期刊
AUTOMATION IN CONSTRUCTION
卷 104, 期 -, 页码 153-178出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.autcon.2019.03.021
关键词
Building information modelling; Modular prefabrication; MEP plantrooms; Hierarchical Clustering; Optimum modularity
资金
- Australian Research Council Industrial Transformation Research Programme [IC150100023]
Modular prefabrication of mechanical, electrical and plumbing (MEP) systems has become more prevalent during the last decade with the growth of the prefabricated construction industry. However, it is currently accomplished only for smaller systems where integrated packaged units are applied in heating, ventilation and air conditioning (HVAC) and other building services installations. The term 'optimum modularity' is rarely accurately used in the industry due to lack of an efficient modularisation method. In this investigation, an automated efficient modularisation algorithm has been developed using an approach which combines fuzzy logic, Dependency Structure Matrix (DSM) and Hierarchical Clustering (HC) methods. The developed algorithm achieves minimum total installation cost by identifying the optimum number modules and module division points based on assembly cost and the handling cost of each module. It is shown that the optimum modularity for a system is highly dependent on the module dimensions and the module division point.
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