A bi-objective home healthcare routing and scheduling problem considering patients’ satisfaction in a fuzzy environment
Data
2020Autor
Fathollahi-Fard, Amir Mohammad
Ahmadi, Abbas
Goodarzian, Fariba
Cheikhrouhou, Naoufel
Metadata
Mostrar registro completo
Documentos PDF
Imagenes y Videos
Resumo
the healthcare costs for governments and healthcare practitioners. To find a valid plan for these
services, an optimization problem called the home healthcare routing and scheduling problem is
motivated to perform the logistics of the home care services. Although most studies mainly focus on
minimizing the total cost of logistics activities, no study, as far as we know, has treated the patients’
satisfaction as an objective function under uncertainty. To make this problem more practical, this
study proposes a bi-objective optimization methodology to model a multi-period and multi-depot
home healthcare routing and scheduling problem in a fuzzy environment. With regards to a group of
uncertain parameters such as the time of travel and services as well as patients’ satisfaction, a fuzzy
approach named as the Jimenez’s method, is also utilized. To address the proposed home healthcare
problem, new and well-established metaheuristics are obtained. Although the social engineering
optimizer (SEO) has been applied to several optimization problems, it has not yet been applied
in the healthcare routing and scheduling area. Another innovation is to develop a new modified
multi-objective version of SEO by using an adaptive memory strategy, so-called AMSEO. Finally, a
comprehensive discussion is provided by comparing the algorithms based on multi-objective metrics
and sensitivity analyses. The practicality and efficiency of the AMSEO in this context lends weight to
the development and application of the approach more broadly.
Palabras clave
1568-4946Link para o recurso
https://doi.org/10.1016/j.asoc.2020.106385Collections
Estadísticas Google Analytics
Comments
Respuesta Comentario Repositorio Expeditio
Gracias por tomarse el tiempo para darnos su opinión.