Dependency Structure Matrix and Hierarchical Clustering based algorithm for optimum module identification in MEP systems

Abstract

Abstract 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.