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