Simplifying modeling assumptions: Reducing data requirements and enable real-time calculation | Assumptions:
All facilities at a given tier have the same demand quantity per order period Demand is the same for every order period and does not vary over time Facilities within a tier are evenly distributed throughout a given region and, thus, are the same average distance to their nearest re-supply point
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Standardizing design levers: Providing flexibility to model diverse global health distribution strategies |
Storage: At which levels do you hold and manage inventory? How much safety stock does each level hold, and how frequently is it replenished? Transportation: What types of vehicles are used to transport replenishment shipments? What type of distribution model is followed at each level (e.g., hub and spoke or multi-stop distribution loops), and are there any travel constraints (e.g., administrative boundaries)? Management: Who is responsible for performing key ordering, transport, and storage functions? What types of technology supports people at each level?
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Proxying data and worksheets to fill gaps: Enabling quick estimation of missing data points | Supporting worksheets and datasets:
A model for estimating immunization and/or reproductive health demand volumes and product value, by combining available demand planning methodologies with publicly available demographic and product data A general model for converting the number of units of a health product into a cubic-meter volume using historical product unit volume data Common commercial heuristics for estimating storage capacity of a warehouse based on its overall dimensions A database of typical costs for assets like vehicles, warehousing space, and cold chain equipment
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Using Excel-based platform for broad accessibility | |