This paper addresses a home care (HC) scheduling problem faced by a real provider working in New York City area, USA. HC scheduling is an extension of vehicle routing problem with specific constraints and characteristics. The addressed problem is also a matching problem since it considers the caregiver-client matching which depends on the value of each pair's satisfaction. The novelties of our problem lie in chargeable overtimes, preference matching and several specific constraints from the provider. A mathematical model for the problem is provided with the objective of minimizing the unmatched preferences, the overtime cost paid by provider and the total caregivers' travel time. A variable neighborhood search algorithm is also proposed to solve the problem and tested on a real instance from considered HC provider. Numerical results show that the proposed algorithm can efficiently provide high quality solutions on real-sized instances.

(2019). A variable neighborhood search for home care scheduling under chargeable overtime and preference matching . Retrieved from http://hdl.handle.net/10446/171350

A variable neighborhood search for home care scheduling under chargeable overtime and preference matching

Lanzarone, Ettore;
2019-01-01

Abstract

This paper addresses a home care (HC) scheduling problem faced by a real provider working in New York City area, USA. HC scheduling is an extension of vehicle routing problem with specific constraints and characteristics. The addressed problem is also a matching problem since it considers the caregiver-client matching which depends on the value of each pair's satisfaction. The novelties of our problem lie in chargeable overtimes, preference matching and several specific constraints from the provider. A mathematical model for the problem is provided with the objective of minimizing the unmatched preferences, the overtime cost paid by provider and the total caregivers' travel time. A variable neighborhood search algorithm is also proposed to solve the problem and tested on a real instance from considered HC provider. Numerical results show that the proposed algorithm can efficiently provide high quality solutions on real-sized instances.
2019
Zhu, Yanran; Matta, Andrea; Lanzarone, Ettore; Geng, Na
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/171350
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