Building an open-source national-scale logistic system in Bhutan
How do you build a complex logistic system that collects, at national scale, the country-wide harvest, on a developing country, with little or no good data and uneven roads conditions?
To know the harvest needs, we need to know the harvest volume, timing and road access. To know these, we need good road maps (we will use OSM), and a custom routing engine (OSRM, that runs on top of OSM) to guide our loaded trucks (“DCM”s, a type of truck). That means we will need JOSM to improve OSM, and also QGIS to visualize the harvest and support the decision making. To assist on the mapping we use the free-tier of the commercial service MAPBOX (that pulls OSM data), as well as Digital Globe (DG) satellite images, and processed data from our corporate management tool (RMT) — which has information such a farmer locations, GPS traces and tree phenology data — . Then, to prioritize the tracing, to make statistics of the logistics and to estimate the harvest, we will need to do some data science. We will be using PYTHON, running on JUPYTER notebooks for documentation and clarity. To register and managed the knowledge we create, and to collaborate among the member of the team, we will use GIT and we will back it up on GITHUB, where we also do file progress and Issues.
via https://medium.com/@brunosan/building-an-open-source-national-scale-logistic-system-e45b597605f2