Maintainability-based facility layout optimum design of ship cabin

可维护性 粒子群优化 可靠性工程 工程类 惯性 页面布局 数学优化 计算机科学 数学 经典力学 广告 物理 业务
作者
Xu Luo,Yongmin Yang,Zhexue Ge,Xisen Wen,Fengjiao Guan
出处
期刊:International Journal of Production Research [Taylor & Francis]
卷期号:53 (3): 677-694 被引量:17
标识
DOI:10.1080/00207543.2014.919416
摘要

Maintainability of a mechanical system is one of the system design parameters that has a great impact in terms of ease of maintenance. In this paper, a methodology of facility layout optimum design for maintainability of a ship cabin is presented as a way to improve the efficiency and quality of maintainability design. The maintenance operating space, amount of hoisting, balance of cabin, distance requirement and personnel movement distance are all taken into account, and treated as objective functions. The mechanical functional constraints and some important layout experience are also considered and formulated as constraints. Thus, the mathematical model for maintainability layout combinatorial optimisation is constructed. According to the characteristics of maintainability-based facility layout problem, the particle swarm optimisation algorithm developed by Eberhart and Kennedy is modified to enhance the computational efficiency and solution accuracy. A hybrid position updating method is used to solve the optimisation problem with both continuous and discrete variables. The dynamic neighbourhood structure, dynamic inertia weight and adaptive mutation mode are modified to effectively solve the optimisation problem with multiple peak values. Finally, the methodology proposed is illustrated by simulation case and engineering application, and the results suggest that the methodology is effective.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zhaoyinghua发布了新的文献求助10
2秒前
蔡能涛发布了新的文献求助10
2秒前
无花果应助ShellyHan采纳,获得10
2秒前
GDL完成签到 ,获得积分10
3秒前
苗小天完成签到,获得积分20
3秒前
科目三应助傲娇书易采纳,获得10
8秒前
9秒前
piu关闭了piu文献求助
10秒前
默默兔子发布了新的文献求助10
10秒前
李健的小迷弟应助小稚采纳,获得10
11秒前
11秒前
11秒前
默默兔子发布了新的文献求助10
12秒前
OxO完成签到,获得积分10
13秒前
威武的翠安完成签到 ,获得积分10
14秒前
14秒前
结实的安露完成签到 ,获得积分10
14秒前
默默兔子发布了新的文献求助10
15秒前
15秒前
ZXD1989完成签到 ,获得积分10
15秒前
田様应助眼睛大的乌龟采纳,获得10
16秒前
筱姐姐发布了新的文献求助10
17秒前
goodhonghong发布了新的文献求助10
17秒前
ShellyHan发布了新的文献求助10
18秒前
默默兔子发布了新的文献求助10
19秒前
19秒前
OK应助1234采纳,获得10
20秒前
小懒猪完成签到 ,获得积分10
20秒前
21秒前
bynowcc完成签到,获得积分10
21秒前
奋斗的小甜瓜完成签到 ,获得积分10
21秒前
默默兔子发布了新的文献求助10
21秒前
乐乐应助历代星辰采纳,获得10
22秒前
ga发布了新的文献求助30
22秒前
默默兔子发布了新的文献求助10
24秒前
24秒前
默默兔子发布了新的文献求助10
26秒前
27秒前
DKJ应助蔡能涛采纳,获得10
28秒前
28秒前
高分求助中
Signals, Systems, and Signal Processing 610
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
Burger's Medicinal Chemistry and Drug Discovery 400
Probability and Stochastic Processes 333
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6746590
求助须知:如何正确求助?哪些是违规求助? 8476563
关于积分的说明 18079484
捐赠科研通 6019248
什么是DOI,文献DOI怎么找? 3005147
邀请新用户注册赠送积分活动 1981923
关于科研通互助平台的介绍 1948628