Mining Technology Vol. 134, No. 1, out now

From data to decision: Explore cutting-edge research in predictive model innovation.

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An intelligent rule-based decision-making system for preliminary truck dispatching within open-pit mines
Arman Hazrathosseini, Ali Moradi Afrapoli
pp. 3–14
DOI: 10.1177/25726668241301876

Underground bench blast fragmentation: Comparison of a multivariate regression model to established predictive models
Lauren Shields, Josh Calnan, Jhon Silva, Zach Agioutantis
pp. 15–29
DOI: 10.1177/25726668241301880

An AHP and BEES model-based sustainability assessment of small-scale marble processing industries: Indian prospects
Dharmanshu Singh Sodha, Harlal Singh Mali, Amit Kumar Singh
pp. 30–50
DOI: 10.1177/25726668241311555

Design charts for the prediction of overbreak in circular excavations in bedded or foliated rocks
Ross Seedsman
pp. 51–59
DOI: 10.1177/25726668251314739

Critical path management of the mining value chain using a probabilistic approach
Martyn L. Bloss, Ilnur Minniakhmetov, Cullen Bowels, Cameron Smyth, David Monahan-Newton, Henry Wilson
pp. 60–78
DOI: 10.1177/25726668251325340

Data driven block discretisation method for predicting the bulk ore sorting benefits applied at distinctly heterogeneous open pit mines
Fouad Faraj, Julian Ortiz, Jose Arnal
pp. 79–91
10.1177/25726668251323986