@Article{iasc.2020.010105,
AUTHOR = {Juan Du, Peng Dong, Vijayan Sugumaran},
TITLE = {Dynamic Production Scheduling for Prefabricated Components  Considering the Demand Fluctuation},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {4},
PAGES = {715--723},
URL = {http://www.techscience.com/iasc/v26n4/40275},
ISSN = {2326-005X},
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.},
DOI = {10.32604/iasc.2020.010105}
}