Pharmacy duty scheduling problem

dc.contributor.author Özpeynirci, Özgür
dc.contributor.author Aglamaz, Ebru
dc.date.accessioned 2023-06-16T14:31:17Z
dc.date.available 2023-06-16T14:31:17Z
dc.date.issued 2016
dc.description.abstract In this study, we define the pharmacy duty scheduling problem, which requires a subset of pharmacies to be on duty on national holidays, at weekends, and at nights, in order to be able to satisfy the emergency medicine needs. We model the pharmacy duty scheduling problem as a multiperiod p-median problem with special side constraints, and analyze the computational complexity. We propose a Tabu Search heuristic and develop lower bound (LB) algorithms. We test the performance of mathematical models, Tabu Search heuristic, and the LBs on randomly generated instances. We analyze the current system in. Izmir, the third largest city in Turkey, with a population of 3.5 million, and apply solution methods. Our results show that the proposed Tabu Search algorithm suggests improvements on the current system. en_US
dc.description.sponsorship Scientific and Technological Research Council of Turkey (TUBITAK) [3501-111M107]; TUBITAK [2219] en_US
dc.description.sponsorship The first author acknowledges the support of the Scientific and Technological Research Council of Turkey (TUBITAK), grant number 3501-111M107. During some part of this research, the first author was a visiting researcher at Ecole Centrale Paris and funded by TUBITAK, 2219 programme. The second author acknowledges TUBITAK scholarship. en_US
dc.identifier.doi 10.1111/itor.12204
dc.identifier.issn 0969-6016
dc.identifier.issn 1475-3995
dc.identifier.scopus 2-s2.0-84954402287
dc.identifier.uri https://doi.org/10.1111/itor.12204
dc.identifier.uri https://hdl.handle.net/20.500.14365/2051
dc.language.iso en en_US
dc.publisher Wiley en_US
dc.relation.ispartof Internatıonal Transactıons in Operatıonal Research en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject pharmacy duty scheduling en_US
dc.subject multiperiod p-median problem en_US
dc.subject Tabu search en_US
dc.subject Tabu Search Approach en_US
dc.subject Neighborhood Search en_US
dc.subject Station Location en_US
dc.subject Algorithm en_US
dc.subject Errors en_US
dc.title Pharmacy duty scheduling problem en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Özpeynirci, Özgür/0000-0002-3695-6587
gdc.author.scopusid 16402801100
gdc.author.scopusid 56830598300
gdc.author.wosid Özpeynirci, Özgür/A-2796-2009
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İEÜ, İşletme Fakültesi, Lojistik Yönetimi Bölümü en_US
gdc.description.departmenttemp [Özpeynirci, Özgür] Izmir Univ Econ, Dept Logist Management, Izmir, Turkey; [Aglamaz, Ebru] Adnan Menderes Univ, Dept Tourism Management, Aydin, Turkey en_US
gdc.description.endpage 480 en_US
gdc.description.issue 3 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 459 en_US
gdc.description.volume 23 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W1831233558
gdc.identifier.wos WOS:000368144400005
gdc.index.type WoS
gdc.index.type Scopus
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gdc.oaire.downloads 3
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gdc.oaire.keywords Deterministic scheduling theory in operations research
gdc.oaire.keywords tabu search
gdc.oaire.keywords Case-oriented studies in operations research
gdc.oaire.keywords multiperiod \(p\)-median problem
gdc.oaire.keywords Approximation methods and heuristics in mathematical programming
gdc.oaire.keywords pharmacy duty scheduling
gdc.oaire.popularity 4.6063082E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.views 10
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gdc.opencitations.count 7
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gdc.plumx.mendeley 16
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gdc.scopus.citedcount 6
gdc.virtual.author Özpeynirci, Özgür
gdc.wos.citedcount 5
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