Dynamic RTI Repositioning with IoT Technology

This study addresses the potential increase in effiency of Returnable Transport Item (RTI) logistics. Specifically, the study addresses how dynamic RTI repositioning can be implemented under a depot RTI control strategy. This study proposes a parametric and sequantial routing heuristic which plans forward logistics and reverse logistics sequentially. Parameter settings are optimized through Optimal Learning techniques. Results show that a hybrid RTI control strategy, in which RTIs are both repositioned along side the depot control strategy, increase RTI logistics efficiency.