REDUCING THE SEARCH SPACE IN SIMULATION PROBLEMS WITHOUT REPLICATIONS

• Grant number: 15/24560-0
• Support Opportunities: Regular Research Grants
• Start date: June 01, 2016
• End date: May 31, 2018
• Field of knowledge: Engineering - Production Engineering - Operational Research
• Principal Investigator: Fernando Augusto Silva Marins
• Grantee: Fernando Augusto Silva Marins
• Host Institution: Faculdade de Engenharia (FEG). Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Guaratinguetá , SP, Brazil
• City of the host institution: Guaratinguetá
• Associated researchers: Aneirson Francisco da Silva ; Rafael de Carvalho Miranda

Abstract

An area of Operational Research that is evolving is the simulation optimization via (OvS), being in evidence the computational time required for the convergence of the proposed algorithms. Here the object of study is a leader Company in the Brazilian steel sector that uses intensively discrete event simulation (SED) models to support its aggregate production planning process. It faces difficulties in this planning process, due to the large number of variables involved that require the adoption of some smaller models, when the ideal would be to use a global model to support the decision process. The quality of the solution is significantly impaired given that the simultaneous analysis of all the factors of the process is hardly performed. The aim of this project is to propose a systematic procedure for an aggregate production planning, incorporating the uncertainties inherent in the consumer market, for a typical company in the steel sector, including the combination of various techniques: Design of Experiments, SED, Fuzzy Logic and Data Envelopment Analysis (DEA). The models to be developed will be tested and validated using data of Company which was chosen as the object of study. It is hoped that this procedure will be effective and efficient, reducing the search space of solutions and the computational time required to obtain the solutions (Pareto Optimal), and without losing the quality of the final response. (AU)

Scientific publications

(6)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

BARCELLOS DE PAULA, LUCIANO; SILVA MARINS, FERNANDO AUGUSTO. Algorithms applied in decision-making for sustainable transport. JOURNAL OF CLEANER PRODUCTION, v. 176, p. 1133-1143, MAR 1 2018. (15/24560-0)

DA SILVA, ANEIRSON FRANCISCO; SILVA MARINS, FERNANDO AUGUSTO; TAMURA, PATRICIA MIYUKI; DIAS, ERICA XIMENES. Bi-Objective Multiple Criteria Data Envelopment Analysis combined with the Overall Equipment Effectiveness: An application in an automotive company. JOURNAL OF CLEANER PRODUCTION, v. 157, p. 278-288, JUL 20 2017. (15/24560-0, 15/12711-4)

. . Gestão & Produção, n. ahead, p. -, 2017. (15/12711-4, 15/24560-0)

MIRANDA, RAFAEL DE CARVALHO; BARRA MONTEVECHI, JOSE ARNALDO; DA SILVA, ANEIRSON FRANCISCO; MARINS, AUGUSTO SILVA. Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays. European Journal of Operational Research, v. 262, n. 2, p. 673-681, OCT 16 2017. (15/24560-0, 15/12711-4)

ANEIRSON FRANCISCO DA SILVA; FERNANDO AUGUSTO SILVA MARINS; ERICA XIMENES DIAS; RAFAEL DE CARVALHO MIRANDA. . Gestão & Produção, v. 25, n. 1, p. 148-159, 2017-08-17. (15/12711-4, 15/24560-0)

ANTÔNIO HONORATO DE OLIVEIRA; FERNANDO AUGUSTO SILVA MARINS; MAURÍCIO CÉSAR DELAMARO. Business engineering incubators: a cooperation case for cluster’s development. Production, v. 28, 2018-08-13. (15/24560-0)