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Mixed Optimal Scheduling Model of Flexible Service System Based on Inverted Triangle

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  • Shipei Hu
  • Yujun Sun

Abstract

In the study presented in this paper, we built a nonlinear binary integer programming model of a flexible scheduling problem for the Department of Zhejiang Provincial Local Tax Services. One difference between our model and typical ones is that whereas in the latter the number of open windows within each working day is fixed, in our model it is not. We used a variety of integer programming software in an attempt to solve our scheduling model; however, unfortunately we could not find an optimal solution. Thus, we tested all the combinations of different numbers of employees to construct the optimal solution. When we tested our model in the tax office of Lishui City, China, the average waiting time of taxpayers was less than 15 min and the employees working hours were clearly reduced. Thus, a noteworthy improvement in the quality of the service is achieved by the model.

Suggested Citation

  • Shipei Hu & Yujun Sun, 2019. "Mixed Optimal Scheduling Model of Flexible Service System Based on Inverted Triangle," Journal of Applied Mathematics, John Wiley & Sons, vol. 2019(1).
    • Handle: RePEc:wly:jnljam:v:2019:y:2019:i:1:n:2674697
    DOI: 10.1155/2019/2674697
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    References listed on IDEAS

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    Cited by:

    1. Claudio Urrea & John Kern, 2020. "Integrating ROS and IoT in a Virtual Laboratory for Control System Engineering," Journal of Applied Mathematics, John Wiley & Sons, vol. 2020(1).

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