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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Appl+Soft+Comput
2020 ; 93
(ä): 106385
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A bi-objective home healthcare routing and scheduling problem considering
patients satisfaction in a fuzzy environment
#MMPMID32395097
Fathollahi-Fard AM
; Ahmadi A
; Goodarzian F
; Cheikhrouhou N
Appl Soft Comput
2020[Aug]; 93
(ä): 106385
PMID32395097
show ga
Home care services are an alternative answer to hospitalization, and play an
important role in reducing 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.
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