Offsite construction: Developing a BIM-Based optimizer for assembly
Offsite construction: Developing a BIM-Based optimizer for assembly
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DOI：
10.1016/j.jclepro.2019.01.113
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发表时间：
2019-04-01
影响因子：
11.1
通讯作者：
Aigbavboa, Clinton
中科院分区：
文献类型：
--
作者：
Gbadamosi, Abdul-Quayyum;Mahamadu, Abdul-Majeed;Aigbavboa, Clinton
由于没有充分考虑到影响建筑装配方法的潜在因素，往往导致建筑材料、设备和人力的使用效率低下。建筑行业的性质进一步加剧了这些低效率，传统上，建筑行业涉及复杂的过程，导致生产过程中的浪费。为了解决这个问题，本研究整合了制造和装配设计（DFMA）和精益建筑的原则，开发了一个设计评估和优化系统，以帮助设计师在建筑信息模型中选择可替代的建筑设计元素和材料。这种评估和优化系统依赖于从生产数据中得出的指标，这些数据与组装的容易程度、处理的容易程度、组装的速度以及建筑元件或材料在组装或建造过程中的浪费有关。本文介绍了BIM- ofa评估逻辑的发展及其通过建筑信息模型（BIM）的扩展在建筑围护结构评估和优化选择中的应用。该系统作为施工和材料效率指标的充分性，与BIM的结合进一步增强了利用构件重量、现场工人数量、零件数量等生产数据进行可建性评估的实用性，从而提高效率，减少浪费。(C) 2019 Elsevier Ltd.版权所有。
The lack of adequate consideration of the underlying factors affecting the methods of building assembly often results in inefficiencies in the uses of building materials, equipment and manpower. These inefficiencies are further compounded by the nature of the construction industry, which traditionally involves complex processes that result in wastages during production. To address this problem, this study integrates the principles of Design for Manufacture and Assembly (DFMA) and Lean Construction to develop a design assessment and optimization system to assist designers in the selection of alternative building design elements and materials in a building information model. This assessment and optimization system rely on metrics derived from production data associated with the ease of assembling, ease of handling, the speed of assembling and the wastage during assembly or construction of a building element or material. This paper presents the development of BIM-OfA assessment logic and its application for assessment and optimal selection of building envelop through the extension of Building Information Modelling (BIM). The system demonstrates its adequacy as an indicator of construction and material efficiency, its integration with BIM further enhances the practicality of using production data such weight of components, number of on-site workers and number of parts, for buildability assessment to improve efficiency and reduce waste. (C) 2019 Elsevier Ltd. All rights reserved.