Intelligent Solution System towards Parts Logistics Optimization

TL;DR

This paper presents an integrated intelligent system combining multiple algorithms to optimize parts logistics in vehicle routing, significantly improving over manual planning in efficiency and flexibility.

Contribution

It introduces a comprehensive, multi-algorithm approach tailored for real-world parts logistics, addressing limitations of previous VRP solutions.

Findings

System outperforms manual planning in efficiency

Enhanced flexibility and customization achieved

Successful implementation in SAIC logistics system

Abstract

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.