Research on Shift Generation of Foreign Airlines Service Personnel Based on Tabu Search Algorithm

Xia FENG; Ling TANG; Min LU

doi:10.11999/JEIT181196

Volume 41 Issue 11

Nov. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(11): 2715-2721

Xia FENG, Ling TANG, Min LU. Research on Shift Generation of Foreign Airlines Service Personnel Based on Tabu Search Algorithm[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2715-2721. doi: 10.11999/JEIT181196

Citation:

Xia FENG, Ling TANG, Min LU. Research on Shift Generation of Foreign Airlines Service Personnel Based on Tabu Search Algorithm[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2715-2721. doi: 10.11999/JEIT181196

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Research on Shift Generation of Foreign Airlines Service Personnel Based on Tabu Search Algorithm

doi: 10.11999/JEIT181196

Xia FENG^{1, 2},
Ling TANG^{1, 2
,
,},
Min LU^{1, 2, 3}

1.
College of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China
2.
Information Technology Research Base of CAAC, Civil Aviation University of China, Tianjin 300300, China
3.
Key Laboratory of Machine Intelligence and Advanced Computing, Sun Yat-sen University, Guangzhou 510275, China

Funds: The National Natural Science Foundation of China (61502499), The Civil Aviation Key Technologies R&D Program of China (MHRD20140105), The Open Project in Key Laboratory of Machine Intelligence and Advanced Computing of the Ministry of Education (Sun Yat-sen University) (MSC-201704A), The Fundamental Research Funds for the Central Universities of China (3122015D015)

Received Date: 2019-01-03
Rev Recd Date: 2019-04-17

Available Online: 2019-05-21

Publish Date: 2019-11-01

Abstract

Abstract

To solve the problem for the large amount of tasks, complex constraint conditions and manual which is hard to generation shifts of airport foreign airline service personnel. A shift generation model is studied and constructed for multi-task hierarchical qualification which including employees have hierarchical qualifications for tasks and shift needs to meet all kinds of labor laws and regulations and others constraints to minimize the total working time of shifts for optimum. Tabu search algorithm is designed to solve the model. Experiments, based on the actual scheduling data set of the foreign airlines service department of capital airport, verify the practicability and effectiveness of the model and the algorithm. The results show that compared to the existing manual shifts schemes, shifts obtained by using the model can fulfill all constraint conditions, shorten the total working time, reduce the number of employees and improve the utilization rate of airport resources.
- Air transportation,
- Shift generation,
- Tabu search algorithm,
- Staff scheduling,
- Multiple tasks and hierarchical qualifications

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References(15)

References

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