scholarly journals Robust profile monitoring for phase II analysis via residuals

2021 ◽  
Author(s):  
Sara H. Nassar ◽  
Abdel‐Salam G. Abdel‐Salam
Keyword(s):  
Phase Ii ◽  
Profile Monitoring ◽  
Phase Ii Analysis

A new model to monitor very small effects of a polynomial profile

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Karim Atashgar ◽  
Leila Abbassi
Keyword(s):  
Phase Ii ◽  
Average Run Length ◽  
New Method ◽  
Profile Monitoring ◽  
Statistical Process ◽  
Small Shift ◽  
Content Type ◽  
Proposed Model ◽  
Product Profile ◽  
Small Change

PurposeDifferent real cases indicate that the quality of a process is better monitored by a functional relationship rather than the traditional statistical process control (SPC) methods. This approach is referred to as profile monitoring. A serious objective in profile monitoring is the sensitivity of a model to very small changes of the process. The rapid progress of the precision manufacturing also indicates the importance of identifying very small shift types of a process/product profile curve. This sensitivity allows one to identify the fault of a process sooner compared to the case of lack of the capability.Design/methodology/approachThis paper proposed a new method to monitor very small shift types of a polynomial profile for phase II of the SPC. The proposed method was named as MGWMA-PF. The performance capability of the proposed approach was evaluated through several numerical examples. A real case study was also used to investigate the capability of the proposed model.FindingsThe results addressed that the proposed method was capable of detecting very small shift types effectively. The numerical report based on the average run length (ARL) term revealed the more sensitivity of the proposed model compared to other existing methods of the literature.Originality/valueThis paper proposes a new method to monitor very small shift types of a polynomial profile for phase II of the SPC. The proposed method provides detecting a very small change manifested itself to the process.

Economic and Economic-Statistical Designs of Phase II Profile Monitoring

2013 ◽  
Vol 30 (5) ◽  
pp. 645-655 ◽  
Author(s):  
R. Noorossana ◽  
S.T.A Niaki ◽  
M. J. Ershadi
Keyword(s):  
Phase Ii ◽  
Profile Monitoring ◽  
Statistical Designs

scholarly journals Past In Situ Burning Possibilities

1999 ◽  
Vol 1999 (1) ◽  
pp. 1275-1278
Author(s):  
Gary Yoshioka ◽  
Eva Wong ◽  
Beverly Grossman ◽  
Wendy Drake ◽  
Robert W. Urban ◽  
...  
Keyword(s):  
Phase I ◽  
Phase Ii ◽  
Oil Spills ◽  
Geographic Location ◽  
Weather Conditions ◽  
Populated Area ◽  
Sea Temperature ◽  
Oil Type ◽  
Phase Ii Analysis

ABSTRACT This study evaluates the feasibility of conducting in situ burning (ISB) on past major oil spills (i.e., spills since 1967 over 10,000 barrels in North America and over 50,000 barrels in South America and Europe) using current technology. A diverse set of 141 spills representing various combinations of parameters affecting spill response (e.g., spill size, oil type, weather conditions, sea temperature, and geographic location) initially were evaluated using four “Phase I” criteria: distance to populated area, oil weathering, logistics, and weather conditions. In Phase I, a spill that failed to meet one of the four criteria was considered an “unsuccessful” candidate for ISB. Spills that met all four criteria were further evaluated using a “Phase II” analysis that applied additional criteria and considered individual spill circumstances to determine if the spill should be rated a “successful,” “marginal call,” or “unsuccessful” ISB candidate. In total, 47 of the 141 spills passed the Phase I analysis. Fourteen spills were ultimately determined successful in the Phase II analysis, and 12 were designated marginal calls. Proximity to populated areas was the most significant of the four Phase I criteria; 59 of the 141 spills did not pass Phase I because the incident occurred near a sizable city.

Phase II profile monitoring based on proportional odds models

2016 ◽  
Vol 98 ◽  
pp. 543-553 ◽  
Author(s):  
Longcheen Huwang ◽  
Yi-Hua Tina Wang ◽  
Arthur B. Yeh ◽  
Yi-Heng Huang
Keyword(s):  
Phase Ii ◽  
Proportional Odds ◽  
Profile Monitoring ◽  
Proportional Odds Models
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