Anais do Seminário de Aciaria, Fundição e Metalurgia de Não-ferrosos


ISSN 2594-5300

46º Seminário de Aciaria - Internacional vol. 46, num.46 (2015)


Título

STEEL PLANT MODEL FOR SOLVING LOGISTIC BOTTLENECKS WITH ADVANCED PLANT SIMULATION

DOI

10.5151/1982-9345-26545

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Resumo

The Steel Plant Model (SPM) is an advanced logistic simulation model for steel plants. With the SPM, bottlenecks can be solved and logistics can be optimized. Both existing plants and greenfield designs can be simulated. All movements and actions simulated, from hot metal to cast products. Not only all major equipment and their relevant components (like a sublance) are simulated, but also ladles, scrap boxes, transfer cars and cranes. The whole plant is simulated in 3D and actual distances and speeds determine transport times. The SPM includes process time deviations and equipment downtimes for maintenance or unexpected breakdowns. This ensures more realistic and reliable results. Logistic optimization is based on comparison of different scenarios. For a new scenario, equipment and practices, etc. can easily be modified, added or removed. At the same time the SPM produces all relevant data for every new scenario, which can be presented conveniently. This makes the SPM the ultimate tool to find bottlenecks or optimize plant logistics. The SPM is validated for several plants world-wide, with different characteristics and layouts. The SPM not only realistically simulates existing plants with all utilizations, crane movements and waiting times, but also to accurately predicts the influence of plant modifications or unexpected events like breakdowns. Given the flexibility of the SPM, any (new) steel plant can be simulated quickly when a layout and the requested data are provided.

 

Palavras-chave

Logistic model, Simulation, Steel plant design, Bottleneck

Bottleneck

Como citar

Schrama, Frank; Merkenstein, Daan; Jansen, Mart; Vortrefflich, Walter; Berg, Bart van den. STEEL PLANT MODEL FOR SOLVING LOGISTIC BOTTLENECKS WITH ADVANCED PLANT SIMULATION , p. 298-306. In: 46º Seminário de Aciaria - Internacional, Rio de Janeiro, 2015.
ISSN: 2594-5300 , DOI 10.5151/1982-9345-26545