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Estimating a Process Control Model of Vehicle Front Wheel Alignment: A Case Study in Off-Line Experimentation
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English
Abstract
An off-line experiment was performed to estimate a model for on-line process control which describes the empirical relationship between the design and production factors affecting the front wheel camber angle. It is shown through a case study that models for process control estimated from off-line experiments may not generate on-line minimal variance predictions for vehicles representative of those produced in the assembly plant. This occurred in a case study experiment because a characteristic of the vehicle used in the experiment was identified which could not be manipulated or controlled during experimentation. It is shown that the developed methodology for augmenting the experiment would improve the model for on-line process control by generating minimal variance predictions for vehicles more representative of those produced in the assembly plant.
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Authors
Citation
Radson, D. and Herrin, G., "Estimating a Process Control Model of Vehicle Front Wheel Alignment: A Case Study in Off-Line Experimentation," SAE Technical Paper 911640, 1991, https://doi.org/10.4271/911640.Also In
References
- Dykstra, O., Jr. 1971 The Augmentation of Experimental Data to Maximize |X′X| Technometrics 13 682 688
- Radson, Darrell 1990 Experimental Design in the Presence of an Uncontrollable Variable: Model Characteristics and Design Augmentation in a Front Wheel Alignment Experiment University of Michigan Ann Arbor, Michigan
- Schilling, E. G. 1990 Elements of Process Control Quality Engineering 2 121 135