Dynamic Production Scheduling for Prefabricated Components Considering the Demand Fluctuation

被引:14
|
作者
Du, Juan [1 ,2 ]
Dong, Peng [1 ]
Sugumaran, Vijayan [3 ,4 ]
机构
[1] Shanghai Univ, SILC Business Sch, Shanghai 201800, Peoples R China
[2] Univ Technol Sydney, Fac Engn & IT, Sydney, NSW 2007, Australia
[3] Oakland Univ, Sch Business Adm, Rochester, MI 48309 USA
[4] Oakland Univ, Ctr Data Sci & Big Data Analyt, Rochester, MI 48309 USA
来源
基金
中国国家自然科学基金;
关键词
Production Scheduling; Demand fluctuation; Multi-objective genetic algorithm; Prefabricated components; GENETIC ALGORITHMS; PRECAST;
D O I
10.32604/iasc.2020.010105
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:715 / 723
页数:9
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