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Research on joint vehicle routing optimization considering multiple distribution centers.

Di Liu1, Mengchi Li2, Yushun Lei3

  • 1School of Sciences and Arts, Guangzhou Maritime University, Guangzhou, China.

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Summary
This summary is machine-generated.

This study presents an integer programming model and column generation algorithm to optimize urban vehicle delivery networks. The methods efficiently select distribution centers and plan routes, minimizing total transportation time.

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Area of Science:

  • Operations Research
  • Logistics Management
  • Urban Planning

Background:

  • Efficient urban distribution is crucial for supply chain performance.
  • Current distribution networks face challenges in selecting optimal distribution centers and planning delivery routes.
  • Minimizing transportation time is a key objective in urban logistics.

Purpose of the Study:

  • To develop an integer programming model for urban vehicle delivery networks.
  • To design a column generation algorithm tailored for distribution center selection and route planning.
  • To minimize total transportation time in urban logistics.

Main Methods:

  • Formulation of an integer programming model for the urban vehicle delivery network.
  • Development of a class of column generation algorithms.
  • Utilizing CPLEX for comparative analysis of example solutions.

Main Results:

  • The proposed column generation algorithm demonstrates feasibility.
  • The planning model proves practical for real-world urban logistics scenarios.
  • Analysis of examples generated from actual data validates the model's effectiveness.

Conclusions:

  • The developed model and algorithm offer an efficient solution for urban distribution challenges.
  • Effective distribution center selection and route planning can significantly reduce transportation time.
  • The study provides a practical framework for optimizing urban vehicle delivery networks.