An example of simulation optimisation using a neural network metamodel: finding the optimum number of kanbans in a manufacturing system
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 0160-5682Full text not available from this repository.
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|
|Official Date:||November 1997|
|Number of Pages:||8|
|Page Range:||pp. 1105-1112|
Actions (login required)
Downloads per month over past year