An optimization model for location-allocation of health services under uncertainty

Carlos Alberto Franco Franco; Juan Carlos  Figueroa-Garcia; Roman Neruda

doi:10.1007/978-3-030-97344-5_7

An optimization model for location-allocation of health services under uncertainty

Carlos Alberto Franco Franco
, Juan Carlos Figueroa-Garcia
, Roman Neruda

School of Business Administration

Research output: Chapter in Book/Inform › Chapter › Research

Abstract

This work presents a uncertainty-based optimization model for allocation of healthcare facilities to serve patients with different needs. Fuzzy uncertainty is considered in the location-allocation costs, utility and the available budget which are commonly defined by experts and are subject to adjustments and negotiation over time. A fuzzy optimization method based on the cumulative membership function of a fuzzy set is applied to solve the problem where an equilibrium between a fuzzy utility goal and fuzzy-budgets, covering and service constraints is reached.

Original language	English
Title of host publication	Computational Intelligence Methodologies Applied to Sustainable Development Goals
Publisher	Springer
Chapter	7
Pages	97-108
Number of pages	12
ISBN (Electronic)	9783030973445
ISBN (Print)	9783030973438
DOIs	https://doi.org/10.1007/978-3-030-97344-5_7
State	Published - 2022

Publication series

Name	Studies in Computational Intelligence
Volume	1036
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

All Science Journal Classification (ASJC) codes

Public Health, Environmental and Occupational Health
General Computer Science

Access to Document

10.1007/978-3-030-97344-5_7

Cite this

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abstract = "This work presents a uncertainty-based optimization model for allocation of healthcare facilities to serve patients with different needs. Fuzzy uncertainty is considered in the location-allocation costs, utility and the available budget which are commonly defined by experts and are subject to adjustments and negotiation over time. A fuzzy optimization method based on the cumulative membership function of a fuzzy set is applied to solve the problem where an equilibrium between a fuzzy utility goal and fuzzy-budgets, covering and service constraints is reached.",

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An optimization model for location-allocation of health services under uncertainty. / Franco Franco, Carlos Alberto; Figueroa-Garcia, Juan Carlos ; Neruda, Roman.
Computational Intelligence Methodologies Applied to Sustainable Development Goals. Springer, 2022. p. 97-108 (Studies in Computational Intelligence; Vol. 1036).

Research output: Chapter in Book/Inform › Chapter › Research

TY - CHAP

T1 - An optimization model for location-allocation of health services under uncertainty

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AU - Figueroa-Garcia, Juan Carlos

AU - Neruda, Roman

PY - 2022

Y1 - 2022

N2 - This work presents a uncertainty-based optimization model for allocation of healthcare facilities to serve patients with different needs. Fuzzy uncertainty is considered in the location-allocation costs, utility and the available budget which are commonly defined by experts and are subject to adjustments and negotiation over time. A fuzzy optimization method based on the cumulative membership function of a fuzzy set is applied to solve the problem where an equilibrium between a fuzzy utility goal and fuzzy-budgets, covering and service constraints is reached.

AB - This work presents a uncertainty-based optimization model for allocation of healthcare facilities to serve patients with different needs. Fuzzy uncertainty is considered in the location-allocation costs, utility and the available budget which are commonly defined by experts and are subject to adjustments and negotiation over time. A fuzzy optimization method based on the cumulative membership function of a fuzzy set is applied to solve the problem where an equilibrium between a fuzzy utility goal and fuzzy-budgets, covering and service constraints is reached.

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M3 - Capítulo

SN - 9783030973438

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BT - Computational Intelligence Methodologies Applied to Sustainable Development Goals

PB - Springer

ER -

An optimization model for location-allocation of health services under uncertainty

Abstract

Publication series

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this