Water truck routing and scheduling optimization in mining operations with inventory function based on mixed integer linear programming

Indonesia is one of the countries with the largest mining resources in the world, and this sector contributes a lot to the country's economy. However, the negative impacts resulting from this sector are also not to be taken lightly, especially for the environment. One of the pollution produced is dust contamination. If not addressed, it will cause various health and safety disorders in the mine. For that, the use of water trucks became common in mining to water the streets. It takes careful planning on the activity of water trucks in the mines to maximize their effectiveness. Therefore, this study aims to build a route design and water truck scheduling using Mixed Integer Linier Programming that effectively reduce dust pollution. The result of this research is a route and schedule arrangement for water truck that can be used to guide the activity of water truck in mining and penalty calculation for each scenario.