David K. H. Chua

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Design projects often face changes from external sources causing redesign to many interdependent downstream activities. Depicting change propagation on the downstream activities and subsequent impact on design completion is a great challenge. This paper proposes a change propagation model to predict the change propagation on the downstream activities due to(More)
Enhancing the reliability of planning is the key to achieving stable construction flow and, subsequently, high productivity and improved product quality. Traditional look-ahead scheduling tools are not suitable for producing robust work schedules. Being aware of the inherent problems in traditional scheduling methods, we propose an improved scheduling tool,(More)
Planning plays an important role in precast production management. In practice, however, this work is primarily carried out on a rule-of-thumb basis. A specialized planning model based on simulation technique and genetic algorithm (GA) is presented in this paper for make-to-order precast production. A novel priority rule, the critical precast component (CP)(More)
Use of simulation technique is becoming more popular in managing design process. However, developing a simulation model can be very tedious and knowledge demanding, and a simulation model developed for one project cannot readily be used for others due to the unique nature of design project. This paper develops a generalized simulation model for the design(More)
Construction process is vulnerable to uncertainties if the constraints at bottlenecks cannot be effectively identified and removed in advance. The present means of look-ahead planning does poorly in locating constraints hidden in the processes, the supply chain, and the information flow. This problem becomes more acute when the project is very complex and(More)
In the lean construction philosophy, the management of constraints is essential to reduce project delays. These constraints can be derived from construction requirements which define the characteristics of the construction project. This paper discusses the evolution and classification of requirements. Additionally, a framework to semantically map the(More)
Accurately predicting the required spatial resource for aggregate block assembly in shipyard production is difficult due to the following reasons: 1) lack of optimal block on-jig configuration and 2) the dynamic and stochastic nature of production system. Consequently, managerial objectives are seldom achieved without effective production planning and(More)
Semantic web technology has become an enabling technology for machines to automatically process and integrate information and further conduct logical reasoning over a set of asserted facts based on formalized ontology applicable to various domains. It is possible for humans and machines to share information and make decisions interchangeably through mapping(More)
Planning plays an important role in precast production management. In practice, however, this work is primarily carried out on a rule-of-thumb basis. A specialized planning model based on simulation technique and genetic algorithm (GA) is presented in this paper for precast production with two critical resources. A novel priority rule, the critical precast(More)