A decision support tool for calculating waste collection needs

Zeyad Kassem, Venkata Saisrikar Gudivada, Adolfo R. Escobedo, William F. Campbell

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We introduce a case study of a sustainability driven project involving a utility company based in Arizona. The company operates out of 22 facilities, which produce municipal solid waste hauled regularly by a waste hauling company. To increase the utilization of waste bins, we followed conceptually the Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) methodology. A field experiment was designed to measure the utilization of waste bins across four facilities, from which potential cost savings were identified. From these measurements, we created a decision support tool that provides detailed analyses on the utilization of waste bins and what-if analyses for experimenting with different bin configurations in terms of bin sizes, total number of bins, and pick-up schedules. The decision support tool has been able to detect potential annual savings close to 50% of current annual costs by increasing utilization across four facilities, and it could lead to higher savings when it is implemented to other facilities. Moreover, by reducing the number of waste hauler pick-ups, the tool would potentially lead to reductions in GHG emissions.

Original languageEnglish (US)
Title of host publicationIISE Annual Conference and Expo 2021
EditorsA. Ghate, K. Krishnaiyer, K. Paynabar
PublisherInstitute of Industrial and Systems Engineers, IISE
Number of pages6
ISBN (Electronic)9781713838470
StatePublished - 2021
Externally publishedYes
EventIISE Annual Conference and Expo 2021 - Virtual, Online
Duration: May 22 2021May 25 2021

Publication series

NameIISE Annual Conference and Expo 2021


ConferenceIISE Annual Conference and Expo 2021
CityVirtual, Online


  • Decision support tools
  • Municipal solid waste
  • Six Sigma DMAIC
  • Utility companies

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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