### 抜粋

Selective assembly is an effective approach for improving the quality of a product assembled from two components when the quality characteristic is the clearance between the mating components. A component is rejected if its dimension is outside specified limits of the dimensional distribution. Acceptable components are sorted into several classes by their dimensions, and the product is assembled from randomly selected mating components from the corresponding classes. We assume that the two component dimensions are normally distributed with equal variance, and that measurement error, if any, is also normally distributed. Taking into account the quality loss of a sold product, the selling price of an assembled product, the component manufacturing cost, and the income from a rejected component, we discuss the optimal partitioning of the dimensional distribution to maximize expected profit, including the optimal choice of the distribution limits or truncation points. Equations for a set of optimal partition limits are given and its uniqueness is established in the presence and absence of measurement error. It is shown that the expected profit based on the optimal partition decreases with increasing variance of the measurement error. In addition, some numerical results are presented to compare the optimal partitions for the cases when the truncation points are and are not fixed.

元の言語 | English |
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ホスト出版物のタイトル | Frontiers in Statistical Quality Control 9 |

出版者 | Physica-Verlag |

ページ | 173-190 |

ページ数 | 18 |

ISBN（印刷物） | 9783790823790 |

DOI | |

出版物ステータス | Published - 2010 1 1 |

イベント | 9th International Workshop on Intelligent Statistical Quality Control - Beijing, China 継続期間: 2007 9 1 → 2007 9 1 |

### 出版物シリーズ

名前 | Frontiers in Statistical Quality Control 9 |
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### Other

Other | 9th International Workshop on Intelligent Statistical Quality Control |
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国 | China |

市 | Beijing |

期間 | 07/9/1 → 07/9/1 |

### フィンガープリント

### ASJC Scopus subject areas

- Atomic and Molecular Physics, and Optics

### これを引用

*Frontiers in Statistical Quality Control 9*(pp. 173-190). (Frontiers in Statistical Quality Control 9). Physica-Verlag. https://doi.org/10.1007/978-3-7908-2380-6_12