Statistical monitoring of multi-stage processes based on engineering models

IIE Transactions (Institute of Industrial Engineers)

Volumn 40, Issue 10, 2008, Pages 957-970

  Xiang, Liming ^a   Tsung, Fugee ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

EM algorithm; Group charts; Linear state space model; Multi stage process

Indexed keywords

ARSENIC; CHLORINE COMPOUNDS; CONTROL THEORY; INDUSTRIAL ENGINEERING; MAXIMUM LIKELIHOOD ESTIMATION; MODELS; PROCESS ENGINEERING; PRODUCTION CONTROL; STAGES; STATE SPACE METHODS; STATISTICAL METHODS; TECHNOLOGY;

E-M ALGORITHMS; EM ALGORITHM; ENGINEERING MODELING; EXPONENTIAL WEIGHTED MOVING AVERAGE; FORECAST ERRORS; GROUP CHARTS; LINEAR STATE SPACE MODEL; MANUFACTURING PROCESSES; MECHANICAL LAWS; MULTI-STAGE; MULTI-STAGE PROCESS; MULTI-STREAM; PHASE I; RUN-LENGTH; STATE SPACE FORM; STATE SPACE MODEL; STATISTICAL MONITORING; WORK PIECES;

STATISTICAL PROCESS CONTROL;

EID: 49249124334     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170701880845     Document Type: Article

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