Modeling, Simulation and Linear Programming: A Case Study for Production Sequencing in the Steel Industry

Proceedings of The 4th International Conference on Advanced Research in Applied Science and Engineering

Year: 2022

DOI: https://www.doi.org/10.33422/4th.raseconf.2022.09.24

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Modeling, Simulation and Linear Programming: A Case Study for Production Sequencing in the Steel Industry

Júnia Martins Figueredo Tran, Gustavo Douglas Amorim de Freitas, Diva de Souza e Silva Rodrigues, Renata Duarte Mellim, Luiz Melk de Carvalho, Rafaela Priscila Cruz Moreira, Flávio Henrique Batista de Souza

ABSTRACT: 

Steel is one of the most important materials nowadays and it is raw material for several market segments. This article presents a case study about process management, proposing a production sequencing solution and mitigating the bottlenecks found in the analyzed equipment. The analysis was performed in two fronts: Linear Programming (LP) and Modeling, and simulation for the strategic management of the production process. The main contribution of the present research relies on the analysis of the production process of an industry of considerable relevance in the global economy, by using LP tool in a range of 75 products with real data, and supporting a modeling and simulation analysis that achieved 96% of confidence.

keywords: Operational Research, Simulation, Petri Nets, Sequencing, Processes management.