Free software software/tools available to O.R./analytical professionals

A variety of analytical and modelling techniques have been used for Pro Bono O.R. projects so far, including:

·       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 3^rd 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

Pro Bono and Software

Guest blog from Jon Tecwyn, Department of Energy and Climate Change

I have recently joined the steering committee for the Pro Bono O.R. scheme – a project which partners O.R. analysts with third sector organisations to provide free consultancy for a range of operational improvements and strategic planning projects. Projects generated so far have ranged from dog modelling to simulating shift patterns, measuring impact to supporter donation process mapping.

A variety of analytical and modelling techniques have been used so far, including:

·       discrete event simulation,

·       statistical analysis/data mining,

·       forecasting,

·       process modelling,

·       system dynamics.

My first suggestion as part of the committee was that we should provide O.R. analysts partaking in projects with 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 3^rd sector projects but OR Society members looking to develop their all-round “O.R. toolkit”.

The list so far includes 14 tools across a range of areas:

·       Statistical analysis (e.g. PSPP, R)

·       Data visualisation (e.g. Vizable)

·       Programming languages (e.g. Python, Ruby)

·       Databases (e.g. PostGres, PostGIS)

·       Simulation (SimPy)

·       Mapping software (e.g. MapsData)

 MapsData: Mapping car crashes in the UK

(Source: http://www.mapsdata.co.uk/wp-content/themes/inquiron/images/accident-heat.jpg)

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 here 

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: http://www.theorsociety.com/probono