Research on Vehicle Routing Problem in Auto Parts Inbound Logistics Based on Milk Run Mode

Authors

  • Ruyu Yang

DOI:

https://doi.org/10.54097/fbem.v9i2.9296

Keywords:

Inbound logistics, Milk run, Genetic algorithm, Inventory routing problem, Supply hub.

Abstract

The application of milk run in domestic automobile parts supply was studied. A mathematical model for routing a milk run system was formulated by minimizing the transportation and inventory cost under the restriction of tiered storage pricing scheme and multiple vehicle types. In solving the model, a modified genetic algorithm was developed, which is suitable for realistic sized problems. The utility of the approach was demonstrated through a computational experiment.

Downloads

Download data is not yet available.

References

Ohlmann J W, Fry M J, Thomas B W. Route design for lean production systems [J]. Transportation Science, 2008, 42(3): 352-370.

Chen Z, Sarker B R. An integrated optimal inventory lot-sizing and vehicle-routing model for a multisupplier single-assembler system with JIT delivery [J]. International Journal of Production Research, 2014, 52(17): 5086-5114.

Güner A R, Murat A, Chinnam R B. Dynamic routing for milk-run tours with time windows in stochastic time-dependent networks [J]. Transportation Research Part E: Logistics Transportation Review, 2017, 97: 251-267.

Downloads

Published

12-06-2023

Issue

Section

Articles

How to Cite

Yang, R. (2023). Research on Vehicle Routing Problem in Auto Parts Inbound Logistics Based on Milk Run Mode. Frontiers in Business, Economics and Management, 9(2), 262-268. https://doi.org/10.54097/fbem.v9i2.9296