| Texto completo | |
| Autor(es): |
da Silva, Aneirson Francisco
[1]
;
Silva Marins, Fernando Augusto
[1]
;
Dias, Erica Ximenes
[1]
;
Miranda, Rafael de Carvalho
[2]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [1] Sao Paulo State Univ, Dept Prod, Sao Paulo - Brazil
[2] Fed Univ Itajuba UNIFEI, Ind Engn & Management Inst, Itajuba - Brazil
Número total de Afiliações: 2
|
| Tipo de documento: | Artigo Científico |
| Fonte: | EXPERT SYSTEMS; v. 39, n. 2 SEP 2021. |
| Citações Web of Science: | 0 |
| Resumo | |
This work has been developed in a large steel industry in Brazil, which produces railway and industrial components, and whose aim was to reduce casting defects. Usually, in industrial processes, identifying the causes of defects and their control are relatively complex activities, due to the many variables involved. In this context, the production processes of seven products, involving 38 process variables (inputs and outputs), have been evaluated adopting a new and innovative procedure. Initially, using a Weighted Goal Programming - Multiple Criteria Data Envelopment Analysis (WGP-MCDEA) model, we identified the most relevant input and output variables, and the studied company validated the results. Next, using the multiple regression technique, empirical functions were constructed for two response variables chosen by the company - number of external cracks and number of internal cracks. Then, to model the real processes adequately, we introduced the occurrence of uncertainty on the coefficients of these functions, considering them as random variables, according to triangular probability functions. Finally, applying the optimizer Optquest, optimization via Monte Carlo simulation (OvMCS) was performed, and with the Ordinary Least Square technique, we obtained the best fit for the two response variables. Specialists from the company validated the proposed procedure. They found that the values of input and output variables obtained by OvMSC, as well as the values of the response variables, belonged to the database available in the ERP system of the company. These results showed that the procedure proposed herein provided feasible and useful solutions to improve the industrial processes under study. (AU) | |
| Processo FAPESP: | 18/14433-0 - Aplicação de modelos e técnicas de otimização multiobjetivo sob incerteza para sistemas de reciclagem de resíduos de papel |
| Beneficiário: | Fernando Augusto Silva Marins |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 18/06858-0 - Otimização via simulação Monte Carlo combinada com o método da superfície de resposta: uma proposta para inserção da incerteza na otimização de problemas experimentais |
| Beneficiário: | Aneirson Francisco da Silva |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |