Optimization of Heavy Equipment Costs in Coal Mining Overburden Production Using Match Factor and Linear Programming
- DOI
- 10.2991/aer.k.220131.049How to use a DOI?
- Keywords
- Mining; Heavy Equipment; Match Factor; Linear Programming
- Abstract
The coal mining industry is currently facing challenges in terms of the establishment of export restrictions and the drop in coal prices. In order to compete, companies are required to increase their productivity and efficiency. Optimizing heavy equipment productivity is an essential factor in improving cost efficiency. In Pit 2 West Banko, there are 21 units of Belaz 75135 dump truck and 3 units of Shovel Excavator Komatsu PC 3000E-6 spread over 3 fleet. In the 4th quarter of 2020, the overburden production target is 3,480,000 BCM, however, only 2,859,794 BCM or 82.18 percent was achieved. The reason why the production target was unable to be accomplished is because of the waiting time of the excavator as indicated by the match factor value of less than one. This study aims to minimize overburdened production costs by determining the optimal number of dump trucks using match factor and linear programming methods. As the results of calculations with these two methods, it is necessary to add 5 units of dump trucks with different distributions. Based on the Match Factor method, the total production achieved is 4,194,256 BCM with a cost of Rp 6,483 /BCM. Meanwhile, based on the linear programming method of 4,214,835 BCM for at Rp 6,462 /BCM.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Rizkyah Erwanda AU - Ari Yanuar Ridwan AU - Prafajar Suksessannp Muttaqin PY - 2022 DA - 2022/02/01 TI - Optimization of Heavy Equipment Costs in Coal Mining Overburden Production Using Match Factor and Linear Programming BT - Proceedings of the Conference on Broad Exposure to Science and Technology 2021 (BEST 2021) PB - Atlantis Press SP - 323 EP - 331 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.220131.049 DO - 10.2991/aer.k.220131.049 ID - Erwanda2022 ER -