DocumentCode
3731202
Title
Survey of the selection and evaluation for dispatching rules in dynamic job shop scheduling problem
Author
Hua-Li Fan;He-Gen Xiong;Guo-Zhang Jiang;Gong-Fa Li
Author_Institution
Wuhan University of Science and Technology, China
fYear
2015
Firstpage
1926
Lastpage
1931
Abstract
Dispatching rule is an effective method for solving dynamic job shop scheduling problem in practical production. The development, classification and characteristics of dispatching rules were reviewed in this paper, and the research hotspots of dispatching rules including the selection and evaluation methods were summarized. The selection methods of dispatching rules were introduced in detail which includes the popular steady state simulation method and the effective artificial intelligence method. The research results and conclusions of simulation methods, expert system, machine learning methods and artificial neural network methods that were applied to the selection of dispatching rules were presented. In addition, the evaluation of dispatching rules including indicators and methods were illustrated. Finally the direction of future research was pointed out aiming at the shortcomings of the existing dispatching rules.
Keywords
"Process control","Biology","Dispatching","Art"
Publisher
ieee
Conference_Titel
Chinese Automation Congress (CAC), 2015
Type
conf
DOI
10.1109/CAC.2015.7382819
Filename
7382819
Link To Document