基于改进TOPSIS法的舰船通道人机效能

doi:10.3969/j.issn.0258-2724.2015.03.024

基金项目:

国家自然科学基金资助项目(41176074)

详细信息

作者简介:
廖全蜜(1990-),女,博士研究生,研究方向为舰船总体设计,E-mail:quanmi_liao@126.com

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- 文章访问数:884
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出版历程
- 收稿日期:2014-08-30
- 刊出日期:2015-06-25

Human Performance in Vessel Passages Based on Improved TOPSIS Method

摘要

摘要:为解决舰船初步设计阶段通道设计依据理论缺乏的问题,针对通道设计与舰员操作相互影响的特点,构建了基于人因工程的舰船通达性评估指标体系,将TOPSIS(technique for order preference by similarity to ideal solution)与灰色关联度法相结合,改进了TOPSIS计算方法.在此基础上,提出了综合考虑通达性与舰体空间资源的通道人机效能评估方法,对4种通道方案的通达性进行了仿真计算,分析了舰员100、150、200人3种人员配置下单、双通道方案的人机效能.实例仿真结果表明:舰员由150人增至200人时,单通道方案的人机效能优势开始明显下降,双通道方案的优势逐渐显现;根据舰员数量进行通道方案仿真评估,可达到通达性与空间资源利用率同时最优,获得较高的人机效能.
- 通道/
- 改进TOPSIS法/
- 人机效能/
- 评估方法
Abstract:To deal with the lack of design basis of passages during the initial vessel design, an evaluation index system of accessibility that is based on human factors engineering was built according to the feature of interaction between passage design and crew operation. An improved TOPSIS method was proposed by combining TOPSIS (technique for order preference by similarity to ideal solution) and grey relational method. Then, a human performance evaluation method was presented on the basis of accessibility and space resource. The changes of human performance of two single-passage alternatives and two double-passage alternatives with different crew numbers (100, 150, and 200 persons) were analyzed after the calculation of accessibility of four alternatives. The results show that when the crew number rises from 150 to 200 persons, the human performance of the single-passage alternative declines obviously, but the double-passage alternative begins to show its superiority. To optimize the accessibility and utilization of space resource for a high human performance, the passages design should be simulated and evaluated based on crew numbers.
- passages/
- improved TOPSIS method/
- human performance/
- evaluation method

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参考文献 (40)

GINNIS A I, KOSTAS K V, POLITIS C G, et al. VELOS: AVR platform for ship-evacuation analysis

[J]. Computer-Aided Design, 2010, 42(11): 1045-1058.

LEE D, KIM H, PARKJ H, et al. The current status and future issues in human evacuation from ships

余为波,吴晓光. 基于最短路径算法的舰船逃逸路线研究

刘崇,邱长华,谢志强. 舰船双目标应急疏散路线规划模型与算法

[J]. Safety Science, 2003, 41: 861-876.

胡晓芳,胡勇,程剑. 综合安全评估在舰艇救生通道优化设计中的应用

王文全,黄胜,王超,等. 舰船通道布置方案的直觉模糊多属性群决策方法

[J]. 中国舰船研究,2008,3(2): 16-20. YU Weibo, WU Xiaoguang. Research on the evacuation route of passage in ship based on shortest paths algorithm

[J]. Chinese Journal of Ship Research, 2008, 3(2): 16-20.

DEERE S J, GALEA E R. A systematic methodology to assess the impact of human factors in ship design

黄胜,郭海鹏,侯远杭,等. 基于改进TOPSIS法的舰船总体方案群决策方法

[J]. 系统工程学报,2013,28(1): 119-124. LIU Chong, QIU Changhua, XIE Zhiqiang. Bi-objective path programming model and algorithm for warship emergency evacuation

王靖程,诸文智,张彦斌. 基于面积的改进灰关联度算法

VILLALONGA F P. Dynamic escape routes for naval ships

[J]. Journal of Systems Engineering, 2013, 28(1): 119-124.

乔永辉. 一种基于TOPSIS的多属性决策方法研究

[J]. 舰船科学技术,2006,28(6): 121-124. HU Xiaofang, HU Yong, CHENG Jian. Application of formal safety assessment method to optimizing design of alleyway for lifesaving

黄胜,郭海鹏,王超. 基于面积和斜率灰色关联度的舰船方案群决策方法

张吉军. 模糊层次分析法

[J]. Ship Science and Technology, 2006, 28(6): 121-124.

GWYNNE S, GALEA E R, LYSTER C, et al. Analysing the evacuation procedures employed on a Thames passenger boat using the maritime EXODUS evacuation model

[J]. 上海交通大学学报,2013,47(6): 894-899. WANG Wenquan, HUANG Sheng, WANG Chao, et al. Intuitionistic fuzzy multiple attribute group decision-making for ship passage arrangement

侯远杭,黄胜,胡玉龙,等. 基于相对熵排序的舰船总体方案评价方法

[J]. Journal of Shanghai Jiaotong University, 2013, 47(6): 894-899.

[J]. Applied Mathematical Modelling, 2009, 33(2): 867-883.

[J]. 上海交通大学学报,2014,48(1): 92-97. HUANG Sheng, GUO Haipeng, HOU Yuanhang, et al. Group decision-making method of warship based on improved TOPSIS

[J]. Journal of Shanghai Jiaotong University, 2014, 48(1): 92-97.

[J]. 系统工程与电子技术,2010,32(4): 777-779. WANG Jingcheng, ZHU Wenzhi, ZHANG Yanbin. Improved algorithm of grey incidence degree based on area

[J]. System Engineering and Electronics, 2010, 32(4): 777-779.

[D]. Monterey: Naval Postgraduate School, 2005.

[J]. 企业技术开发,2006,25(9): 90-91. QIAO Yonghui. A study for the multi-attribute decision-making method based on TOPSIS

[J].Technological Development of Enterprise, 2006, 25(9): 90-91.

[J]. 船舶工程,2014,36(1): 100-103. HUANG Sheng, GUO Haipeng, WANG Chao. Group decision-making of warship scheme based on area and slope grey degree

[J]. Ship Engineering, 2014, 36(1): 100-103.

[J]. 模糊系统与数学,2002,14(2): 80-88. ZHANG Jijun. Fuzzy analytical hierarchy process

[J]. Fuzzy Systems and Mathematics, 2002, 14(2): 80-88.

[J]. Fire Technology, 2003, 39(3): 225-246.

[J]. 上海交通大学学报,2012,46(8): 1218-1222,1229. HOU Yuanhang, HUANG Sheng, HU Yulong, et al. Evaluation of warship based on relative entropy method

[J]. Journal of Shanghai Jiaotong University, 2012, 46(8): 1218-1222, 1229.

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