Two-level vehicle routing with cross-docking in a three-echelon supply chain: A Genetic algorithm approach
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
|Work Title||Two-level vehicle routing with cross-docking in a three-echelon supply chain: A Genetic algorithm approach|
|License||In Copyright (Rights Reserved)|
|Work Type||Research Paper|
|Deposited||March 22, 2021|
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