Anais dos Seminários de Redução, Minério de Ferro e Aglomeração


ISSN 2594-357X

20° Simpósio de Mineração vol. 20, num.20 (2019)


Título

DATA DRIVEN LEAN MINING USING SHORT INTERVAL CONTROL

DATA DRIVEN LEAN MINING USING SHORT INTERVAL CONTROL

DOI

10.5151/2594-357X-33628

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Resumo

Low commodity prices and lack of new high-grade deposits are pushing the mining industry for innovation. Lean mining has been vastly discussed in the past decades as a way to continuously improve mining efficiency. Although very theoretical, lean mining presents a set of new solutions enabled by the digital transformation that the mining industry is going through. This paper proposes a framework for a short interval control system with the purpose to allow timely responses by front line supervisors upon operational deviations. In the first part, the author briefly reviews concepts of short-range planning and lean mining. Then, the materials and methods used for the development of the short interval control system are discussed. Finally, alpha trial results are presented, and next steps discussed.

 

Low commodity prices and lack of new high-grade deposits are pushing the mining industry for innovation. Lean mining has been vastly discussed in the past decades as a way to continuously improve mining efficiency. Although very theoretical, lean mining presents a set of new solutions enabled by the digital transformation that the mining industry is going through. This paper proposes a framework for a short interval control system with the purpose to allow timely responses by front line supervisors upon operational deviations. In the first part, the author briefly reviews concepts of short-range planning and lean mining. Then, the materials and methods used for the development of the short interval control system are discussed. Finally, alpha trial results are presented, and next steps discussed.

Palavras-chave

Short Interval Control; Lean Mining; Short-Range Mine Planning; Continuous Improvement.

Short Interval Control; Lean Mining; Short-Range Mine Planning; Continuous Improvement.

Como citar

Oliveira, Hiago Antunes Amador de; Young, Aaron Samuel; Rogers, William Pratt. DATA DRIVEN LEAN MINING USING SHORT INTERVAL CONTROL , p. 227-237. In: 20° Simpósio de Mineração, São Paulo, 2019.
ISSN: 2594-357X , DOI 10.5151/2594-357X-33628