SYSTEM DYNAMIC MODELING FOR ANALYZING FUEL RATIO OF OVERBURDEN TRUCK IN PIT INUL LIGNIT PT. KALTIM PRIMA COAL

The fuel ratio has always been an interesting discussion point in various industries, including in the coal mining industry. By setting the right fuel consumption for the production process, production costs can be saved and profits can be increased. At the company, the average fuel cost is about...

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Bibliographic Details
Main Author: Rusmawati, Yulia
Format: Theses
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/62707
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The fuel ratio has always been an interesting discussion point in various industries, including in the coal mining industry. By setting the right fuel consumption for the production process, production costs can be saved and profits can be increased. At the company, the average fuel cost is about 24% of the total production cost. This figure needs to be lowered so that the company can increase its profits. The activity that consumes the most fuel is the process of removing the overburden transported by dump trucks. One method to analyze the efficiency of fuel use is to use system dynamics modeling, where all the variables related to this activity are depicted in a cause-and-effect diagram which will eventually form a feedback loop or growth circle, known as the Causal Loop Diagrams (CLD). With CLD the problem will be easier to analyze, it is easy to know which variable is the cause and which is the effect, so that the solution will be easy to find. From the causal loop diagram, the analysis can be continued by making Stock and Flow Diagrams (SFD), so that these variables can be calculated for numerical analysis. From the modeling results, it is known that the causes of the increase in the fuel ratio are factors that affect the engine load of the truck, such as road conditions, truck payload, operator behavior, and the truck engine conditions. From the results of the model scenario based on the assumptions of the team in the field, it is known that the scenario by simultaneously making improvements to these four factors will be able to reduce the fuel ratio by up to 24%.