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     Research Journal of Applied Sciences, Engineering and Technology


Smart Analyses and Diagnoses of Piston Product Line Based on Virtual Manufacturing Technology

Yang Xue-Feng, Zhao Lin and Lv Jie
Department of Mechanical Engineering, University of Jinan, Jinan, 250022, China
Research Journal of Applied Sciences, Engineering and Technology  2013  18:3477-3483
http://dx.doi.org/10.19026/rjaset.6.3669  |  © The Author(s) 2013
Received: January 24, 2013  |  Accepted: February 25, 2013  |  Published: October 10, 2013

Abstract

The virtual simulation was used for designing and rebuilding product line according to real work conditions. The simulation software QUEST was used for analyzing the appointed piston product line in this example. After modelling and simulating, some factors which caused bottle-neck processes were found. The utility ratio of machines and productivity of workers were irrational after investigating the actual working environment. In order to improve the productivity, some measures were taken to integrate the whole process, such as realigning machines, adjusting utilities ratio of machines, improving walking mode of workers, increasing the transfer canals and rebuilding product line in the virtual environment. The results showed that product line implementing the above measures could improve the productivity and the bottle-neck problem was resolved in the virtual environment.

Keywords:

Bottle-neck process, design and diagnoses of product line, virtual manufacture, visual technology,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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