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

Özceylan, Eren; Uslu, Aysenur; Erbaş, Mehmet; Çetinkaya, Cihan; İşleyen, Selçuk Kürşat

doi:10.11121/ijocta.01.2017.00373

Cited by 16 publications

(14 citation statements)

References 44 publications

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“…Geographic Information Systems (GIS), linear programming and mathematical models have often been advocated in the MCLP of health-care facilities (R. Church & ReVelle, 1974;Özceylan et al, 2017). The study covered the 774 Local Government Areas (LGAs) in Nigeria, focusing on the evaluation of the optimality of existing NCDCMLs, determination of the required numbers of additional NCDCMLs using the UTRHs as alternative sites, and evaluating the optimality of the seven newly proposed NCDCMLs.…”

Section: Methodsmentioning

confidence: 99%

“…The location and allocation of health facilities and services in many developing countries is largely influenced by political or pragmatic considerations (Agbenyo et al, 2017;Özceylan et al, 2017;Rahman and Smith, 2000;Rushton, 1984). The optimality of such location decision is often challenged during the period of emergency (Rahman & Smith, 1999).…”

Section: Introductionmentioning

confidence: 99%

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Maximal Covering Location Problem (MCLP) for the identification of potential optimal COVID-19 testing facility sites in Nigeria

Taiwo

2020

African Geographical Review

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The identification of University Teaching and Research Hospitals (UTRHs) for siting additional National Center for Disease Control Molecular Laboratories (NCDCMLs) for effective coverage of Local Government Areas (LGAs) during the COVID-19 pandemic was accomplished using the Maximal Covering Location Problem (MCLP) method. The maximum number of NCDCMLs required together with the maximum drive time to these identified optimal NCDCMLs were estimated. The NCDCMLs are skewed in favor of the southwestern Nigeria and there is a significant positive correlation between the number of NCDCMLs and the reported COVID-19 infections (r= 0.860, p< 0.001). There are 22.22%, 35.79%, 63.82%, 76.10% and 82.04% of LGAs within 2, 4, 6, 8, and 10hr drive time, respectively, from at least one NCDCML. Addition of five new UTRHs will ensure that 79% of all the LGAs in Nigeria are within 4 hr drive time to at least one NCDCML. Four of the seven proposed new NCNCMLs are optimal while the remaining three are not. Perhaps, this study is the first attempt at evaluating the use of UTRHs as an alternative to none UTRHs NCDCML. The use of the MCLP method allows for the identification of not only the required numbers of NCDCMLs but also the drive time to them.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Maximal Covering Location Problem (MCLP) for the identification of potential optimal COVID-19 testing facility sites in Nigeria

Taiwo

2020

African Geographical Review

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“…Other examples of GIS application in different spheres of human activity while solving the location-allocation problems are given in papers [18]- [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Solution of the problem to optimize two-stage allocation of the material flows

Bulat¹,

Dziuba²,

Minieiev³

et al. 2020

Min. miner. depos.

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Purpose is to elaborate innovative and computationally efficient algorithm to solve a problem of two-stage allocation of the resource occupying continuously the specified area as well as to demonstrate the behaviour of the corresponding software developed with the application of advanced geoinformation resources. Methods. The paper involves mathematical models of continuous problems of optimal set partitioning with additional connections to describe two-stage problems of the material resource location-allocation. Methodological approach to the solution of such problems is based on the idea of their reducing to the problem of infinite-dimensional mathematical programming for which it is possible to obtain optimal solution in the analytical form with the help of the duality theory apparatus. Findings. Mathematical and algorithmic apparatus to solve continuous problems applied for the fuel and energy complex enterprises has been developed making it possible to obtain partitioning of the deposit area into the zones, which are allocated to the first-stage enterprises exclusively. The algorithm operation is demonstrated in terms of the model problem solution. It has been defined that the benefit of such an approach is in the reducing of the infinite-dimensional programming problem to the problem of finite-dimensional nonsmoth optimization since the obtained computational formulas contain the parameters which determination requires solving the auxiliary problem of the nondifferentiable function optimization. Originality. Contrary to the previously developed one, the proposed algorithm does not stipulate solution of the linear programming problem of transport type at each step of the iteration process. Such a problem is solved only once to find the volumes of product transportation between the first-stage and second-stage enterprises after defining all the optimal solution components. Practical implications. Software implementation of the algorithm on the basis of the advanced geoinformation technologies and resources, in terms of the solution of raw material flow allocation, makes it possible to reduce total costs for the management of material flows and their accompanying service flows throughout the whole logistic chain beginning from the flow origin up to its arrival to the end user.

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“…They provide that the multiple duty pharmacy scheduling problem is NP-hard under the assumption of incapacitated pharmacies. The last study is on the location of pharmacies is belongs to [4]. They use set covering, pcenter and p-median models with geographic information systems in order to select the most suitable triad of pharmacies -hospitals-warehouses to minimize the total transportation distance in the province of Gaziantep.…”

Section: Literature Reviewmentioning

confidence: 99%

Distance restricted maximal covering model for pharmacy duty scheduling problem

Uncu

Bulğurcu

Kılıç

2018

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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Pharmacies are considered as an integral part of health care systems for supplying medicine to patients. In order to access medicine with ease, pharmacies locations in the context of distance and demand are important for patients. In the case of a few numbers of pharmacies may be on duty at nights or during holidays, pharmacies duty scheduling problem occur and can be associated with location models. In contrast to widely used p-median model which aims to minimize the demand-weighted distance, we maximize the demand covered over the distance between the patients and the pharmacies on duty. Main contribution of the proposed model is the restriction constraint for the distance between pharmacies on duty in order to ensure fairness in an organizational view of point. We propose a distance restricted maximal covering location model (DR-MCLM) in this study. This mathematical model is a mixed integer linear programming model and solved by Lingo optimization software. The distances between the pharmacies and the sites are obtained using Geographic Information Systems (GIS). The model is applied for the case in Adana, one of the biggest cities in Turkey. The results are given on the maps of the city, including the pharmacies on duty and their assignments to sites in each day of the period.

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

Cited by 16 publications

References 44 publications

Maximal Covering Location Problem (MCLP) for the identification of potential optimal COVID-19 testing facility sites in Nigeria

Maximal Covering Location Problem (MCLP) for the identification of potential optimal COVID-19 testing facility sites in Nigeria

Solution of the problem to optimize two-stage allocation of the material flows

Distance restricted maximal covering model for pharmacy duty scheduling problem

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