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Human Resource Scheduling Model and Algorithm with Time Windows and Multi-Skill Constraints

Author

Listed:
  • Zhiping Zuo

    (School of Management, Wuhan College, Wuhan 430212, China)

  • Yanhui Li

    (School of Management, Wuhan College, Wuhan 430212, China
    School of Information Management, Central China Normal University, Wuhan 430079, China)

  • Jing Fu

    (School of Business Administration, Wuhan Business University, Wuhan 430056, China
    Institute of Agricultural Economy and Technology, Hubei Academy of Agricultural Sciences, Wuhan 430064, China)

  • Jianlin Wu

    (School of Information Management, Central China Normal University, Wuhan 430079, China)

Abstract

In situations where an organization has limited human resources and a lack of multi-skilled employees, organizations pay more and more attention to cost control and personnel arrangements. Based on the consideration of the service personnel scheduling as well as the routing arrangement, service personnel of different skills were divided into different types according to their multiple skills. A mathematical programming model was developed to reduce the actual cost of organization. Then, a hybrid meta heuristic that combines a tabu search algorithm with a simulated annealing was designed to solve the problem. This meta heuristic employs several neighborhood search operators and integrates the advantages of both the tabu search algorithm and the simulated annealing algorithm. Finally, the stability and validity of the algorithm were validated by the tests of several kinds of examples.

Suggested Citation

  • Zhiping Zuo & Yanhui Li & Jing Fu & Jianlin Wu, 2019. "Human Resource Scheduling Model and Algorithm with Time Windows and Multi-Skill Constraints," Mathematics, MDPI, vol. 7(7), pages 1-18, July.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:7:p:598-:d:245727
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    References listed on IDEAS

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    Cited by:

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    2. Behrad Barghi & Shahram Shadrokh Sikari, 2022. "Meta-heuristic Solution with Considering Setup Time for Multi-Skilled Project Scheduling Problem," SN Operations Research Forum, Springer, vol. 3(1), pages 1-23, March.
    3. Xing Ji & Baoyu Liao & Shanlin Yang, 2022. "A variable neighborhood search algorithm for human resource selection and optimization problem in the home appliance manufacturing industry," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 223-241, August.

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