Authors:
Filipe Alves
1
;
Lino Costa
2
;
Ana Maria A. C. Rocha
2
;
Ana I. Pereira
1
and
Paulo Leitão
3
Affiliations:
1
Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança, Portugal, Algoritmi R&D Centre, University of Minho, Braga and Portugal
;
2
Department of Production and Systems, Algoritmi R&D Centre, University of Minho, Braga and Portugal
;
3
Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Bragança and Portugal
Keyword(s):
Home Health Care, Multi-objective, Scheduling, Optimization.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Health Engineering and Technology Applications
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Operational Research
;
Optimization
;
OR in Health
;
Pattern Recognition
;
Software Engineering
;
Symbolic Systems
Abstract:
Due to the increasing of life expectancy in the developed countries, the demand for home health care services is growing dramatically. Usually, home services are planned manually and lead to various optimization problems in their activities. In this sense, health units are confronted with appropriate scheduling which may contain multiple, often conflicting, objectives such as minimizing the costs related to the traveling distance while minimizing the traveling time. In order to analyze and discuss different trade-offs between these objectives, it is proposed a multi-objective approach to home health care scheduling in which the problem is solved using the Tchebycheff method and a Genetic algorithm. Different alternative solutions are presented to the decision maker that taking into account his/her preferences chooses the appropriate solution. A problem with real data from a home health care service is solved. The results highlight the importance of a multi-objective approach to optim
ize and support decision making in home health care services. Moreover, this approach provides efficient and good solutions in a reasonable time.
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