SPAR

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SPAR – Collection Planning and Analysis System

SPAR is a computer solution providing waste collection support for the general market (selective and unsorted collection), supplying the necessary tools for the effective planning and management of the resources assigned to this activity and to the exploration and analysis of data for decision support purposes.

Watch the RTP2 news coverage about SPAR, transmitted in Biosfera on 30-08-2009:

 


Main Features:

  • Management of recycling and general collection bins
  • Management of collection and maintenance/cleaning circuits
  • Geo-referencing and cartographic viewing of the recycling points and the paths taken by the work teams
  • Generation of activity reports - quantities collected, kilometres/hours spent per work team and vehicle, etc.
  • Bin filling forecasts
  • Issue of warnings and automatic transmission of indicators by e-mail and SMS
  • Export of data to Excel, Word, PDF, etc.
  • Citizen interaction platforms - internet and SMS
  • Integration with weighing (SPAT) and sorting (SIT) solutions
  • Integration with the client’s ERP.


Modules:

  • BackOffice: management of the process entities, route/circuit planning and exploration and analysis of the information generated
  • Mobility: software for mobile devices to permit the data gathering in the field
  • Cartography: viewing cartographic information (location of recycling points, vehicle paths, etc.)
  • Internet: system data access and analysis via browser
  • Business Viewer: monitoring of business indicators
  • Business intelligence: viewing vital decision-making information
  • Citizens’ Portal: Web-based communication channel with citizens
  • SMS: SMS-based communication channel with citizens
  • Integration: Integration with external systems (SPAT, etc.)


Advantages:

  • Computerisation of the selective collection process
  • Elimination of manual check sheets
  • Integrated management of all process data
  • Reduced costs/operating times
  • Effective and flexible mechanisms for analysing and processing of the information obtained
  • Data analysis from various perspectives
  • Viewing information in cartographic format
  • Monitoring business indicators
  • Citizen interaction mechanisms
  • Increased satisfaction levels of general public
  • Integration with existing information systems
  • Transversal management of business information