Production-oriented approach for optimal mass-customisation of floor panel layouts in cross-laminated timber (CLT) buildings

交叉层压木材 生产(经济) 工程类 结构工程 建筑工程 土木工程 宏观经济学 经济
作者
Elham Yousefi,Alireza Ahmadian Fard Fini,Santhosh Loganathan
出处
期刊:Engineering, Construction and Architectural Management [Emerald Publishing Limited]
卷期号:32 (9): 5965-5988 被引量:3
标识
DOI:10.1108/ecam-10-2023-1064
摘要

Purpose This study aims to develop a production-oriented approach for optimal mass-customisation of floor panel layouts in cross-laminated timber (CLT) buildings. The study enables meeting building clients’ unique floor plan requirements at an optimal cost and simultaneously enhances manufacturers’ profit by minimising material and manufacturing process waste. Design/methodology/approach The present research uses a hybrid approach consisting of field data collection, mathematical modelling, development of a Genetic Algorithm (GA) and scenario analysis. Field data includes engineered timber production information, design data and building code requirements. The study adopts the Flexible Demand Assignment (FDA) technique to formulate a mathematical model for optimising the design of mass timber buildings and employs GA to identify optimal production solutions. Scenario analysis is performed to validate model outputs. Findings The proposed model successfully determines the load-bearing wall placement and building spans and specifications of floor panels that result in optimal production efficiency and the desired architectural layout. The results indicate that buildings made of a single category of thickness of panels but customised in various lengths to suit building layout are the most profitable scenario for CLT manufacturers and are a cost-effective option for clients. Originality/value The originality of the present study lies in its mathematical and model-driven approach towards implementing mass customisation in multi-storey buildings. The proposed model has been developed and validated based on a comprehensive set of real-world data and constraints.
最长约 10秒,即可获得该文献文件

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
hurui发布了新的文献求助10
1秒前
3秒前
负责以山完成签到 ,获得积分10
3秒前
Hello应助天真的采纳,获得10
4秒前
学习。。发布了新的文献求助10
4秒前
4秒前
重要的笑蓝完成签到,获得积分10
5秒前
搜集达人应助舒心的雨双采纳,获得10
6秒前
7秒前
lu应助清爽的绮兰采纳,获得10
7秒前
科研通AI6.3应助无限安荷采纳,获得10
8秒前
9秒前
顾矜应助Jia采纳,获得10
9秒前
乐乐应助媛媛采纳,获得10
9秒前
9秒前
嘤嘤怪发布了新的文献求助10
11秒前
limin发布了新的文献求助10
12秒前
悦耳冬萱完成签到 ,获得积分10
12秒前
周小熊完成签到 ,获得积分10
12秒前
李健的小迷弟应助heli采纳,获得10
13秒前
丰富的忆寒应助研零小白采纳,获得10
14秒前
王震发布了新的文献求助10
14秒前
14秒前
16秒前
Shawn完成签到 ,获得积分10
17秒前
17秒前
19秒前
20秒前
杨杨应助ne采纳,获得10
21秒前
1111发布了新的文献求助10
21秒前
22秒前
22秒前
少女椰椰完成签到,获得积分10
23秒前
奋斗的向雪完成签到,获得积分10
24秒前
24秒前
桐桐应助昧冒冰采纳,获得10
25秒前
Caroline发布了新的文献求助10
26秒前
威武苑睐发布了新的文献求助30
26秒前
一7发布了新的文献求助10
26秒前
Jasper应助酥酥采纳,获得10
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Child and Adolescent Psychology 600
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7414196
求助须知:如何正确求助?哪些是违规求助? 9017765
关于积分的说明 19210022
捐赠科研通 7045899
什么是DOI,文献DOI怎么找? 3233983
关于科研通互助平台的介绍 2396142
邀请新用户注册赠送积分活动 2216055