Strategy in Dispatching Trucks and Shovels with Different Capacity to Increase the Operating Efficiency in Cao Son Surface Coal Mine, Vietnam

In surface mining operations, the operating costs of truck-shovel system constitutes 50-60% ofthe total. Only a little save in the operation costs in this system will bring large profit for the mines. Dueto many investment periods, the capacity of both trucks and shovels in Cao Son surface coal mine isdifferent. This leads to the low efficiency and the difficulty in dispatching strategy for the mine. Thispaper presents the current situation and selection of advanced dispatching strategy for increasing theefficiency trucks and shovels at this surface coal mine. The results show the detailed match factor reflectsthe state of each team of loader and trucks and should be use as the indicator for dispatching decision forthe heterogeneous truck and shovel fleet at Cao Son surface coal mine.

STUDY OF PRODUCTIVITY ANALYSIS OF DIGGING LOADING IN GRAVEL MINING IN PT. GALUH CEMPAKA DISTRICTS CEMPAKA CITY BANJARBARU SOUTH KALIMANTAN PROVINCE

Galuh Cempaka Ltd. is a Gravel Mining Company with an area of 2,994 Ha. The mining system was surface mine or open pit. There are several things which should move in dig and load activities, such as mechanical soil, productivity, and compatibility of loading and conveying equipment are important factors in gravel mining activities. It influences on how far to know the effective work hour and the productivity. The purpose of this research was to determine work efficiency in Galuh Cempaka Ltd, and calculate the productivity of each equipment and the Match Factor value of the loading and conveying equipment in mining activity. From the observation and data processing, it obtained 1 unit of excavator Komatsu PC 400LC, wasingplan as far as 1.5 km. The effective work time was obtained work efficiency of 0.82 and after it was conducted the efficiency become 0.83 and it was reduced the obstacles from excavator CAT 320D. Before digging toll productivity got optimizing from CAT 320D in gravel excavation, it got 94.2 tons/hour and after it got optimizing from CAT 320D excavator in gravel excavation, it obtained 99.6 tons/hours and the IVECO 380 dump truck for gravel loading was 125.55 tons /hour. It obtained Match Factor Overburden (08) < 1. it means it is less than 1. So, there was waiting time for transportation equipment which had not arrived yet. Match Factor Gravel (1.2) > 1 means more than 1. So, there was a waiting time for transportation because the digging tool was filled.

Optimization of Heavy Equipment Capabilities in The Framework of Productivity and Coal Mining Business Sustainability: Case Study of East Kalimantan Mining Area

Coal mining business is now faced with various challenges such as export restrictions policy, an increase in value added products, and the decline in market prices of products. To be able to compete, mining companies are expected to increase productivity and efficiency and make continuous improvements in the production process. In the mining process, the availability of equipment and dump truck unloading tool will determine the sustainability of production that have an impact on productivity and efficiency. The purpose of this study was to optimize the production of coal mining in the context of the efficient use of equipment using the match factor, queues, and linear programming. The research location is in the area of the mining concession contractor KTD Corp is in the village of Embalut, District Tenggarong Seberang, Kertanegara Kutai Regency, East Kalimantan in October-November 2015. Unloading equipment used backhoe excavator is 5 units and 32 units of dump trucks. The simulation results match factor generated by the method optimal dump truck needs 26 units, while the queuing method and linear programming as much as 25 units of dump truck. The results of production optimization with linear programming method produced mining productivity of 1,208 BCM of overburden per hour with the optimum cost of $ 0,909/BCM.

Optimization of Heavy Equipment Capabilities in The Framework of Productivity and Coal Mining Business Sustainability: Case Study of East Kalimantan Mining Area

Coal mining business is now faced with various challenges such as export restrictions policy, an increase in value added products, and the decline in market prices of products. To be able to compete, mining companies are expected to increase productivity and efficiency and make continuous improvements in the production process. In the mining process, the availability of equipment and dump truck unloading tool will determine the sustainability of production that have an impact on productivity and efficiency. The purpose of this study was to optimize the production of coal mining in the context of the efficient use of equipment using the match factor, queues, and linear programming. The research location is in the area of the mining concession contractor KTD Corp is in the village of Embalut, District Tenggarong Seberang, Kertanegara Kutai Regency, East Kalimantan in October-November 2015. Unloading equipment used backhoe excavator is 5 units and 32 units of dump trucks. The simulation results match factor generated by the method optimal dump truck needs 26 units, while the queuing method and linear programming as much as 25 units of dump truck. The results of production optimization with linear programming method produced mining productivity of 1,208 BCM of overburden per hour with the optimum cost of $ 0,909/BCM.

Optimization of Heavy Equipment Capabilities in The Framework of Productivity and Coal Mining Business Sustainability: Case Study of East Kalimantan Mining Area

Coal mining business is now faced with various challenges such as export restrictions policy, an increase in value added products, and the decline in market prices of products. To be able to compete, mining companies are expected to increase productivity and efficiency and make continuous improvements in the production process. In the mining process, the availability of equipment and dump truck unloading tool will determine the sustainability of production that have an impact on productivity and efficiency. The purpose of this study was to optimize the production of coal mining in the context of the efficient use of equipment using the match factor, queues, and linear programming. The research location is in the area of the mining concession contractor KTD Corp is in the village of Embalut, District Tenggarong Seberang, Kertanegara Kutai Regency, East Kalimantan in October-November 2015. Unloading equipment used backhoe excavator is 5 units and 32 units of dump trucks. The simulation results match factor generated by the method optimal dump truck needs 26 units, while the queuing method and linear programming as much as 25 units of dump truck. The results of production optimization with linear programming method produced mining productivity of 1,208 BCM of overburden per hour with the optimum cost of $ 0,909/BCM.

EVALUASI REALISASI PENAMBANGAN BATUBARA TERHADAP RENCANA BLOK PENAMBANGAN PT BUKIT ASAM TBK

PT Bukit Asam Tbk. merupakan perusahaan yang bergerak dalam bidang industri pertambangan batubara dan memiliki target produksi batubara sebesar 426.000 ton dan pada pengupasan overburden 534.000 BCM pada bulan Oktober 2019 di site Banko Barat pit 1 Timur. Penelitian ini bertujuan untuk mengetahui persentase ketercapaian target produksi batubara, faktor yang menyebabkan ketidaktercapaian antara rencana blok penambangan yang telah direncanakan oleh perusahaan dengan aktivitas kegiatan dilapangan dan mengetahui kesesuaian rencana blok penambangan terhadap realisasi aktivitas penambangan di lapangan. Evaluasi ini dilakukan dengan melakukan perhitungan produktivitas excavator dan dumptruck tiap fleet, match factor dan waktu kerja efektif serta membandingkan hasil overlay dan perhitungan daerah in of plan, undercut dan overcut terhadap target produksi dilakukan menggunakan software MineScape 5.7. Hasil dari penelitian ini adalah realisasi produksi bulan Oktober 2019 adalah 84,53% dari 426.000 ton yaitu 360.119,37 ton untuk batubara dan 126.53% dari 534.000 BCM yaitu 675.690,22 BCM untuk pengupasan overburden. Sehingga perhitungan hasil overcut adalah 247.919 m3 dan undercut adalah 299.381,49 m3. Faktor yang menyebabkan ketidaktercapaian adalah kondisi penempatan fleet, produktivitas alat gali muat dan alat angkut, jarak front penambangan ke tempat dumphingan dan waktu kerja effektif yang tidak sesuai. Pengaruh ketidaktercapaian realisasi rencana blok penambangan berdampak pada volume eksposan batubara dan pengupasan overburden untuk bulan selanjutnya serta nilai stripping ratio. Adapun upaya yang bisa dilakukan untuk mengatasi ketidaktercapaian tersebut adalah penjadwalan ulang pada alat gali muat dan alat angkut tiap fleet dan jumlah alat dalam satu fleet.

Analisis Hubungan Antara Peningkatan Travel Speed Truck dengan Match Factor untuk Menunjang Efisiensi Pengoperasian Truck pada Operasi Penambangan Pit Inul East P2B, HATARI Department, PT Kaltim Prima Coal

Pit Inul East P2B merupakan salah satu area operasional Hatari Department,selain Pit Inul Middle. Berdasarkan plan 2018 material overburden 50.941 kbcmdari Pit Inul East P2B dialokasikan di AB void dump dengan jarak tempuh 4,2 Km. Tantangan besar dalam operasional Pit Inul East adalah dump sequence yang semakin menjauh dan tuntutan untuk menciptakan praktek operasional yang efisien agar tetap menjadi industri pertambangan yang kompetitif. Sebagai persiapan agar Pit Inul East P2B dapat beroperasi sesuai rencana produksi dan cycle time tetap sesuai target, maka pertengahan tahun 2017 technical section Hatari Department menyampaikan gagasan membuat “jalan bebas hambatan” untuk dump truck. Technical section Hatari Department melakukan kajian secara komprehensif hubungan peningkatan travel speed truck dengan match factor. Tujuan akhir dari analisis tersebut adalah menetapkan guide line jumlah truck yang beroperasi bagi operation, serta menganalisis opportunity melakukan internal park up. Gagasan yang disampaikan oleh technical Hatari adalah menciptakan jalan bebas hambatan dengan panjang 4.2 km dengan kualitas jalan meminimalkan undulasi dan memisahkan jalur overburden truck dengan jalur kendaraan ringan, bahkan dengan coal truck. Sehingga truck mampu mengoptimalkan kecepatannya dan meminimalkan cycle time. Project travel speed diberi nama “Everest Road” dan ditargetkan awal tahun 2018 dapat digunakan. Dasar pemikiran Project Everest Road adalah rumus kecepatan dan match factor. Dalam rumus match factor, jumlah truck berbanding terbalik dengan cycle time. Kecepatan merupakan jarak tempuh dibagi waktu tempuh (cycle time). Cycle time berbanding terbalik dengan kecepatan, jika kecepatan maksimal tentu akan menghasilkan cycle time minimal. Sehingga dengan travel speed yang optimal akan menghasilkan cycle time minimal dan pengoperasian truck lebih sedikit atau lebih efisien.Project Everest Road mulai dikerjakan akhir tahun 2017 dan mulai digunakanJanuari 2018. Konsekuensi pengoptimalan kecepatan truck tentu akan berimbasakan munculnya debu dan diperlukan penambahan safety control. Untukmengontrol keselamatan akibat munculnya kenaikan kecepatan truck, maka dilakukan Risk Assessment. Sedangkan kontrol aspek lingkungan akibat timbulnya debu tetap mengacu pada Kepmen 1827K/MEM/30/2018, Pengelolaan Lingkungan Hidup Pada Kegiatan Pengangkutan. Selama penggunaan jalur Everest Road mampu menaikkan travel speed menjadi, sehingga menekan cycle time AB void dump 3.79 menit dan Hatari mampu melaksanakan effisiensi internal park up 3 trucks EH4500.

EVALUASI SINGKRONISASI ALAT GALI MUAT PC 400 DAN ALAT ANGKUT HINO FM 260 DALAM PENCAPAIAN TARGET PENAMBANGAN BATUBARA

Permasalahan yang umumnya timbul pada operasi penambangan adalah masalah ketidaktercapaian target produktivitas alat gali muat yang terkendala faktor-faktor teknis ataupun ketidaksesuain terhadap armada. Sehingga perlu adanya evaluasi untuk mengkaji secara lebih detail faktor-faktor apa saja yang menjadi permasalahan sehingga evaluasi tersebut bisa dijadikan sebagai acuan untuk perencanaan serta pelaksanaan kegiatan produksi di periode berikutnya.Berdasarkan itulah makadilakukan evaluasi pencapaian target produktivitas alat gali muat pada bulan Maret 2015 serta faktor–faktor yang mempengaruhi pencapaian target produktivitas alat gali muat bulan Maret 2015 yang dapat digunakan sebagai acuan untuk pencapaian target produksi bulan selanjutnya.Hasil penelitian telah dilakukan didapatkan hasil produktivitas alat angkut aktual sebesar 10,05 ton/jam dan target untuk alat gali muat adalah 27 ton/jam per unit. Sehinggadilakukan perbaikan terhadap cycle time alat angkut, peningkatan bucket fill factor, peningkatan jumlah MA dan peningkatan EU. Dari perbaikan tersebut didapatkan peningkatan nilai produktivitas alat angkut menjadi 27,69 ton/jam. Sedangkan dari data produktivitas aktual untuk alat gali muat adalah 148,01 ton/jam dengan target sebesar 210 ton/jam makadilakukan usaha untuk mengurangi jumlah cycle time serta peningkatan efisiensi kerja. Sehingga terjadi peningkatan produktivitas alat angkut menjadi 213,19 ton/jam. Hal tersebut berpengaruh terhadap match factor yang sebelumnya adalah 0,74 meningkat menjadi 0,84.