Tax-Scheduler:An interactive visualization system for staff shifting and scheduling at tax authorities  

作　　者：Linping Yuan Boyu Li Siqi Li Kam Kwai Wong Rong Zhang Huamin Qu 

机构地区：[1]Hong Kong University of Science and Technology,Hong Kong,China [2]Xi’an Jiaotong University,Xi’an,Shaanxi,China [3]Tianjin University of Science and Technology,Tianjin,China

出　　处：《Visual Informatics》2023年第2期30-40,共11页可视信息学（英文）

基　　金：This research is supported by the grant FSUST19-CWB09 under the Foshan-HKUST Projects.

摘　　要：Given a large number of applications and complex processing procedures,how to efficiently shift and schedule tax officers to provide good services to taxpayers is now receiving more attention from tax authorities.The availability of historical application data makes it possible for tax managers to shift and schedule staff with data support,but it is unclear how to properly leverage the historical data.To investigate the problem,this study adopts a user-centered design approach.We first collect user requirements by conducting interviews with tax managers and characterize their requirements of shifting and scheduling into time series prediction and resource scheduling problems.Then,we propose Tax-Scheduler,an interactive visualization system with a time-series prediction algorithm and genetic algorithm to support staff shifting and scheduling in the tax scenarios.To evaluate the effectiveness of the system and understand how non-technical tax managers react to the system with advanced algorithms and visualizations,we conduct user interviews with tax managers and distill several implications for future system design.

关 键 词：Staff scheduling Tax service Genetic algorithm Time series prediction 

分 类 号：F812.42[经济管理—财政学] TP39[自动化与计算机技术—计算机应用技术]