Because the body manufacturing quality affects the quality of the vehicle, the control of manufacturing quality plays a decisive influence on the development of the auto industry. As an important factor of manufacturing quality, the research of variations is essential. In this paper, after analysising and comparing of the model used to control the variations of body, which is from traditional to existing, rigid to flexible, we got the optimization model which is based on the model of influence coefficient method. And making a bold speculation about the future research trends in this area, aim to provide useful reference for the future research.
| Published in | International Journal of Science, Technology and Society (Volume 3, Issue 6) |
| DOI | 10.11648/j.ijsts.20150306.13 |
| Page(s) | 288-294 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
The Control of Automobile Body Deviation, Flexible Sheet Assembly, Dimension Chain, Deterministic Analysis, the Method of Influence Coefficient
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APA Style
Wang Fang, Xing Yanfeng. (2015). Analysis of Variations Control Model for Vehicle Manufacture. International Journal of Science, Technology and Society, 3(6), 288-294. https://doi.org/10.11648/j.ijsts.20150306.13
ACS Style
Wang Fang; Xing Yanfeng. Analysis of Variations Control Model for Vehicle Manufacture. Int. J. Sci. Technol. Soc. 2015, 3(6), 288-294. doi: 10.11648/j.ijsts.20150306.13
AMA Style
Wang Fang, Xing Yanfeng. Analysis of Variations Control Model for Vehicle Manufacture. Int J Sci Technol Soc. 2015;3(6):288-294. doi: 10.11648/j.ijsts.20150306.13
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Download@article{10.11648/j.ijsts.20150306.13,
author = {Wang Fang and Xing Yanfeng},
title = {Analysis of Variations Control Model for Vehicle Manufacture},
journal = {International Journal of Science, Technology and Society},
volume = {3},
number = {6},
pages = {288-294},
doi = {10.11648/j.ijsts.20150306.13},
url = {https://doi.org/10.11648/j.ijsts.20150306.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20150306.13},
abstract = {Because the body manufacturing quality affects the quality of the vehicle, the control of manufacturing quality plays a decisive influence on the development of the auto industry. As an important factor of manufacturing quality, the research of variations is essential. In this paper, after analysising and comparing of the model used to control the variations of body, which is from traditional to existing, rigid to flexible, we got the optimization model which is based on the model of influence coefficient method. And making a bold speculation about the future research trends in this area, aim to provide useful reference for the future research.},
year = {2015}
}
TY - JOUR T1 - Analysis of Variations Control Model for Vehicle Manufacture AU - Wang Fang AU - Xing Yanfeng Y1 - 2015/11/19 PY - 2015 N1 - https://doi.org/10.11648/j.ijsts.20150306.13 DO - 10.11648/j.ijsts.20150306.13 T2 - International Journal of Science, Technology and Society JF - International Journal of Science, Technology and Society JO - International Journal of Science, Technology and Society SP - 288 EP - 294 PB - Science Publishing Group SN - 2330-7420 UR - https://doi.org/10.11648/j.ijsts.20150306.13 AB - Because the body manufacturing quality affects the quality of the vehicle, the control of manufacturing quality plays a decisive influence on the development of the auto industry. As an important factor of manufacturing quality, the research of variations is essential. In this paper, after analysising and comparing of the model used to control the variations of body, which is from traditional to existing, rigid to flexible, we got the optimization model which is based on the model of influence coefficient method. And making a bold speculation about the future research trends in this area, aim to provide useful reference for the future research. VL - 3 IS - 6 ER -
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