Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A healthcare facility location problem for a multi -disease, multi -service environment under risk aversion
Date
2020-09-01
Author
Taymaz, S.
Iyigun, C.
Bayındır, Zeynep Pelin
Dellaert, N. P.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
293
views
0
downloads
Cite This
This paper presents a stochastic optimisation model for locating walk-in clinics for mobile populations in a network. The walk-in clinics ensure a continuum of care for the mobile population across the network by offering a perpetuation of services along the transportation lines, and also establishing referral systems to local healthcare facilities. The continuum of care requirements for different diseases is modelled using coverage definitions that are designed specifically to reflect the adherence protocols for services for different diseases. The risk of not providing the required care under different realisations of health service demand is considered. In this paper, for a multi-disease, multi-service environment, we propose a model to determine the location of roadside walk-in clinics and their assigned services. The objective is to maximise the total expected weighted coverage of the network subject to a Conditional-Value-at-Risk (CVaR) measure. This paper presents developed coverage definitions, the optimisation model and the computational study carried out on a real-life case in Africa.
Subject Keywords
Management Science and Operations Research
,
Strategy and Management
,
Statistics, Probability and Uncertainty
,
Geography, Planning and Development
,
Economics and Econometrics
URI
https://hdl.handle.net/11511/42634
Journal
SOCIO-ECONOMIC PLANNING SCIENCES
DOI
https://doi.org/10.1016/j.seps.2019.100755
Collections
Department of Industrial Engineering, Article
Suggestions
OpenMETU
Core
A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem
Karasakal, Esra (Elsevier BV, 2017-12-01)
In this paper, multiple criteria sorting methods based on data envelopment analysis (DEA) are developed to evaluate research and development (R&D) projects. The weight intervals of the criteria are obtained from Interval Analytic Hierarchy Process and employed as the assurance region constraints of models. Based on data envelopment analysis, two threshold estimation models, and five assignment models are developed for sorting. In addition to sorting, these models also provide ranking of the projects. The de...
A resource investment problem with time/resource trade-offs
Colak, Erdem; Azizoğlu, Meral (Informa UK Limited, 2014-05-01)
In this study, we consider a Resource Investment Problem with time/resource trade-offs in project networks. We assume that there is a single renewable resource and the processing requirement of an activity can be reduced by investing extra resources. Our aim is to minimize the maximum resource usage, hence, the total amount invested for the single resource, while meeting the pre-specified deadline. We formulate the problem as a mixed integer linear model and find optimal solutions for small-sized problem in...
R&D Project Performance Evaluation With Multiple and Interdependent Criteria
Tohumcu, Zeynep; Karasakal, Esra (Institute of Electrical and Electronics Engineers (IEEE), 2010-11-01)
In this study, we develop an approach based on analytic network process (ANP) and data envelopment analysis (DEA) to evaluate the performance of Research and Development projects. We identify a set of criteria and subcriteria having interdependencies among themselves. Interdependency is treated using a hybrid ANP model consisting of both hierarchy and network. The interval pairwise comparison matrices are constructed in a group decision-making process. ANP is extended to obtain interval weights from the int...
A hybrid Benders approach for coordinated capacitated lot-sizing of multiple product families with set-up times
Bayley, Tiffany; Süral, Haldun; Bookbinder, James H. (Informa UK Limited, 2018-01-01)
We examine a coordinated capacitated lot-sizing problem for multiple product families, where demand is deterministic and time-varying. The problem considers set-up and holding costs, where capacity constraints limit the number of individual item and family set-up times and the amount of production in each period. Using a strong reformulation and relaxing the demand constraints, we improve both the upper and lower bounds using a combination of Benders decomposition and an evolutionary algorithm, followed by ...
A new approach to neural trip distribution models: NETDIM
Tapkin, Serkan; Akyilmaz, Ozdemir (Informa UK Limited, 2009-01-01)
This paper develops and presents a new neural network approach to model trip distribution, which is one of the important phases of conventional four-step travel demand modelling. The trip distribution problem has been investigated using back-propagation artificial neural networks in a number of studies and it was concluded that back-propagation artificial neural networks underperform when compared to traditional models. Such underperformance is due to the thresholding of the linearly combined inputs by util...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Taymaz, C. Iyigun, Z. P. Bayındır, and N. P. Dellaert, “A healthcare facility location problem for a multi -disease, multi -service environment under risk aversion,”
SOCIO-ECONOMIC PLANNING SCIENCES
, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42634.