·
discrete event simulation,
·
statistical analysis/data mining,
·
forecasting,
·
process modelling,
·
system dynamics.
As a result we have started compiling an evolving list of software / tools which may help to solve
different types of problem. These tools could be useful not only for those
working on our 3rd sector projects but O.R./analytical professionals looking to
develop their all-round “O.R. toolkit”.
The list so far includes 40 tools across a range of areas
including:
·
Statistical analysis (e.g. PSPP, R)
·
Data visualisation (e.g. D3, Gephi, Vizable)
·
Geospatial and mapping (e.g. QGIS, GDAL, MapsData)
·
Programming languages (e.g. Python, Ruby)
·
Databases (e.g. PostGres, SQLlilte, ArangoDB)
·
Optimisation (e.g. Pyomo, OpenSolver)
·
Simulation (e.g. SimPy, Insight Maker)
·
Supply Chain (e.g. OpenBoxes, Odoo)
The list is ever-evolving and we would welcome further
contributions or to hear about any tools or software you have successfully used
in the past. Ideally the software should be free to use. The list can be
accessed at https://www.dropbox.com/s/crkoc002bo0j37p/Useful%20Software%20list.xlsx?dl=0.
Please email any suggestions to felicity.mcleister@theorsociety.com.
If you want to find out more about volunteering for a
project more information on the scheme is available here
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