Decision-Analysis for the Best Option to Optimize Mine Planning at Pit Kusan for 2025-2029 Period, PT Borneo Indobara

Authors

  • Muhammad Gunawan Institut Teknologi Bandung, Indonesia
  • Pri Hermawan Institut Teknologi Bandung, Indonesia

DOI:

https://doi.org/10.46799/ajesh.v4i4.589

Keywords:

Strategic Mine Planning, Pit Kusan, Overburden, PPKH, SMART Analysis, SPRY Scheduling

Abstract

Revisions to the Feasibility Study (FS) have increased the annual coal production target from 46 million tons to 54 million tons, necessitating adjustments to the strategic mining plan in the PKP2B area of PT Borneo Indobara. The Kusan Pit is one of the pits that must adjust its mining planning strategy during the 2025-2029 period. Currently, the Kusan Pit has a coal production target of 9 million tons per year, and to support this revised target, coal production capacity will be increased gradually from 9 million tons in 2025 to 22 million tons in 2029. This increase in coal production capacity presents several challenges, including limitations in overburden disposal capacity, increasing transport distances, additional infrastructure requirements, and interdependencies with the forest area lease approval process (PPKH). These challenges necessitate a systematic and data-driven strategic decision-making approach. This study aims to develop an evaluative approach for selecting the optimal mining strategy. Several alternative mining plan options for the Kusan Pit for the 2025–2029 period was developed using simulation with SPRY Scheduling software. To evaluate these options, the Simple Multi-Attribute Rating Technique (SMART) was used, considering various criteria, including overburden transport distance, disposal capacity, additional operational costs, opportunity benefits, and PPKH permit readiness. This study establishes a conceptual framework that integrates technical, regulatory, and cost-benefit aspects into the strategic decision-making process. By employing qualitative-quantitative modeling, cost analysis, and sensitivity analysis, it is expected to assist the company in determining a mining planning strategy that is not only cost-efficient but also sustainable and aligned with government policies.

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Published

2025-05-08