DocumentCode :
677691
Title :
Continuous variable control approach for home care crew scheduling
Author :
Seokgi Lee ; Yuncheol Kang ; Prabhu, V. Vasan
Author_Institution :
Harold & Inge Marcus Dept. of Ind. & Manuf. Eng., Pennsylvania State Univ., University Park, PA, USA
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
2262
Lastpage :
2273
Abstract :
The home care crew scheduling problem (HCCSP) is defined as a dynamic routing and scheduling problem with caretakers´ fixed appointments, and therefore has many similarities with the vehicle routing problem with time windows. Considering frequent demand changes regarding resource priorities, appointment alterations, and time windows in HCCSP, the control theoretic approach with discrete event distributed simulation provide substantial benefits by offering real-time response to demand changes. We develop dynamic models for HCCSP with dynamic patient appointments, and explain dynamics that span from controlling crew work times to home-visit scheduling. Also, the real-time feedback control algorithm is proposed to solve HCCSP, where it is performed based on the time-scaled approach that possibly eliminates the need for directly synchronizing events and thereby eliminates the complexity associated with discrete event distributed simulation approaches.
Keywords :
discrete event simulation; feedback; health care; scheduling; vehicle routing; HCCSP; appointment alterations; caretaker fixed appointment; continuous variable control approach; control theoretic approach; crew work time control; discrete event distributed simulation; dynamic patient appointments; dynamic routing; home care crew scheduling problem; home-visit scheduling; real-time feedback control algorithm; resource priorities; time windows; time-scaled approach; vehicle routing problem; Computational modeling; Dynamic scheduling; Heuristic algorithms; Job shop scheduling; Mathematical model; Routing; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), 2013 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-2077-8
Type :
conf
DOI :
10.1109/WSC.2013.6721602
Filename :
6721602
Link To Document :
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