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QICID: 19971
Title: Selective Assembly in Manufacturing: Statistical Issues and Optimal Binning Strategies
Copyright: 2004, ASA/ASQ
Author: Mease, David; Nair, Vijayan N.; Sudjianto, Agus
Organization: University of Pennsylvania, Philadelphia, PA; University of Michigan, Ann Arbor, MI; Bank of America, Charlotte, NC
Subject: Assembly line methods,Manufacturing,Product quality,Variation,Precision,Tolerances,Selection,Goodness of fit;
Series: Technometrics, Vol. 46, No. 2, May 2004, pp. 165-175
Abstract: [This abstract is based on the authors' abstract.]Selective assembly, in which components of a mating pair are measured and grouped into several classes or bins as they are manufactured, is a cost-effective way to reduce variation and improve the quality of the assembled product. Optimal binning strategies are developed under several loss functions and distributional assumptions. Additionally, optimal schemes under absolute and squared error loss are explored in detail and results are compared with two commonly used heuristic schemes. Situations in which only one component of the mated pair is binned are considered in addition to instances in which both components are binned.
Number of pages: 11
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