This paper provides a methodology for pre-selecting a limited number of activities for detailed investigation using existing robotic feasibility analysis techniques, such as that proposed by Kangari & Halpin [1]. The QCF Delphi method has been employed to survey a significant portion of a company's site management, in order to determine their views on the value of specific robotic or automated systems and to discover the reasons for these views. Using this method reinforcement cage fabrication, site stock control, concrete floor finishing and HVAC installation were found to be the preferred activities for robotic development. It was also shown that service installation and all forms of finishes are presently major sources of construction delay. The method also highlighted the importance of co-ordinating site activities and of controlling the design and management process in order to successfully exploit any automated or robotic system.
This paper presents a method which is presently being developed for planning mechanical and electrical service routes within a confined space. The method uses a modified Lees' algorithm which allows horizontal vertical and diagonal (450) routings within the space. Each service is initially routed individually and then a system based on simulated evolution techniques is used to select services for progressive re-routing until an optimal solution is obtained. The method of selecting which services are to be re-routed considers the length and complexity of the service route, whether its initial routing clashes with any other services and whether its position will permit a logical construction sequence. The order in which the services are re-routed is then determined by a probabilistic method. Initial tests using this method indicate that complex service layouts are successfully routed and that the resultant layouts are well proportioned and distributed.
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