Paper Title:
Integrated Process Planning and Scheduling Based on Genetic Algorithms
  Abstract

Process planning and scheduling are two important manufacturing activities in the manufacturing system. In this paper, an improved genetic algorithm(GA) has been developed to facilitate the integration and optimization of process planning and scheduling. To improve the optimization performance, an efficient genetic representation has been developed. Selection, crossover, and mutation operators have been described. Simulation studies have been established to evaluate the performance of the algorithm. The results show that the algorithm is a promising and effective method for the integration of process planning and scheduling(IPPS).

  Info
Periodical
Advanced Materials Research (Volumes 291-294)
Chapter
Modeling, Analysis and Simulation of Manufacturing Processes
Edited by
Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu
Pages
331-334
DOI
10.4028/www.scientific.net/AMR.291-294.331
Citation
J. F. Wang, S. J. Li, S. C. Fan, "Integrated Process Planning and Scheduling Based on Genetic Algorithms", Advanced Materials Research, Vols. 291-294, pp. 331-334, 2011
Online since
July 2011
Export
Price
$32.00
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