Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep

It is a known fact that basic health care services cannot reach the majority of the population due to poor geographical accessibility. Unless quantitative location-allocation models and geographic information systems (GIS) are used, the final decision may be made on pragmatic considerations which ca...

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Main Authors: Eren Özceylan, Ayşenur Uslu, Mehmet Erbaş, Cihan Çetinkaya, Selçuk Kürşat İşleyen
Format: Article
Language:English
Published: Balikesir University 2017-01-01
Series:An International Journal of Optimization and Control: Theories & Applications
Subjects:
Online Access:http://ijocta.balikesir.edu.tr/index.php/files/article/view/373
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author Eren Özceylan
Ayşenur Uslu
Mehmet Erbaş
Cihan Çetinkaya
Selçuk Kürşat İşleyen
author_facet Eren Özceylan
Ayşenur Uslu
Mehmet Erbaş
Cihan Çetinkaya
Selçuk Kürşat İşleyen
author_sort Eren Özceylan
collection DOAJ
description It is a known fact that basic health care services cannot reach the majority of the population due to poor geographical accessibility. Unless quantitative location-allocation models and geographic information systems (GIS) are used, the final decision may be made on pragmatic considerations which can result far from optimal. In this paper, current and possible (or potential) new locations of pharmacy warehouses in Gaziantep are investigated to provide optimal distribution of hospitals and pharmacies. To do so, first of all, geographic information of 10 current and 10 potential pharmacy warehouses, 231 pharmacies and 29 hospitals are gathered using GIS. Second, a set covering mathematical model is handled to determine coverage capability of current and potential pharmacy warehouses and minimize the number of warehouses to be opened. Finally, P-center and P-median mathematical models are applied to open potential warehouses and to assign pharmacies & hospitals to the opened warehouses so that the total distance and the demand’s longest distance to the source are minimized. Developed integer programming (IP) models and GIS software are compared with on a case study. Computational experiments prove that our approach can find new potential pharmacy warehouses which cover wider areas than current warehouses to service pharmacies and hospitals in the city.
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spelling doaj.art-4a8e45f3111a430c93df201ad0c2b1122023-02-15T16:11:55ZengBalikesir UniversityAn International Journal of Optimization and Control: Theories & Applications2146-09572146-57032017-01-017111712910.11121/ijocta.01.2017.00373104Optimizing the location-allocation problem of pharmacy warehouses: A case study in GaziantepEren Özceylan0Ayşenur Uslu1Mehmet Erbaş2Cihan Çetinkaya3Selçuk Kürşat İşleyen4Gazianep UniversitesiDepartment of Industrial Engineering, Başkent University, TurkeyGeneral Command of Mapping, Ministry of National Defense, Ankara, TurkeyDepartment of Industrial Engineering, Gaziantep University, TurkeyDepartment of Industrial Engineering, Gazi University, TurkeyIt is a known fact that basic health care services cannot reach the majority of the population due to poor geographical accessibility. Unless quantitative location-allocation models and geographic information systems (GIS) are used, the final decision may be made on pragmatic considerations which can result far from optimal. In this paper, current and possible (or potential) new locations of pharmacy warehouses in Gaziantep are investigated to provide optimal distribution of hospitals and pharmacies. To do so, first of all, geographic information of 10 current and 10 potential pharmacy warehouses, 231 pharmacies and 29 hospitals are gathered using GIS. Second, a set covering mathematical model is handled to determine coverage capability of current and potential pharmacy warehouses and minimize the number of warehouses to be opened. Finally, P-center and P-median mathematical models are applied to open potential warehouses and to assign pharmacies & hospitals to the opened warehouses so that the total distance and the demand’s longest distance to the source are minimized. Developed integer programming (IP) models and GIS software are compared with on a case study. Computational experiments prove that our approach can find new potential pharmacy warehouses which cover wider areas than current warehouses to service pharmacies and hospitals in the city.http://ijocta.balikesir.edu.tr/index.php/files/article/view/373P-medianp-centerset coveringGISnetwork analysis
spellingShingle Eren Özceylan
Ayşenur Uslu
Mehmet Erbaş
Cihan Çetinkaya
Selçuk Kürşat İşleyen
Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep
An International Journal of Optimization and Control: Theories & Applications
P-median
p-center
set covering
GIS
network analysis
title Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep
title_full Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep
title_fullStr Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep
title_full_unstemmed Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep
title_short Optimizing the location-allocation problem of pharmacy warehouses: A case study in Gaziantep
title_sort optimizing the location allocation problem of pharmacy warehouses a case study in gaziantep
topic P-median
p-center
set covering
GIS
network analysis
url http://ijocta.balikesir.edu.tr/index.php/files/article/view/373
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