Paper Title:
Green Optimization Based on Cellular Automata for Process Planning and Production Operation in Workshop
  Abstract

On the principle of green planning for the industial production, the optimization model oriented to the environmental attributes is discussed and solved by the genetic algorithm improved with the cellular automata based on an artificial life game. The solution of the influencing factors in production offers the optimal operational parameters. To achieve those optimal parameters in actual production, some innovations and integrated technologies are applied in the process planning and multiple productions in workshop. Technical route, new organic methods, application technology and facilities for complex productions are contributed to improve the process planning and physical manufacturing for mass products. A comprehensive assessment system based on resource and environment attributes for production is developed for the process planning and operational optimization for each general product. The case study on the typical product of the valve used in thermal power generation is demonstrated in this paper. An optimistic estimate on the resource and environment impacts is obtained when the green optimization is entirely implemented for the process planning and production operation in the manufacturing workshop.

  Info
Periodical
Advanced Materials Research (Volumes 255-260)
Edited by
Jingying Zhao
Pages
2174-2178
DOI
10.4028/www.scientific.net/AMR.255-260.2174
Citation
G. Zhao, H. Zhang, Z. G. Jiang, W. Yan, Y. H. Wang, "Green Optimization Based on Cellular Automata for Process Planning and Production Operation in Workshop", Advanced Materials Research, Vols. 255-260, pp. 2174-2178, 2011
Online since
May 2011
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Price
$32.00
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