Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/5890
Full metadata record
DC FieldValueLanguage
dc.contributor.authorInanç B. C.-
dc.contributor.authorDastjerd N. K.-
dc.contributor.authorKakıllıoğlu E. A.-
dc.contributor.authorÜnver N. F.-
dc.date.accessioned2021-09-11T15:20:36Z-
dc.date.available2021-09-11T15:20:36Z-
dc.date.issued2017en_US
dc.identifier.citation7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2017, 26 July 2017 through 28 July 2017, , 129822en_US
dc.identifier.isbn9789897582653-
dc.identifier.urihttps://doi.org/10.5220/0006404100560064-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/5890-
dc.description.abstractIncessant increase of human population and environmental factors increase patients' need for blood, so research on this topic is a crucial necessity. A blood supply chain starts with the donation of blood and ends with transfusion to patient, and configuring blood supply chains as a whole has become a major requirement. In this research, blood supply chain system centralization and decentralization policies are compared for a specific setting in Turkey. Effects of these policies on performance measures like number of expired blood products in regional blood bank and, in each hospital and total cost of the blood supply chain system are observed using simulation modeling. Results show that under the given conditions the best policy is maintaining a decentralized blood supply policy which leads to a lower blood expiration rate and lower total cost. © Copyright 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.en_US
dc.description.sponsorshipInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)en_US
dc.language.isoenen_US
dc.publisherSciTePressen_US
dc.relation.ispartofSIMULTECH 2017 - Proceedings of the 7th International Conference on Simulation and Modeling Methodologies, Technologies and Applicationsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBlood Supply Chainen_US
dc.subjectCentralizationen_US
dc.subjectSimulation Modelingen_US
dc.titlePolicy Analysis With Simulation: Centralization of Blood Supply Chainen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Industrial Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümütr_TR
dc.identifier.startpage56en_US
dc.identifier.endpage64en_US
dc.identifier.scopus2-s2.0-85029378348en_US
dc.institutionauthorFescioğlu Ünver, Nilgün-
dc.identifier.doi10.5220/0006404100560064-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2017en_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

56
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.