Title: Vehicle scheduling model of emergency logistics distribution based on internet of things

Authors: Chang Qing

Addresses: Department of Computer and Information Engineering, Xinxiang University, Xinxiang 453003, China

Abstract: Considering that emergency logistics distribution has the timeliness, weak economy, and the traffic road condition and so on, based on reasonable assumptions, we effectively scheduled vehicles to maximise the demand for emergency logistics within the requested time. This paper proposes an emergency logistics vehicle scheduling model based on internet of things. Firstly, we built the model of emergency logistics distribution vehicle scheduling problem. Our research built a model of emergency logistics distribution vehicle scheduling by using the model of division time, and gave the interrelation of constraint condition. On this basis, this paper combined genetic algorithm and ant colony algorithm for the vehicle scheduling model design and parameter selection, which improved the efficiency of emergency logistics distribution. Simulation results show that the proposed model can effectively increase the transport efficiency and reduce transportation costs, and has strong practical value. It is suited for post-disaster emergency logistics distribution vehicle scheduling.

Keywords: internet of things; emergency logistics; vehicle scheduling model; simulation.

DOI: 10.1504/IJADS.2018.088635

International Journal of Applied Decision Sciences, 2018 Vol.11 No.1, pp.36 - 54

Received: 27 Mar 2017
Accepted: 29 May 2017
Published online: 13 Dec 2017 *

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