Title: Scheduling and monitoring on engineering vehicles based on IoT

Authors: Li Wan; Xiao Hu

Addresses: College of Intelligent Manufacturing, Hunan University of Science and Engineering, Hunan 425199, China ' College of Intelligent Manufacturing, Hunan University of Science and Engineering, Hunan 425199, China

Abstract: With the development of information technology, the traditional logistics industry is given an opportunity to improve the time to process information. In this paper, we design an intelligent logistics platform based on internet of things (IoT). The locations and dynamic data of vehicles are collected using intelligent equipment on the platform. Moreover, we build a mathematical model based on collected data for a transportation problem, which is solved by Lingo to obtain an intelligent schedule. Our solution of scheduling and monitoring of engineering vehicles based on IoT can help enterprises reduce operational costs and improve service quality.

Keywords: scheduling; monitoring; engineering vehicles; IoT; intelligent logistics.

DOI: 10.1504/IJITM.2023.131805

International Journal of Information Technology and Management, 2023 Vol.22 No.3/4, pp.190 - 202

Received: 12 Aug 2021
Accepted: 01 Nov 2021
Published online: 04 Jul 2023 *

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