Reverse Logistics Digital Twin (RLDT) is AI application for supply of repaired parts.

RLDT characterizes how the usage-driven for part fleet maintenance, repair performance, and logistics delays lead to part availability risks. Unique features of RLDT AI include:

  • AI/ML recovery of stocks and flows model from data. The models are understood by logisticians.
  • Demand forecasting based on fleet usage and reliability prediction.
  • Analysis of part availability risk using methods for risk management proven in finance industry.
  • Trends and forecasts of stocks, flows, and part availability risks, based on usage.
  • Computing process changes needed for desired availability. In addition to parts stocks, the AI finds the impact of changes in reliability, repairs, logistics process.
  • Cost-benefit analysis of predictive maintenance that accounts for earlier removals caused by false failure predictions.