A leading coal operator in the region, Adaro rely on river transportation for their coal mining operations in the Kalimantan province of Indonesia. Its fleet of 40 to 45 barges ferry the coal through the 1,090km long Barito river arriving at the destination port for the seaborne coal trade.
The hourly and seasonal fluctuations can see certain segments of the river completely dry up, resulting in barges being stranded, damaged, and incur a safety risk to its operators. When water level is too high, barges sailing through certain segments of the river are at risk of collision with the canal bridges at different junctures of the Barito river.
Without the combination of data and predictive analytics, operators have limited means of knowing in advance the water level at different points of the river, and sailing on water level that is either too low or too high can have expensive and devastating consequences, from a personnel safety perspective in addition to causing operational and logistical disruption, both of which are extremely costly.
Operations and Logistics Planning department have difficulty in ensuring the right amount of barges are provisioned beforehand if there is no way of forecasting the number of sailable days. Teams on the ground have to rely on gut instincts in deciding on an appropriate load capacity taking into consideration the fluctuating water level along Barito river.