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Published on 12 June 2024
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Wang,L.;Li,Y.;Wu,Y.;Sun,W. (2024). Selection and Research of Resource Allocation Scheme for Shuttle Transport Based on FlexSim. Journal of Applied Economics and Policy Studies,6,12-17.
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Selection and Research of Resource Allocation Scheme for Shuttle Transport Based on FlexSim

Lianfan Wang 1, Yanyi Li *,2, Yuqin Wu 3, Wenying Sun 4
  • 1 Tianjin University of Science and Technology
  • 2 Tianjin University of Science and Technology
  • 3 Tianjin University of Science and Technology
  • 4 Tianjin University of Science and Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2977-5701/6/2024040

Abstract

Against the backdrop of the rapid development of the shuttle transport industry, the selection of car transporters and resource allocation has become the focus of enterprises. Based on the actual operations of FAW Logistics Company, we used FlexSim simulation software to construct a highly realistic shuttle transport model. This model conducted a comprehensive simulation analysis of the performance of three mainstream car transporters over an 8-kilometer shuttle transport route. Through detailed mathematical processing, we derived the optimal scheme with the lowest procurement cost. This scheme was not only validated through FlexSim simulation but also provided a feasible solution for car companies in selecting car transporters and allocating resources in shuttle transport, with significant theoretical and practical guiding significance.

Keywords

FlexSim, shuttle transport, resource allocation, car transporter

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Cite this article

Wang,L.;Li,Y.;Wu,Y.;Sun,W. (2024). Selection and Research of Resource Allocation Scheme for Shuttle Transport Based on FlexSim. Journal of Applied Economics and Policy Studies,6,12-17.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Journal of Applied Economics and Policy Studies

Volume number: Vol.6
ISSN:2977-5701(Print) / 2977-571X(Online)

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