Case Study: Minsk Automobile Plant achieves reduced spare-parts inventory and improved vehicle reliability forecasting with Altoros

Developing Methods and Algorithms for Evaluating Vehicle Reliability

“Minsk Automobile Plant” OJSC (MAZ), the largest state-owned vehicle manufacturer in Belarus with exports to more than 45 countries, needed reliable methods to evaluate vehicle reliability from censored, limited-size samples because it initially had no failure data over warranty periods, complicating parts supply and service planning. Altoros was engaged to create statistical methods, forecasting algorithms and a software solution to analyze censored failure and replacement-parts data and predict consumption and reliability over and after warranty periods.

Altoros implemented statistical analysis tools, trend-based forecasting algorithms and a software system to assess and forecast technical and economic performance from limited censored samples, and validated reliability for new MAZ models in real conditions. The solution let MAZ monitor control samples, determine standard parts consumption, reduce warehouse spare-part inventories, better schedule parts supply for discontinued models, improve service quality and customer satisfaction, and ultimately increase sales and overall revenue.

Minsk Automobile Plant