A novel approach to study real-time dynamic optimization analysis and simulation of complex mine logistics transportation hybrid system with belt and surge links
type: Item
instance of: scholarly article
title: A novel approach to study real-time dynamic optimization analysis and simulation of complex mine logistics transportation hybrid system with belt and surge links
zbMATH Open document ID: 1418.90043
DOI: 10.1155/2015/601578
author: Xiao-ping Bai
author: Yuhong Zhao
author: Yanan Liu
published in: Discrete Dynamics in Nature and Society
publication date: 2019-02-19T00:00:00Z
review text: Summary: The mine logistics transportation system with belt and surge links is often formed by a complex hybrid dynamic system that consists of continuous and discrete links, and these parts can have the complex changes along with the mining engineering going on. Studying the hybrid system with belt and surge links to fully realize its beneficial functions is very significant. Until now, there have been many references studying the logistics transportation hybrid system with belt and surge links, and many concepts about it have been set up. However, in these references, complicated real-time dynamic changes of the hybrid system usually is studied. This paper presents a novel approach to study real-time dynamic optimization analysis and simulation problems of complex mine logistics transportation hybrid system, which can be used to make optimization design for this kind of complex hybrid system. The proposed method considered expressly complicated real-time dynamic changing of the hybrid system comparing with some existing references and can solve some optimization design problems of the hybrid system. In addition, this paper used statistical data of a real logistics transportation system with belt and surge bin on simulation and gets some useful conclusions. The application result shows that the presented method is valid.
Mathematics Subject Classification ID: 90B06
zbMATH DE Number: 7025420
Wikidata QID: Q59106027
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/601578
OpenAlex ID: W2094512080
description: scientific article; zbMATH DE number 7025420