Research on Key Techniques of Intelligent Optimization of Batch Production Job Shop Scheduling

Yan Hong Zuo; Ke Ren Zhang

doi:10.4028/www.scientific.net/AMR.753-755.1903

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 753-755Research on Key Techniques of Intelligent...

Research on Key Techniques of Intelligent Optimization of Batch Production Job Shop Scheduling

Abstract:

Job-shop scheduling is the very important, but weak part in the integrated manufacturing system. In view of the Job-shop scheduling characteristics for batch production of enterprises, this article analysised batch production scheduling problem in detail; then put out a workshop Intelligent Scheduling Optimization technical framework which contained six-stories. And study the basic theory and key technology of this structure framework in-depth, then proposed object-oriented technology which based on improved tabu search algorithm and NSGA-II algorithm to achieve the intelligent optimization targets , and in the experiment proved it is practical and effective.

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Periodical:

Advanced Materials Research (Volumes 753-755)

Pages:

1903-1909

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.753-755.1903

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Online since:

August 2013

Authors:

Yan Hong Zuo, Ke Ren Zhang

Keywords:

Batch Production, Improved NSGA-II Algorithm, Intelligent Optimization, Job-Shop Scheduling

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