Proceedings of the 2nd International Conference on Industrial and Technology and Information Design, ICITID 2021, 30 August 2021, Yogyakarta, Indonesia

Research Article

Optimization Of Coal Production Based On Operational Cost Efficiency At PT. Tambang Bukit Tambi

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  • @INPROCEEDINGS{10.4108/eai.30-8-2021.2312669,
        author={Nur  Hanif and Hidayatullah  Sidiq and Novandri Kusuma Wardana},
        title={Optimization Of Coal Production Based On Operational Cost Efficiency At  PT. Tambang Bukit Tambi},
        proceedings={Proceedings of the 2nd International Conference on Industrial and Technology and Information Design, ICITID 2021, 30 August 2021, Yogyakarta, Indonesia},
        publisher={EAI},
        proceedings_a={ICITID},
        year={2021},
        month={10},
        keywords={production cost milp},
        doi={10.4108/eai.30-8-2021.2312669}
    }
    
  • Nur Hanif
    Hidayatullah Sidiq
    Novandri Kusuma Wardana
    Year: 2021
    Optimization Of Coal Production Based On Operational Cost Efficiency At PT. Tambang Bukit Tambi
    ICITID
    EAI
    DOI: 10.4108/eai.30-8-2021.2312669
Nur Hanif1,*, Hidayatullah Sidiq1, Novandri Kusuma Wardana1
  • 1: Department of Mining Engineering Faculty of Mineral Technology Yogyakarta National Institute of Technology Yogyakarta, Indonesia
*Contact email: nurhanif139@gmail.com

Abstract

PT. Tambang Bukit Tambi is one of the private companies engaged in coal mining located in Padang Kelapo Village, Moro Sebu Ulu District, Batang Hari Regency, Jambi Province. In coal mining activities using 2 fleets of excavators Komatsu PC400LC-8 and Dump Truck Hino FM 260 JD, Nissan CWM 330 PS and Nissan CWA 260 X. Research methods used to obtain data - data is quantitative method. The company's production target of 50,000 tons/month was not reached. The combination of tools in fleet 1 has a match factor value of 0.78 while fleet 2 is 0.82. Operating costs incurred today amount to Rp 27,047 /bcm. Fuel usage can be optimized using Mixed Integer Linear Programming (MILP) method, on fleet 1 by 27% and fleet 2 by 36%. In this study, effective working time improvement, swing angle and cycle time Dump Truck were conducted. Thus, after the improvement, there is no excess financing of operational costs in coal mining activities.