Faced with budget cuts and increasing demand, many home health care agencies are struggling to stay open and provide services. This research aims to develop scheduling and routing methodology for home health care agencies that will reduce routing costs without affecting the quality of care that is achieved through consistent and continuous care. The problem faced by agencies, the home health care routing problem (HHCRP), is a multi-depot, periodic vehicle routing problem, with the requirement that a patient is always seen by the same nurse during their care period. Because care periods often last more than 60 days, this continuity of care requirement causes scheduling decisions to have a long-term impact, much longer than patient visits can be known with certainty. Thus, we model customers as stochastic and propose a methodology that considers forecasts of future patient visits when developing schedules and routes. Computational experiments suggest the effectiveness of the methodology
|Presenter:||Nisha Nataraj (Rochester Institute of Technology) -- firstname.lastname@example.org
|Topic:||Occupational Therapy/Nursing - Panel|
|Time:||11:15 am (Session II)|
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