Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/35233
Title: Construction Requirements Driven Planning and Scheduling
Authors: YEOH KER-WEI
Keywords: Construction Requirements, Knowledge Representation, Computer Aided Constructability Analysis, PDM++, Alternative Schedules, Artificial Intelligence
Issue Date: 12-Apr-2012
Source: YEOH KER-WEI (2012-04-12). Construction Requirements Driven Planning and Scheduling. ScholarBank@NUS Repository.
Abstract: This dissertation presents a framework on the incorporation of spatial and temporal attributes of Construction Requirements in construction workflow planning and scheduling. The term ?Construction Requirements Driven Planning and Scheduling? is coined to emphasize the importance of early construction input in planning the construction sequence via Construction Requirements which represent the key preconditions for construction The knowledge embodied in the construction requirement serves as a sequencing rationale, as well as a tool for analysis of the construction requirement. The key contributions of this work include the formalisation of the construction requirement taxonomy based on identified core characteristics, which embody the temporal, spatial and abstract attributes, and the interactions between them. A spatial modelling and analysis framework incorporating four-dimensional computer-aided design for detecting conflict and congestion in construction workspaces is proposed. This framework is based on spatial demand and supply, and captures the utilization of space from this perspective. The temporal aspects of the construction requirements are represented using a proposed modelling framework, PDM++. This allows the capture of static and dynamic requirements, complex temporal constraints and hierarchical modelling of plans. Finally, a multi-objective genetic algorithm is used to resolve both spatial and temporal aspects of the construction requirement, with case studies demonstrating the validity of the approach.
URI: http://scholarbank.nus.edu.sg/handle/10635/35233
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