Abstract
A dynamic optimized production scheduling which takes into account demand fluctuation and uncertainty is very critical for the efficient performance of Prefabricated Component Supply Chain. Previous studies consider only the conditions in the production factory and develop corresponding models, ignoring the dynamic demand fluctuation that often occurs at the construction site and its impact on the entire lifecycle of prefabricated construction project. This paper proposes a dynamic flow shop scheduling model for prefabricated components production, which incorporates demand fluctuation such as the advance of due date, insertion of urgent component and order cancellation. An actual prefabrication construction project has been used to validate the proposed multi-objective genetic algorithm model. The experimental results show that the proposed model can achieve a cost saving of up to 43.2%, which shows that the proposed model can cope well with the occurrence of demand fluctuation. This research contributes to the dynamic decision support system for managing prefabricated components.
Highlights
PREFABRICATED construction projects have developed rapidly in China in recent years due to the advantages of resource saving, environment friendliness and labor saving
The main contributions of this paper are as follows: (1) The proposed approach integrates the three main processes of a PC project, namely, production, transportation, and assembly; it focuses on the dynamics and interactivity in the production scheduling of prefabricated components and proposes an optimization model based on different scenarios
THE production of prefabricated components is a crucial stage in a prefabricated construction project, and the production stage is affected by other stages
Summary
PREFABRICATED construction projects have developed rapidly in China in recent years due to the advantages of resource saving, environment friendliness and labor saving. Considering the efficiency of the whole prefabricated construction project, decision makers in the factories need to find a suitable and adaptive method to generate the complex dynamic production schedule. During the execution stage, a dynamic model responds considering the contingency factors that may occur at the construction site. It will re-optimize the schedule according to the impact of the demand fluctuation. The main contributions of this paper are as follows: (1) The proposed approach integrates the three main processes of a PC project, namely, production, transportation, and assembly; it focuses on the dynamics and interactivity in the production scheduling of prefabricated components and proposes an optimization model based on different scenarios. The experimental results show that the proposed model achieves a cost saving of up to 43.2%
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