Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 08)
Article Information:

Configuration Optimization Method of Reconfigurable Manufacturing Systems

Xie Xiaowen, Zheng Beirong and Xue Wei
Corresponding Author:  Xie Xiaowen 

Key words:  Genetic algorithm, multi-stage production line, optimization method, reconfiguration, , ,
Vol. 6 , (08): 1389-1393
Submitted Accepted Published
September 22, 2012 November 03, 2012 July 10, 2013
Abstract:

In the study, the dynamic variability of reconfigurable manufacturing systems has been addressed and the optimization scheme of component reconfiguration has been also presented. According to the product line process changes, the production line configuration for different products has been identified; stage as a unit, the system reconfiguration path model based graph theory is built up; the weight of each edge is defined according to economic, time and process constraints and the genetic algorithm is adopted to optimize and obtain the optimal/suboptimal reconfiguration path from one configuration to another configuration of multi-stage production line. At last, an actual example, a manufacturing line composed of three RMTs, is also presented. The results show that the methodology can concurrently optimize the process plans and configurations with high computation efficiency.
Abstract PDF HTML
  Cite this Reference:
Xie Xiaowen, Zheng Beirong and Xue Wei , 2013. Configuration Optimization Method of Reconfigurable Manufacturing Systems.  Research Journal of Applied Sciences, Engineering and Technology, 6(08): 1389-1393.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved