The Library
An example of simulation optimisation using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system
Tools
UNSPECIFIED (1997) An example of simulation optimisation using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 48 (11). pp. 1105-1112. ISSN 0160-5682.
Research output not available from this repository.
Request-a-Copy directly from author or use local Library Get it For Me service.
Abstract
A method of finding the optimum solution for a stochastic discrete-event system is described A simulation model of the system is first built and then used to train a neural network metamodel. The optimisation process consists of using the metamodel to find an approximate optimum solution. This solution is then used by the simulation as the starting point in a more precise search for an optimum. The approach is demonstrated with an example that finds the optimum number of kanbans needed to control a manufacturing system.
Item Type: | Journal Article | ||||
---|---|---|---|---|---|
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management | ||||
Journal or Publication Title: | JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | ||||
Publisher: | STOCKTON PRESS | ||||
ISSN: | 0160-5682 | ||||
Official Date: | November 1997 | ||||
Dates: |
|
||||
Volume: | 48 | ||||
Number: | 11 | ||||
Number of Pages: | 8 | ||||
Page Range: | pp. 1105-1112 | ||||
Publication Status: | Published |
Data sourced from Thomson Reuters' Web of Knowledge
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |