inEARTHMOVING PRODUCTIVITY ESTIMATION USING GENETIC ALGORITHM

Shawki, K. M.; El-Razek, Mohamed Emam Abd; Abdulla, N.

doi:10.21608/jesaun.2009.126488

Cited by 1 publication

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most popular linear programming method used by researchers to optimize production schedules (Adadzi, 2013;Franik & Franik, 2009;Kumar, 2014;Morley, 2013;Nel et al, 2011;Newman et al, 2010;Shawki et al, 2009) and minimizing production costs (Adadzi, 2013;Bascetin & Ercelebi, 2009;Franik & Franik, 2009;Morley et al, 2012;Savic & Jancovic, 2006). Some researchers propose the use of the queuing method to evaluate the dump truck cycle for optimization of production schedules (Alkass, 2003;Cetin, 2004;Coronado, 2014;May, 2012).…”

Section: Introductionmentioning

confidence: 99%

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

Permana¹,

Ubud²,

Kanto³

2020

jeb

View full text Add to dashboard Cite

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.

show abstract