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Intelligent Solution System Towards Parts Logistics Optimization

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Optimization of Complex Systems: Theory, Models, Algorithms and Applications (WCGO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 991))

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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 researches to VRPs 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.

Jointly supported by Natural Sciences Foundation of China under Grant (No. 61673119), the key project of Shanghai Science & Technology (No. 16JC1420402), Shanghai Municipal Science and Technology Major Project (No. 2018SHZDZX01) and ZHANGJIANG LAB, the Shanghai Committee of Science and Technology (Grant No. 14DZ1118700).

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Author information

Authors and Affiliations

  1. Fudan University, Shanghai, China

    Yaoting Huang, Boyu Chen & Wenlian Lu

  2. Key Laboratory for Contemporary Applied Mathematics, Shanghai, China

    Wenlian Lu

  3. Key Laboratory of Mathematics for Nonlinear Science, Ministry of Education, Fudan University, Shanghai, China

    Wenlian Lu

  4. Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China

    Wenlian Lu

  5. SAIC Motor Artificial Intelligence Laboratory, Shanghai, China

    Zhong-Xiao Jin & Ren Zheng

Authors
  1. Yaoting Huang
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  2. Boyu Chen
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  3. Wenlian Lu
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  4. Zhong-Xiao Jin
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  5. Ren Zheng
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Corresponding author

Correspondence to Yaoting Huang .

Editor information

Editors and Affiliations

  1. Computer science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

    Hoai An Le Thi

  2. Computer Science and Applications Department, LGIPM, University of Lorraine, Metz Cedex 03, France

    Hoai Minh Le

  3. Laboratory of Mathematics, National Institute for Applied Sciences (INSA)-Rouen Normadie, Saint-Étienne-du-Rouvray Cedex, France

    Tao Pham Dinh

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Huang, Y., Chen, B., Lu, W., Jin, ZX., Zheng, R. (2020). Intelligent Solution System Towards Parts Logistics Optimization. In: Le Thi, H., Le, H., Pham Dinh, T. (eds) Optimization of Complex Systems: Theory, Models, Algorithms and Applications. WCGO 2019. Advances in Intelligent Systems and Computing, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-21803-4_105

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