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Polytechnic Institute of Bragança, Portugal

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2 Papers

A Multi-objective Approach to the Optimization of Home Care Visits Scheduling

Topics: Decision Support Systems; Optimization; OR in Health

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

Digital Object Identifier: 10.5220/0007565704350442

Proceedings of ICORES 2019, ISBN: 978-989-758-352-0

Quick 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 optimize and support decision making in home health care services. Moreover, this approach provides efficient and good solutions in a reasonable time.

Related Ontology Subjects/Areas/Topics (18)

Applications	Decision Support Systems	Operational Research
Artificial Intelligence	Decision Support Systems, Remote Data Analysis	Optimization
Business Analytics	Health Engineering and Technology Applications	OR in Health
Cardiovascular Technologies	Knowledge Discovery and Information Retrieval	Pattern Recognition
Computing and Telecommunications in Cardiology	Knowledge-Based Systems	Software Engineering
Data Engineering	Methodologies and Technologies	Symbolic Systems

Periodic Vehicle Routing Problem in a Health Unit

Topics: Decision Support Systems; Scheduling; Routing; OR in Health

Authors: F. Alves ¹ , F. Alvelos ² , A. M. 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, Campus de Santa Apolónia, 5300-253 Bragança, Portugal, Algoritmi R&D Centre, University of Minho, Braga and Portugal , ² Department of Production and Systems, Algoritmi Research Centre, University of Minho, Braga and Portugal , ³ Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança and Portugal

Digital Object Identifier: 10.5220/0007392803840389

Proceedings of ICORES 2019, ISBN: 978-989-758-352-0

Quick Abstract

In logistics of home health care services in the Health Units, the managers and nurses need to carry out the schedule and the vehicles routes for the provision of care at the patients’ homes. Currently, in Portugal, these services are increasingly used but the problem is still, usually, solved manually and without computational resources. The increased demand for home health care due to the boost of the elderly people number entails a high associated cost which, sometimes, does not guarantee the quality of the service. In this sense, the periodic vehicle routing problem is a generalization of the classical vehicle routing problem in which routes are determined for a time horizon of several days. In this work, it is provided a periodic vehicle routing problem applied in the Health Unit in Bragança. An integer linear programming formulation for the real database, allowed to solve the problem in an efficient and optimized way using the CPLEX R software.

Related Ontology Subjects/Areas/Topics (17)

Applications	Decision Support Systems	Pattern Recognition
Artificial Intelligence	Decision Support Systems, Remote Data Analysis	Routing
Business Analytics	Health Engineering and Technology Applications	Scheduling
Cardiovascular Technologies	Knowledge-Based Systems	Software Engineering
Computing and Telecommunications in Cardiology	Operational Research	Symbolic Systems
Data Engineering	OR in Health