• DocumentCode
    237585
  • Title

    Home health care crew scheduling and routing problem with stochastic service times

  • Author

    Biao Yuan ; Ran Liu ; Zhibin Jiang

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    564
  • Lastpage
    569
  • Abstract
    The home health care crew scheduling and routing problem with stochastic service times is studied in this paper. A stochastic programming model with recourse is constructed to describe the problem. The approximate formulation for the expected penalty for late arrival at a customer is obtained and analyzed. According to its features, the problem is transformed into a classical set partitioning problem (SPP) and an elementary shortest path problem with resource constraints (ESPPRC). The SPP is solved by the column generation algorithm, and the ESPPRC is solved by an effective label algorithm. To get integer feasible solutions, the column generation procedure is embedded within a branch and bound framework, which is also called branch and price approach. Its effectiveness is validated by the numerical experiment.
  • Keywords
    constraint theory; health care; resource allocation; scheduling; set theory; stochastic programming; tree searching; ESPPRC; SPP; branch and bound technique; branch and price approach; column generation algorithm; effective label algorithm; elementary shortest path problem with resource constraints; home health care crew scheduling; routing problem; set partitioning problem; stochastic programming model; stochastic service times; Algorithm design and analysis; Heuristic algorithms; Medical services; Pricing; Routing; Standards; Stochastic processes; branch and price; home health care; scheduling and routing; stochastic service times;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/CoASE.2014.6899382
  • Filename
    6899382