Integrating morphological texture classification with MCDA for early-stage trade-off analysis in open-pit mine design

At the early stage of mine feasibility assessment, decision-making is constrained by high geological uncertainty despite the need for rapid evaluation of economic viability. This study proposes a morphological texture-based classification framework as a screening tool for early-stage mine design. Distinct textural variants within a single ore deposit are classified using field and laboratory data and evaluated across slope stability, excavation energy, and ore grade. A multi-criteria decision analysis (MCDA) approach is applied to quantify trade-offs among these factors. Results show that weakly banded ores, such as deposition type 1 (DT), are easier to excavate but less stable, whereas competent units, such as DT6 and DT4, allow steeper, more stable slopes. The intermediate unit, as in DT5, exhibits higher grades but moderate constraints. MCDA ranking identifies DT6 as the most balanced unit. The framework demonstrates that morphological texture can effectively link geology with engineering and economic considerations, providing early-stage guidance for slope design and prioritisation under uncertainty.

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Publication Details

Journal
Mining Technology Transactions of the Institutions of Mining and Metallurgy
Published
2026-06-08
DOI
https://doi.org/10.1177/25726668261458090
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
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article

Integrating morphological texture classification with MCDA for early-stage trade-off analysis in open-pit mine design

Jillian Aira Gabo‐Ratio, Akihiro Hamanaka, Stephanie Ivy J. Luna, Takashi Sasaoka et al.
Mining Technology Transactions of the Institutions of Mining and Metallurgy
Rock Mechanics and Modeling
article

Integrating morphological texture classification with MCDA for early-stage trade-off analysis in open-pit mine design

Jillian Aira Gabo‐Ratio, Akihiro Hamanaka, Stephanie Ivy J. Luna, Takashi Sasaoka, Hideki Shimada
article en

Abstract

At the early stage of mine feasibility assessment, decision-making is constrained by high geological uncertainty despite the need for rapid evaluation of economic viability. This study proposes a morphological texture-based classification framework as a screening tool for early-stage mine design. Distinct textural variants within a single ore deposit are classified using field and laboratory data and evaluated across slope stability, excavation energy, and ore grade. A multi-criteria decision analysis (MCDA) approach is applied to quantify trade-offs among these factors. Results show that weakly banded ores, such as deposition type 1 (DT), are easier to excavate but less stable, whereas competent units, such as DT6 and DT4, allow steeper, more stable slopes. The intermediate unit, as in DT5, exhibits higher grades but moderate constraints. MCDA ranking identifies DT6 as the most balanced unit. The framework demonstrates that morphological texture can effectively link geology with engineering and economic considerations, providing early-stage guidance for slope design and prioritisation under uncertainty.

Mining Technology Transactions of the Institutions of Mining and Metallurgy
University of the Philippines System (PH), Kyushu University (JP)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Rock Mechanics and Modeling
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Integrating morphological texture classification with MCDA for early-stage trade-off analysis in open-pit mine design — Jillian Aira Gabo‐Ratio, Akihiro Hamanaka, et al. · Mining Technology Transactions of the Institutions of Mining and Metallurgy (2026) | TGRS Research Map | TGRS