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A Neural Network Application in Personnel Scheduling

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  • G. Hao
  • K.K. Lai
  • M. Tan

Abstract

In this paper, we present and evaluate a neural network model for solving a typical personnel-scheduling problem, i.e. an airport ground staff rostering problem. Personnel scheduling problems are widely found in servicing and manufacturing industries. The inherent complexity of personnel scheduling problems has normally resulted in the development of integer programming-based models and various heuristic solution procedures. The neural network approach has been admitted as a promising alternative to solving a variety of combinatorial optimization problems. While few works relate neural network to applications of personnel scheduling problems, there is great theoretical and practical value in exploring the potential of this area. In this paper, we introduce a neural network model following a relatively new modeling approach to solve a real rostering case. We show how to convert a mixed integer programming formulation to a neural network model. We also provide the experiment results comparing the neural network method with three popular heuristics, i.e. simulated annealing, Tabu search and genetic algorithm. The computational study reveals some potential of neural networks in solving personnel scheduling problems. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • G. Hao & K.K. Lai & M. Tan, 2004. "A Neural Network Application in Personnel Scheduling," Annals of Operations Research, Springer, vol. 128(1), pages 65-90, April.
    • Handle: RePEc:spr:annopr:v:128:y:2004:i:1:p:65-90:10.1023/b:anor.0000019099.29005.17
    DOI: 10.1023/B:ANOR.0000019099.29005.17
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    Cited by:

    1. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    2. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    3. Lin, Shih-Wei & Ying, Kuo-Ching, 2014. "Minimizing shifts for personnel task scheduling problems: A three-phase algorithm," European Journal of Operational Research, Elsevier, vol. 237(1), pages 323-334.
    4. Manuel Castejón-Limas & Joaquín Ordieres-Meré & Ana González-Marcos & Víctor González-Castro, 2011. "Effort estimates through project complexity," Annals of Operations Research, Springer, vol. 186(1), pages 395-406, June.
    5. Wu, Cheng-Lung & Lim, Shao Xuan, 2021. "Effects of enterprise bargaining and agreement clauses on the operating cost of airline ground crew scheduling," Journal of Air Transport Management, Elsevier, vol. 91(C).

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