A large Australian network of coal mines wanted to reduce its capital locked in spares inventory. Remote location, wide-ranging dollar value, and implications of a shortage of spares required innovatively handling the problem. We studied historical data, segmented spares based on consumption volume, value and frequency, and provided customized distribution based probabilistic re-order levels. Our solution provided a risk-indexed capital saving of 20-25%.
