Hybrid Metaheuristics for Solving a Home Health Care Routing and Scheduling Problem with Time Windows, Synchronized Visits and Lunch Breaks

2021 ◽  
pp. 115307
Author(s):  
Wenheng Liu ◽  
Mahjoub Dridi ◽  
Hongying Fei ◽  
Amir Hajjam El Hassani
2021 ◽  
Vol 10 (3) ◽  
pp. 217-230
Author(s):  
Jalel Euchi ◽  
Salah Zidi ◽  
Lamri Laouamer

Home health care faces new challenges day by day and it has become increasingly legitimate in the face of an aging population. Home healthcare centers are exposed to cumulative demands and academics are paying attention to the routing and scheduling matter, which is offered in literature as a Technician Routing and Scheduling Problem (TRSP) where the aim is to minimize the total cost subject to the time windows constraints to serve the patients respecting their priorities. In this paper, we develop a new distributed algorithm to resolve the home health care routing and scheduling problem (HHRSP). The principal idea of this algorithm is to apply artificial intelligence techniques in a distributed optimization method. The integration of automatic learning and search methods are applied to optimize the assignment of appointments to home caregivers. It allows us to gain time, effort, especially cost, and while complying with the problem constraints. The comparison results prove the efficacy of the recommended approach, which can offer decision support for medical executives of home health care.


2017 ◽  
Vol 50 (1) ◽  
pp. 14662-14667 ◽  
Author(s):  
J. Decerle ◽  
O. Grunder ◽  
A. Hajjam El Hassani ◽  
O. Barakat

2013 ◽  
Vol 17 (1) ◽  
pp. 15-30 ◽  
Author(s):  
Dorota Slawa Mankowska ◽  
Frank Meisel ◽  
Christian Bierwirth

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