Data-Driven Hospital Surgery Scheduling Optimization

2019 ◽  
pp. 369-380
Author(s):  
Zhigang Li ◽  
Yan Yi ◽  
Xichen Wu
Keyword(s):  
Data Driven ◽  
Surgery Scheduling ◽  
Scheduling Optimization

scholarly journals Big Data Driven Agricultural Products Supply Chain Management: A Trustworthy Scheduling Optimization Approach

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 49990-50002 ◽  
Author(s):  
Qian Tao ◽  
Chunqin Gu ◽  
Zhenyu Wang ◽  
Joseph Rocchio ◽  
Weiwen Hu ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Agricultural Products ◽  
Data Driven ◽  
Optimization Approach ◽  
Scheduling Optimization ◽  
Chain Management

scholarly journals Data-driven hospital personnel scheduling optimization through patients prediction

2021 ◽  
Vol 3 (1) ◽  
pp. 40-56
Author(s):  
Defan Feng ◽  
Yu Mo ◽  
Zhiyao Tang ◽  
Quanjun Chen ◽  
Haoran Zhang ◽  
...  
Keyword(s):  
Data Driven ◽  
Personnel Scheduling ◽  
Hospital Personnel ◽  
Scheduling Optimization

scholarly journals Data-Driven Approach to Grade Change Scheduling Optimization in a Paper Machine

2020 ◽  
Vol 59 (17) ◽  
pp. 8281-8294
Author(s):  
Hossein Mostafaei ◽  
Teemu Ikonen ◽  
Jason Kramb ◽  
Tewodros Deneke ◽  
Keijo Heljanko ◽  
...  
Keyword(s):  
Data Driven ◽  
Paper Machine ◽  
Scheduling Optimization ◽  
Grade Change ◽  
Data Driven Approach

A Data-driven Approach for Crude Oil Scheduling Optimization under Product Yield Uncertainty

2021 ◽  
pp. 116971
Author(s):  
Xin Dai ◽  
Liang Zhao ◽  
Zhi Li ◽  
Wenli Du ◽  
Weimin Zhong ◽  
...  
Keyword(s):  
Crude Oil ◽  
Product Yield ◽  
Data Driven ◽  
Scheduling Optimization ◽  
Data Driven Approach ◽  
Yield Uncertainty

A data-driven method for pipeline scheduling optimization

2019 ◽  
Vol 144 ◽  
pp. 79-94 ◽  
Author(s):  
Qi Liao ◽  
Haoran Zhang ◽  
Tianqi Xia ◽  
Quanjun Chen ◽  
Zhengbing Li ◽  
...  
Keyword(s):  
Data Driven ◽  
Scheduling Optimization ◽  
Pipeline Scheduling

scholarly journals Genetic Algorithm for Scheduling Optimization Considering Heterogeneous Containers: A Real-World Case Study

Axioms ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 27
Author(s):  
Gilberto Rivera ◽  
Luis Cisneros ◽  
Patricia Sánchez-Solís ◽  
Nelson Rangel-Valdez ◽  
Jorge Rodas-Osollo
Keyword(s):  
Genetic Algorithm ◽  
Public Hospital ◽  
Real Data ◽  
Operating Rooms ◽  
Surgery Scheduling ◽  
Scheduling Problems ◽  
Scheduling Optimization ◽  
Local Hospital ◽  
Operational Time

In this paper, we develop and apply a genetic algorithm to solve surgery scheduling cases in a Mexican Public Hospital. Here, one of the most challenging issues is to process containers with heterogeneous capacity. Many scheduling problems do not share this restriction; because of this reason, we developed and implemented a strategy for the processing of heterogeneous containers in the genetic algorithm. The final product was named “genetic algorithm for scheduling optimization” (GAfSO). The results of GAfSO were tested with real data of a local hospital. Said hospital assigns different operational time to the operating rooms throughout the week. Also, the computational complexity of GAfSO is analyzed. Results show that GAfSO can assign the corresponding capacity to the operating rooms while optimizing their use.

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