Two-level vehicle routing with cross-docking in a three-echelon supply chain: A Genetic algorithm approach

Abstract:

This project presents a model that considers two-level vehicle routing together with cross-docking. The model would be applicable to the SCs of large manufacturers and retailers including multiple cross-docks, such as Wal-Mart’s SC network, given a set of suppliers and cross docks already in place – determined at the strategic level. By considering the transportation costs and the fact that a given product type may be supplied by different suppliers at different prices, the routing of inbound vehicles between cross-docks and suppliers in the pickup process and the routing of outbound vehicles between cross-docks and retailers in the delivery process are determined. The goal is to assign products to suppliers and cross-docks, to optimize the routes and schedules of inbound and outbound vehicles, and to consolidate products so that the sum of the purchasing, transportation, and holding costs is minimized. A genetic algorithm is developed for the problem, and the algorithm performance is validated by a numerical example. The aim of this project would be mainly to develop a solid framework to build upon for the future of cross-docking implemented using genetic algorithm. The project initially focuses on an elaborate literature review of previous work to get a complete understanding of the gaps in cross-docking that need more work. Then, we understand the problem at hand to formulate a mathematical model. Eventually, this model is solved using a genetic algorithm and the results are discussed.

Advisor: Dr. Vittaldas V. Prabhu Professor of Industrial Engineering

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Work Title Two-level vehicle routing with cross-docking in a three-echelon supply chain: A Genetic algorithm approach
Access
Open Access
Creators
  1. Palaniappan M
Keyword
  1. Genetic Algorithm
  2. Chromosomes
  3. Cross Docks
  4. Vehicle Routing
License In Copyright (Rights Reserved)
Work Type Research Paper
Publication Date 2021
DOI doi:10.26207/cs6r-8141
Deposited March 22, 2021

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    Description
    • Abstract:
    • This project presents a model that considers two-level vehicle routing together with cross-docking. The model would be applicable to the SCs of large manufacturers and retailers including multiple cross-docks, such as Wal-Mart’s SC network, given a set of suppliers and cross docks already in place – determined at the strategic level.
    • By considering the transportation costs and the fact that a given product type may be supplied by different suppliers at different prices, the routing of inbound vehicles between cross-docks and suppliers in the pickup process and the routing of outbound vehicles between cross-docks and retailers in the delivery process are determined.
    • The goal is to assign products to suppliers and cross-docks, to optimize the routes and schedules of inbound and outbound vehicles, and to consolidate products so that the sum of the purchasing, transportation, and holding costs is minimized. A genetic algorithm is developed for the problem, and the algorithm performance is validated by a numerical example.
    • The aim of this project would be mainly to develop a solid framework to build upon for the future of cross-docking implemented using genetic algorithm. The project initially focuses on an elaborate literature review of previous work to get a complete understanding of the gaps in cross-docking that need more work. Then, we understand the problem at hand to formulate a mathematical model. Eventually, this model is solved using a genetic algorithm and the results are discussed.
    • Advisor:
    • Dr. Vittaldas V. Prabhu
    • Professor of Industrial Engineering
    • Paper Advisor
    • Professor of Industrial Engineering
    License
    • https://rightsstatements.org/page/InC/1.0/
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