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外文翻译 原文 Quality Control Material Source: Journal of Applied Statistics,2007 Author: Fah Fatt Abstract :to be competitive in the intermational market-place,modern manufactures need to pay keen attention to quality monitoring and control.In this paper,we discuss process quality monitoring,control and adjustment from a modern statistical time series analysis point of view. In particular,we show how several approaches can be reconciled. Control is a continuous endeavour to achieve process stability .This is a hard task because it requires us to undo the effects of the second law of thermal dynamics.You will recall that this law says that,left to itself,the entropy (or disoraganization)of any system must always increase or stay constant.While it is never possible to defeat the second law of thermal dynamics completely,two different techniques which achieve this approximately are process monitoring and process adjustment..Depending on circumstances,either (or,more likely,both)may be needed. By process monitoring,I mean the use of ,for example,Shewhart charts and/or Cusum or Cuscore charts (BoxRamirez,1991).These are devices for continually cheecking a model which is intended to represent the desired stable state of the system-for example NIID variation about a fixed target T.their use can lead to the elimination of assignable causes pointed to to by discrepant behavior.Process monitoring parallels hypothesis and its properties are described in terms of probabilities (for example the probability of point falling outside the 3σ limits of a Shewhart chart). Process Quality Control Objectives.Construction projects through the entire process together with procedures to be completed. The quality of each process must have to meet the corresponding requirements under the procedures of quality standards, process quality is bound to decide the quality of products. Project quality control objectives Resolvable as: personnel, materials, machinery, construction methods and constru
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