A learning-based methodology for dynamic scheduling in distributed manufacturing systems-Reference-Cited by-同舟云学术

A learning-based methodology for dynamic scheduling in distributed manufacturing systems

Published:1995-11 Issue:11 Volume:33 Page:3217-3232
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

CHIU C.¹,YIH Y.¹

Affiliation:

1. a School of Industrial Engineering, Purdue University , West Lafayette, Indiana, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207549508904870

Reference41 articles.

1. Integration of job shop control systems: A state-of-the-art review

2. Genetic algorithms and job shop scheduling

3. A state-of-the-art survey of dispatching rules for manufacturing job shop operations

4. CLEVELAND , G. A. , and SMITH , S. F. , 1989 , Using genetic algorithms to schedule flow shop release. Proceedings of the Third International Conference on Genetic Algorithms, Arlington, VA ( San Mateo , California Morgan Kaufmann Publishers ), 160 – 169 .

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