Hauling Equipment Assessment Process Case Study: Pt Borneo Indobara
DOI:
https://doi.org/10.46799/ajesh.v4i6.640Keywords:
analytic hierarchy process, lice cycle cost analysis, heavy equipment selection, benefit-cost evaluation, production capacity planningAbstract
BIB is one of the largest mining company in Indonesia in terms of production. In 2023, BIB produce 42.1 million tons of coal and still grows. BIB plans production level above 50 millions tons starting in 2025. However, this plan is challenged by the limited capacity of the company's hauling road. Internal study conducted by company stated that monthly hauling road capacity is 4.3 million tons of coal so there will be 1,13 million tons gap in 2025. Company challenges to increase its production caused by the use of 20-ton hauling trucks. Replacing existing hauling truck with a larger capacity is a solution to company's problems. There are 3 options considered by company, Mercedes-Benz Arocs 4845K, FAW HD420DT and Scania P460 LA. In identifying best truck options for BIB, this study uses Analytical Hierarchy Process (AHP) and Life Cycle Cost (LCC). AHP used to quantify benefit of options from several criteria such as capacity, maintenance, speed, and equipment specifications which are divided into dumping types and horsepower per ton. LCC is used to quatify cost of options. Final result then consolidated with benefit cost ratio to obtain the best truck options for company. BCR results that FAW HD420DT is the best choice for company. In terms of benefit, FAW scored 57% better than Mercedes-Benz (56%) and Scania (28%). In terms of cost, FAW's production cost of IDR 1,085/Ton.KM is lower than Mercedes-Benz's (IDR 1,244/Ton.KM) but higher than Scania's (IDR 1,002/Ton.KM). Transition of existing trucks with FAW HD420 DT will be carried out throughout 2025 to mid-2028. During the transition, the company will use third-party haul roads for some of its activities temporarily. Replacing existing trucks with FAW enables company to achive production level above 50 million tons of coal per year.
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