A decision support tool for quantifying the risk profile of south Africa’s pharmaceutical supply distribution network

Simple item page
dc.contributor.authorNolting, Christian Wolfgangen_ZA
dc.contributor.authorGrobbelaar, Sara S.en_ZA
dc.contributor.authorVan Vuuren, Jan H.en_ZA
dc.date.accessioned2020-03-04T06:42:13Z
dc.date.available2020-03-04T06:42:13Z
dc.date.issued2018-10
dc.descriptionCITATION: Nolting, C. W., Grobbelaar, S. S. & Van Vuuren, J. H. 2018. A decision support tool for quantifying the risk profile of south Africa’s pharmaceutical supply distribution network. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa.
dc.descriptionThe original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations
dc.description.abstractENGLISH ABSTRACT: South Africa is facing a serious burden of disease, which is exacerbated by a dysfunctional public health care system. Blind, general estimates are often made in respect of crucial pharmaceutical inventory variables. This results in slow-moving pharmaceutical drugs being overstocked and fast-moving drugs being understocked at outlets and distribution centres. Consequently, large wastages are incurred in terms of drugs being discarded in bulk after passing their expiration date. As a result, patients are deprived of essential medicines due to enduring stock-outs. This paper aims to present the conceptual design of a decision support tool, which aids decision makers in determining pharmaceutical inventory variables that align with key objectives and keep the best interest of patients in mind.en_ZA
dc.description.urihttps://conferences.sun.ac.za/index.php/saiie29/saiie29/paper/view/3675
dc.description.versionPublisher's version
dc.format.extent16 pagesen_ZA
dc.identifier.citationNolting, C. W., Grobbelaar, S. S. & Van Vuuren, J. H. 2018. A decision support tool for quantifying the risk profile of south Africa’s pharmaceutical supply distribution network. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa
dc.identifier.urihttp://hdl.handle.net/10019.1/107578
dc.language.isoen_ZAen_ZA
dc.publisherSouth African Institute for Industrial Engineeringen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectPharmaceutical inventoryen_ZA
dc.subjectPublic health servicesen_ZA
dc.subjectDrug delivery systems industryen_ZA
dc.subjectDistribution centersen_ZA
dc.titleA decision support tool for quantifying the risk profile of south Africa’s pharmaceutical supply distribution networken_ZA
dc.typeConference Paperen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
nolting_decision_2018.pdf
Size:
676.27 KB
Format:
Adobe Portable Document Format
Description:
Download article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Conference Proceedings (Industrial Engineering)