Dynamic capacity allocation in a radiology service considering different types of patients, individual no-show probabilities, and overbooking.

Autor: da Silva, Rodolfo Benedito Zattar¹ (AUTHOR) rodolfoengenheiro@hotmail.com, Fogliatto, Flávio Sanson¹ (AUTHOR), Krindges, André² (AUTHOR), dos Santos Cecconello, Moiseis² (AUTHOR)

Publikováno v: BMC Health Services Research. 9/14/2021, Vol. 21 Issue 1, p1-24. 24p. 2 Diagrams, 10 Charts, 6 Graphs.

Additional file 5 of Dynamic capacity allocation in a radiology service considering different types of patients, individual no-show probabilities, and overbooking

Autor: da Silva, Rodolfo Benedito Zattar, Fogliatto, Flávio Sanson, Krindges, André, dos Santos Cecconello, Moiseis

Additional file 5;. Histograms of total costs of 10,000 days of service simulated with IPs and EPs probabilities at baseline level - cost levels (low and high).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09d7052ad80378a2d1dc71cf2f9b0061

Additional file 7 of Dynamic capacity allocation in a radiology service considering different types of patients, individual no-show probabilities, and overbooking

Autor: da Silva, Rodolfo Benedito Zattar, Fogliatto, Flávio Sanson, Krindges, André, dos Santos Cecconello, Moiseis

Additional file 7:. Histograms of total costs obtained simulating 10,000 service days with IPs and EPs probabilities at the high level - cost levels (low and high).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48b4b97d4a9c4444a00f616062cee7ac

Additional file 4 of Dynamic capacity allocation in a radiology service considering different types of patients, individual no-show probabilities, and overbooking

Autor: da Silva, Rodolfo Benedito Zattar, Fogliatto, Flávio Sanson, Krindges, André, dos Santos Cecconello, Moiseis

Additional file 4:. Script with the programming code in SciLab.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3242113c048568570ecb867278f611e6

PREVISÕES DE INDICADORES DA SOJA NO ESTADO DE MATO GROSSO A PARTIR DE MODELOS BASEADOS EM SÉRIES TEMPORAIS

Autor: da Silva, Rodolfo Benedito Zattar, Aires, Fábia Fernanda da Costa, Oenning, Eduardo José, Porto, Alexandre Gonçalves, Ultramari, Alexandre Volkmann

Publikováno v: Brazilian Journal of Production Engineering; Vol. 5 No. 3 (2019): Número Regular (Julho); 67-81
Brazilian Journal of Production Engineering; Vol. 5 Núm. 3 (2019): Número Regular (Julho); 67-81
Brazilian Journal of Production Engineering; v. 5 n. 3 (2019): Número Regular (Julho); 67-81
Brazilian Journal of Production Engineering
Universidade Federal do Espírito Santo (UFES)
instacron:UFES

O estado de Mato Grosso se destaca como o maior produtor nacional de soja. Diante deste contexto, realizar o processo de modelagem e previsão dos indicadores desta cultura se configura como uma atividade muito importante para o planejamento e acompa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::9bd5efb0b7ad5bd9dbc32bd8b98b1cf1
https://periodicos.ufes.br/bjpe/article/view/V05N03_006