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

IF 3.6 2区 工程技术 Q1 ENGINEERING, CIVIL Engineering, Construction and Architectural Management Pub Date : 2024-09-18 DOI:10.1108/ecam-10-2023-1064
Elham Yousefi, Alireza Ahmadian Fard Fini, Santhosh Loganathan
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Abstract

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.

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以生产为导向的交叉层压木材(CLT)建筑楼板布局大规模定制优化方法
目的本研究旨在开发一种以生产为导向的方法,用于优化大规模定制交叉层压木材(CLT)建筑中的楼板布局。本研究采用混合方法,包括现场数据收集、数学建模、遗传算法(GA)开发和情景分析。实地数据包括工程木材生产信息、设计数据和建筑规范要求。研究采用灵活需求分配(FDA)技术,制定了一个数学模型,用于优化大规模木材建筑的设计,并采用遗传算法确定最佳生产解决方案。研究结果所提出的模型成功地确定了承重墙的位置、建筑跨度和楼板规格,从而实现了最佳的生产效率和理想的建筑布局。结果表明,对 CLT 制造商来说,由单一类别厚度的面板制成但根据建筑布局定制不同长度的建筑是最有利可图的方案,对客户来说也是一种具有成本效益的选择。原创性/价值本研究的原创性在于其数学和模型驱动方法,可在多层建筑中实现大规模定制。本研究的独创性在于它采用数学和模型驱动的方法,在多层建筑中实施大规模定制。所提议的模型是基于一套全面的真实世界数据和限制条件而开发和验证的。
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来源期刊
Engineering, Construction and Architectural Management
Engineering, Construction and Architectural Management Business, Management and Accounting-General Business,Management and Accounting
CiteScore
8.10
自引率
19.50%
发文量
226
期刊介绍: ECAM publishes original peer-reviewed research papers, case studies, technical notes, book reviews, features, discussions and other contemporary articles that advance research and practice in engineering, construction and architectural management. In particular, ECAM seeks to advance integrated design and construction practices, project lifecycle management, and sustainable construction. The journal’s scope covers all aspects of architectural design, design management, construction/project management, engineering management of major infrastructure projects, and the operation and management of constructed facilities. ECAM also addresses the technological, process, economic/business, environmental/sustainability, political, and social/human developments that influence the construction project delivery process. ECAM strives to establish strong theoretical and empirical debates in the above areas of engineering, architecture, and construction research. Papers should be heavily integrated with the existing and current body of knowledge within the field and develop explicit and novel contributions. Acknowledging the global character of the field, we welcome papers on regional studies but encourage authors to position the work within the broader international context by reviewing and comparing findings from their regional study with studies conducted in other regions or countries whenever possible.
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