终结适宜性量化困境:高密度大都市模块化集成建设的智能决策支持系统

IF 3.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
I. Y. Wuni, K. Mazher
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引用次数: 2

摘要

目的模块化综合施工(MiC)是一种对传统现场施工方法进行创新和改造的现代施工方法。由于它集成了先进的制造原理,并且需要在场外生产体积较大的建筑组件,因此必须融合几个因素和条件,使MiC方法适用于各种情况下的建筑项目。本文旨在提出一个基于知识的决策支持系统(KB-DSS),用于评估项目是否适合MiC方法。设计/方法/方法KB-DSS使用了通过文献综述、专家咨询和问卷调查确定的21个重要的适宜性决策因素。它有一个知识库、一个DSS和一个用户界面。该知识库包括IF-THEN生成规则,用于有效利用DSS.Findings强大的推理和解释能力来计算MiC适用性得分。该工具接收决策者的输入,计算给定项目的MiC适合性得分,并根据得分生成推荐。使用香港的三个真实世界项目来证明该工具在解决MiC适用性评估问题方面的适用性。独创性/价值本研究确定了决定MiC方法适用于建设项目的复杂且相互竞争的重要条件和因素。它开发了一种独特的工具,将专家系统和决策支持系统的能力相结合,以解决评估MiC方法适用于高密度大都市建设项目的复杂问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ending the suitability quantification dilemma: intelligent decision support system for modular integrated construction in a high-density metropolis
Purpose Modular integrated construction (MiC) is a modern construction method innovating and reinventing the traditional site-based construction method. As it integrates advanced manufacturing principles and requires offsite production of volumetric building components, several factors and conditions must converge to make the MiC method suitable and efficient for building projects in each context. This paper aims to present a knowledge-based decision support system (KB-DSS) for assessing a project’s suitability for the MiC method. Design/methodology/approach The KB-DSS uses 21 significant suitability decision-making factors identified through literature review, consultation of experts and questionnaire surveys. It has a knowledge base, a DSS and a user interface. The knowledge base comprises IF-THEN production rules to compute the MiC suitability score with the efficient use of the powerful reasoning and explanation capabilities of DSS. Findings The tool receives the inputs of a decision-maker, computes the MiC suitability score for a given project and generates recommendations based on the score. Three real-world projects in Hong Kong are used to demonstrate the applicability of the tool for solving the MiC suitability assessment problem. Originality/value This study established the complex and competing significant conditions and factors determining the suitability of the MiC method for construction projects. It developed a unique tool combining the capabilities of expert systems and decision support system to address the complex problem of assessing the suitability of the MiC method for construction projects in a high-density metropolis.
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来源期刊
Construction Innovation-England
Construction Innovation-England CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
7.10
自引率
12.10%
发文量
71
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