TY - GEN
T1 - A decision support tool for calculating waste collection needs
AU - Kassem, Zeyad
AU - Gudivada, Venkata Saisrikar
AU - Escobedo, Adolfo R.
AU - Campbell, William F.
N1 - Funding Information:
The authors wish to acknowledge and thank the Capstone course instructor, Dr. Joseph Juarez, and the Capstone students: Ryan Abott, Mohamed Alghanem, Mohamed Altememi, Amy Holladay, Ngan Nguyen, and Kelly White who helped in the data collection.
Publisher Copyright:
© 2021 IISE Annual Conference and Expo 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Decision support tools
KW - Municipal solid waste
KW - Six Sigma DMAIC
KW - Utility companies
UR - http://www.scopus.com/inward/record.url?scp=85120955231&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120955231&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85120955231
T3 - IISE Annual Conference and Expo 2021
SP - 944
EP - 949
BT - IISE Annual Conference and Expo 2021
A2 - Ghate, A.
A2 - Krishnaiyer, K.
A2 - Paynabar, K.
PB - Institute of Industrial and Systems Engineers, IISE
T2 - IISE Annual Conference and Expo 2021
Y2 - 22 May 2021 through 25 May 2021
ER -