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

Nolting, Christian Wolfgang ; Grobbelaar, Sara S. (Saartjie) ; Van Vuuren, Jan H. (2018-10)

CITATION: 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.

The original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations

Conference Paper

ENGLISH 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.

Please refer to this item in SUNScholar by using the following persistent URL: http://hdl.handle.net/10019.1/107578
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