  Due to the complication of the presented problem, intelligent algorithms show
great power to solve the parts logistics optimization problem related to the
vehicle routing problem (VRP). However, most of the existing research to VRP
are incomprehensive and failed to solve a real-work parts logistics problem.
  In this work, towards SAIC logistics problem, we propose a systematic
solution to this 2-Dimensional Loading Capacitated Multi-Depot Heterogeneous
VRP with Time Windows by integrating diverse types of intelligent algorithms,
including, a heuristic algorithm to initialize feasible logistics planning
schemes by imitating manual planning, the core Tabu Search algorithm for global
optimization, accelerated by a novel bundle technique, heuristically algorithms
for routing, packing and queuing associated, and a heuristic post-optimization
process to promote the optimal solution.
  Based on these algorithms, the SAIC Motor has successfully established an
intelligent management system to give a systematic solution for the parts
logistics planning, superior than manual planning in its performance,
customizability and expandability.
