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Published byClaribel Hopkins Modified over 6 years ago
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Figure 1. Dynamic supply chain model of second line tuberculosis drugs in the Western Cape Province, South Africa From: Reducing stock-outs of essential tuberculosis medicines: a system dynamics modelling approach to supply chain management Health Policy Plan. 2017;32(8): doi: /heapol/czx057 Health Policy Plan | © The Author Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please
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Figure 2. Monthly inventory holding level of amikacin on hand at Cape Medical Depot as a percentage of demand for amikacin. Dotted line indicates the average inventory level of 267% of monthly demand From: Reducing stock-outs of essential tuberculosis medicines: a system dynamics modelling approach to supply chain management Health Policy Plan. 2017;32(8): doi: /heapol/czx057 Health Policy Plan | © The Author Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please
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Figure 3. Scatter plot of scenario modelling results for number of shortages (vertical axis) and total associated cost (horizontal axis). Each point represents one of the 141 scenarios. Marker styles show which variable is adjusted or denotes a combined scenario where two variables were adjusted. The set of Pareto optimal and near-Pareto optimal outcomes are circled From: Reducing stock-outs of essential tuberculosis medicines: a system dynamics modelling approach to supply chain management Health Policy Plan. 2017;32(8): doi: /heapol/czx057 Health Policy Plan | © The Author Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please
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