Smart Manufacturing Scheduling Approaches-Systematic Review and Future Directions

被引:17
作者
Alemao, Duarte [1 ,2 ]
Rocha, Andre Dionisio [1 ,2 ]
Barata, Jose [1 ,2 ]
机构
[1] UNINOVA Ctr Technol & Syst, FCT Campus, P-2829516 Caparica, Portugal
[2] NOVA Univ Lisbon, Fac Sci & Technol, Dept Elect & Comp Engn, P-1099085 Lisbon, Portugal
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 05期
关键词
manufacturing scheduling; smart manufacturing; intelligent manufacturing systems; scheduling requirements; cyber-physical production systems; PARTICLE SWARM OPTIMIZATION; HYBRID GENETIC ALGORITHM; EVOLUTIONARY OPTIMIZATION; AUTOMATIC DESIGN; TABU SEARCH; SHOP; ENERGY; MAINTENANCE; TARDINESS; SETUP;
D O I
10.3390/app11052186
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The recent advances in technology and the demand for highly customized products have been forcing manufacturing companies to adapt and develop new solutions in order to become more dynamic and flexible to face the changing markets. Manufacturing scheduling plays a core role in this adaptation since it is crucial to ensure that all operations and processes are running on time in the factory. However, to develop robust scheduling solutions it is necessary to consider different requirements from the shopfloor, but it is not clear which constraints should be analyzed and most research studies end up considering very few of them. In this review article, several papers published in recent years were analyzed to understand how many and which requirements they consider when developing scheduling solutions for manufacturing systems. It is possible to understand that the majority of them are not able to be adapted to real systems since some core constraints are not even considered. Consequently, it is important to consider how manufacturing scheduling solutions can be structured to be adapted effortlessly for different manufacturing scenarios.
引用
收藏
页码:1 / 20
页数:19
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