Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment

There are many factors involved in the layout optimization of cabin equipment, and human factors should be considered in the early stage of layout design. Human reliability is an effective index to evaluate the probability of success of the human completion of tasks. In order to put forward the meth...

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Autores principales:	Xiangbin Meng, Hai Sun, Jichuan Kang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	layout optimization of cabin equipment HRA genetic algorithm visibility graph algorithm Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
Acceso en línea:	https://doaj.org/article/4414f47ec3cd40fa95015f9bd80b274a
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id	oai:doaj.org-article:4414f47ec3cd40fa95015f9bd80b274a
record_format	dspace
spelling	oai:doaj.org-article:4414f47ec3cd40fa95015f9bd80b274a2021-11-25T18:04:52ZEquipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment10.3390/jmse91112632077-1312https://doaj.org/article/4414f47ec3cd40fa95015f9bd80b274a2021-11-01T00:00:00Zhttps://www.mdpi.com/2077-1312/9/11/1263https://doaj.org/toc/2077-1312There are many factors involved in the layout optimization of cabin equipment, and human factors should be considered in the early stage of layout design. Human reliability is an effective index to evaluate the probability of success of the human completion of tasks. In order to put forward the method of human reliability which is more suitable for the layout optimization of cabin equipment, the existing methods of human reliability analysis (HRA) are systematically studied. At the same time, taking HRA, equipment correlation and cabin balance as objective functions, the optimization problem of cabin equipment layout was quantified into a mathematical model. When solving the model, the visibility graph method was used to model the cabin path planning, and a solution platform for the optimization of cabin equipment layout was developed on the basis of a genetic algorithm. Finally, the developed platform was applied with a ship example, and the results before and after the layout optimization were displayed through a three-dimensional model. At the same time, equipment layout evaluation software was used to simulate the experimental results so as to compare the improvement of important parameters before and after the layout optimization.Xiangbin MengHai SunJichuan KangMDPI AGarticlelayout optimization of cabin equipmentHRAgenetic algorithmvisibility graph algorithmNaval architecture. Shipbuilding. Marine engineeringVM1-989OceanographyGC1-1581ENJournal of Marine Science and Engineering, Vol 9, Iss 1263, p 1263 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	layout optimization of cabin equipment HRA genetic algorithm visibility graph algorithm Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581
spellingShingle	layout optimization of cabin equipment HRA genetic algorithm visibility graph algorithm Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Xiangbin Meng Hai Sun Jichuan Kang Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment
description	There are many factors involved in the layout optimization of cabin equipment, and human factors should be considered in the early stage of layout design. Human reliability is an effective index to evaluate the probability of success of the human completion of tasks. In order to put forward the method of human reliability which is more suitable for the layout optimization of cabin equipment, the existing methods of human reliability analysis (HRA) are systematically studied. At the same time, taking HRA, equipment correlation and cabin balance as objective functions, the optimization problem of cabin equipment layout was quantified into a mathematical model. When solving the model, the visibility graph method was used to model the cabin path planning, and a solution platform for the optimization of cabin equipment layout was developed on the basis of a genetic algorithm. Finally, the developed platform was applied with a ship example, and the results before and after the layout optimization were displayed through a three-dimensional model. At the same time, equipment layout evaluation software was used to simulate the experimental results so as to compare the improvement of important parameters before and after the layout optimization.
format	article
author	Xiangbin Meng Hai Sun Jichuan Kang
author_facet	Xiangbin Meng Hai Sun Jichuan Kang
author_sort	Xiangbin Meng
title	Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment
title_short	Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment
title_full	Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment
title_fullStr	Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment
title_full_unstemmed	Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment
title_sort	equipment layout optimization based on human reliability analysis of cabin environment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4414f47ec3cd40fa95015f9bd80b274a
work_keys_str_mv	AT xiangbinmeng equipmentlayoutoptimizationbasedonhumanreliabilityanalysisofcabinenvironment AT haisun equipmentlayoutoptimizationbasedonhumanreliabilityanalysisofcabinenvironment AT jichuankang equipmentlayoutoptimizationbasedonhumanreliabilityanalysisofcabinenvironment
_version_	1718411613598384128

Equipment Layout Optimization Based on Human Reliability Analysis of Cabin Environment

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