technology ; False alarms ; Forest products industry ; Investigations ; Methodology ; Polymer industry, paints, wood ; Process controls ; Product quality ; Product testing ; Production management ; Random variables ; Statistical analysis ; Statistical process control ; Statistical significance ; Studies ; Wood products ; Wood-based materials ; Wood. Paper. 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Bruce</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of autocorrelated data on composite panel production monitoring and control: A comparison of SPC techniques</atitle><jtitle>Forest products journal</jtitle><date>2002-03-01</date><risdate>2002</risdate><volume>52</volume><issue>3</issue><spage>60</spage><epage>67</epage><pages>60-67</pages><issn>0015-7473</issn><eissn>2376-9637</eissn><coden>FPJOAB</coden><abstract>Traditional statistical process control methodology is based on a fundamental assumption that the process data are independent. A comparison is presented of traditional and non-traditional SPC methodology for controlling the effect of autocorrelated processes in production monitoring and control. Results show that, for significantly autocorrelated data, the use of the autoregressive integrated moving average control chart will provide a more consistent technique for detecting assignable or special causes in the continuous production process.</abstract><cop>Madison, WI</cop><pub>Forest Products Society</pub><tpages>8</tpages></addata></record> |
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| identifier | ISSN: 0015-7473 |
| ispartof | Forest products journal, 2002-03, Vol.52 (3), p.60-67 |
| issn | 0015-7473 2376-9637 |
| language | eng |
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| source | EBSCOhost Business Source Complete |
| subjects | Analysis Applied sciences Composite materials Control charts Data processing Exact sciences and technology False alarms Forest products industry Investigations Methodology Polymer industry, paints, wood Process controls Product quality Product testing Production management Random variables Statistical analysis Statistical process control Statistical significance Studies Wood products Wood-based materials Wood. Paper. Non wovens |
| title | Effect of autocorrelated data on composite panel production monitoring and control: A comparison of SPC techniques |
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