The Multi-Factors Based Tolerance Design

碩士 === 義守大學 === 工業工程與管理學系碩士班 === 94 === With regard to the size for the distributions of component manufactured, it is very difficult to produce an item which is completely conforms to the design specification. There is always some variations existed in the process, and the variations could make t...

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Main Authors: Ying-jou Chen, 陳瀅舟
Other Authors: Ching-sung Lai
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/36649925032056937645
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spelling ndltd-TW-094ISU050310132015-10-13T14:49:54Z http://ndltd.ncl.edu.tw/handle/36649925032056937645 The Multi-Factors Based Tolerance Design 多因素條件下最適公差設計之探討 Ying-jou Chen 陳瀅舟 碩士 義守大學 工業工程與管理學系碩士班 94 With regard to the size for the distributions of component manufactured, it is very difficult to produce an item which is completely conforms to the design specification. There is always some variations existed in the process, and the variations could make the components shift from the original design. For this reason, designers must set an suitable tolerance for the component. Hence, even the variations exist, the component can still conform to the specification requirements. In the paper, we add the factors of the time and loss-function when the tolerance design is considered because different operations need various periods of time and the time period will affect the manufacturing process. This research establish a multi-objective mathematical model to determine the tolerance from the aspects of time and loss-function. This model includes the factors of time, cost and loss-function. The model is to minimize the time, cost and loss function under the constraints of capacity, time and dimensional specifications. According to the results, the tolerance settings are different and scrap rate are slightly lower than most of the previous studies when time and loss-function factors are added into the model. It shows that the different tolerances and scrap rates can be obtained when different factors and weightings are utilized. Ching-sung Lai 賴慶松 2006 學位論文 ; thesis 51 zh-TW
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description 碩士 === 義守大學 === 工業工程與管理學系碩士班 === 94 === With regard to the size for the distributions of component manufactured, it is very difficult to produce an item which is completely conforms to the design specification. There is always some variations existed in the process, and the variations could make the components shift from the original design. For this reason, designers must set an suitable tolerance for the component. Hence, even the variations exist, the component can still conform to the specification requirements. In the paper, we add the factors of the time and loss-function when the tolerance design is considered because different operations need various periods of time and the time period will affect the manufacturing process. This research establish a multi-objective mathematical model to determine the tolerance from the aspects of time and loss-function. This model includes the factors of time, cost and loss-function. The model is to minimize the time, cost and loss function under the constraints of capacity, time and dimensional specifications. According to the results, the tolerance settings are different and scrap rate are slightly lower than most of the previous studies when time and loss-function factors are added into the model. It shows that the different tolerances and scrap rates can be obtained when different factors and weightings are utilized.
author2 Ching-sung Lai
author_facet Ching-sung Lai
Ying-jou Chen
陳瀅舟
author Ying-jou Chen
陳瀅舟
spellingShingle Ying-jou Chen
陳瀅舟
The Multi-Factors Based Tolerance Design
author_sort Ying-jou Chen
title The Multi-Factors Based Tolerance Design
title_short The Multi-Factors Based Tolerance Design
title_full The Multi-Factors Based Tolerance Design
title_fullStr The Multi-Factors Based Tolerance Design
title_full_unstemmed The Multi-Factors Based Tolerance Design
title_sort multi-factors based tolerance design
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/36649925032056937645
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