A non-stationary SOQN Illustrative case solved using WB-PSFFA method
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data provide an illustrative case of non-stationary semi-open queuing networks. The model serves as a simpler version of a drop-swap operation in a chemical site. It includes the truck arrival distribution, queuing system configuration, and other relevant parameters. The model is solved by using the WB-PSFFA method combined with a decomposition aggregation approac' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["queuing systems"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data provide an illustrative case of non-stationary semi-open queuing networks. The model serves as a simpler version of a drop-swap operation in a chemical site. It includes the truck arrival distribution, queuing system configuration, and other relevant parameters. The model is solved by using the WB-PSFFA method combined with a decomposition aggregation approac' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data provide an illustrative case of non-stationary semi-open queuing networks. The model serves as a simpler version of a drop-swap operation in a chemical site. It includes the truck arrival distribution, queuing system configuration, and other relevant parameters. The model is solved by using the WB-PSFFA method combined with a decomposition aggregation approac
queuing systems