Simulation Based Decision for Steelmaking Operations Challenges

Fioroni, M.M.; Franzese, Luiz Augusto G.; Harano, E.L.M.; Costhek, B.P.; Mendes, J.B.; Cuzzuol, J.; Lima, J. de Souza; Santos, R.B.; Coelho, R.J.; Silva, A.C.; Kimsr, O.J.

doi:10.1109/wsc.2005.1574566

Cited by 6 publications

(4 citation statements)

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“…Fioroni et al (2) conduziram estudos de simulação em um projeto de expansão de uma usina siderúrgica de aços planos. Através do estudo, foi quantificado o número de recursos necessários para alcançar a meta de produção desejada e apontadas soluções operacionais com o intuito de reduzir gargalos produtivos.…”

Section: Shannonunclassified

“…Seguindo a diretriz de redução de complexidade nos modelos, salientada no trabalho de Fioroni et al, (2) foi decido criar uma simulação independente da inicial, que abordasse a recepção, armazenagem e despacho de fio máquina no cenário pós-expansão. Este modelo representa distintos cenários de volume e formas de operação logística (variação do modal de carregamento, mudança do layout de estocagem etc.…”

Section: Shannonunclassified

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Uso De Simulação Para Tomada De Decisão Na Expansão Da Arcelormittal Monlevade

Cunha¹,

Vale²,

Rodrigues³

et al. 2011

TMM

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ResumoA expansão da ArcelorMittal Monlevade elevará o volume de produção de fio máquina de 1,2 Mtpa para 2,3 Mtpa e, nesse contexto, a logística tem o desafio de aumentar sua capacidade de recepção, armazenagem e expedição. Diante de restrições de espaço físico, de investimento e de segurança, o presente trabalho tem a finalidade de quantificar os recursos necessários para operação logística futura. O estudo foi conduzido utilizando a metodologia PDCA. Modelos de simulação foram desenvolvidos no software ProModel com objetivo de avaliar possíveis alternativas de operação, identificar gargalos e propor soluções. Para atingir este objetivo, foi necessário o levantamento de dados do processo atual e identificação das possíveis formas de operação além de investimentos necessários, o que permitiu determinar o fluxo de insumos e produtos considerando os impactos nas portarias e locais de carga e descarga. Também foi demonstrado que mudanças no layout e operação irão permitir um aumento significativo na capacidade de estocagem. Além disso, foram sugeridas alterações nas linhas férreas para minimizar conflitos operacionais e promover uma logística mais eficiente. Palavras-chave: Simulação; Logística; Expansão. SIMULATION AIMING THE DECISION MAKING AT ARCELORMITTAL MONLEVADE EXPANSION AbstractThe expansion of ArcelorMittal Monlevade will increase wire rod production from 1,2 Mtpy to 2,3 Mtpy. Therefore, logistics will face the challenge of increasing its capacity on reception, storage and expedition within room, investment and safety constraints. The present work aims to quantify the resources required for the future logistical operations. The present study was conducted using PDCA methodology. A simulation model was developed, using ProModel software, in order to evaluate different alternatives, as well as to identify possible bottlenecks. To begin with, data from the current operation was consolidated and feasible ways operations were identified with its respective investments. The work determined the flow of each raw material and product, taking into account its impacts on the plant entrance, loading bay and discharge station. It was concluded that layout and operational changes would allow significant increases in storage capacity. In addition, some changes in the actual railway have been suggested in order to minimize operational conflicts, achieving an efficient logistic process.

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Section: Shannonunclassified

Uso De Simulação Para Tomada De Decisão Na Expansão Da Arcelormittal Monlevade

Cunha¹,

Vale²,

Rodrigues³

et al. 2011

TMM

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“…Therefore, plant design often requires dynamic planning tools such as DES (cf. Briggs 2008, Spengler, Labitzke, and Volling 2007, Fioroni and Franzese 2005, Brady 2001) in combination with sophisticated accounting techniques. Furthermore, steel production is characterized by high energy inputs (iron ore reduction, heating of slabs and coils, transportation of heavy items); rising energy prices for coal, gas and electricity have put a strong focus on energy-efficiency in the last years (Tang et al 2001, Ameling 2007).…”

Section: Settingmentioning

confidence: 99%

Applying decision-oriented accounting principles for the simulation-based design of logistics systems in production

Labitzke¹,

Spengler²,

Volling³

2009

Proceedings of the 2009 Winter Simulation Conference (WSC)

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In this contribution, we focus on the configuration of logistics systems embedded into production processes. To evaluate the dynamic behavior of alternative configurations, Discrete-Event Simulation (DES) proofs helpful. Emphasis is typically put on physical performance measures. However, as configuration decisions have significant financial impact to the firm, an additional monetary impact assessment is usually performed. This requires cost accounting techniques that appropriately incorporate system complexity into the financial model. To this end, we propose a novel approach to extend the applicability of DES for configuration problems. The basic idea is to incorporate technical consumption or engineering production functions into Riebel's Generic Direct Cost Accounting and to add both methods to a standard DES modeling. Consequently, the informational value of DES is significantly improved. Misleading decision support can be avoided and insights into the relationship between processes and the value structure are achieved. Both of which contribute towards improved configuration decisions.

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“…Moreover, Brigss [3] focuses on the steel plant simulation and describes how a simulation model incorporating human decision-making is conceived. In addition, Fioroni et al [4] implement a simulation model, in order to help testing and anticipating operational challenges and bottlenecks, to identify operational gaps and to estimate production level and workload in a steelmaking process. This paper proposes a modular Timed Petri Net (TPN) model to monitor the dynamics and the resulting performances of the SM-CC process.…”

Section: Introductionmentioning

confidence: 99%

Modeling Steelmaking and Continuous Casting plants by Timed Petri Nets

Fanti

Mangini

Rotunno

et al. 2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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In this paper we deal with the problem of modeling and simulating the Steelmaking and Continuous Casting (SM-CC) processes. The SM-CC production processes are very complex and exhibit production cycles that have to be managed with suitable sequencing and scheduling procedures in order to minimize blocking and bottleneck conditions. The paper describes in details the SM-CC process by a modular approach in a Timed Petri Net framework. In order to show that the modeling procedure is suitable to describe large systems, we model and simulate a real case study involving a SM-CC plant located in the North of Italy.

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Simulation Based Decision for Steelmaking Operations Challenges

Cited by 6 publications

References 1 publication

Uso De Simulação Para Tomada De Decisão Na Expansão Da Arcelormittal Monlevade

Uso De Simulação Para Tomada De Decisão Na Expansão Da Arcelormittal Monlevade

Applying decision-oriented accounting principles for the simulation-based design of logistics systems in production

Modeling Steelmaking and Continuous Casting plants by Timed Petri Nets

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