Waste Management Scheduling Using Optimization and Decision Support Algorithms
2024 IEEE 15th Control and System Graduate Research Colloquium (ICSGRC)
(2024), pp. 222-226
Jayson A. Batoon
a
,
Sheryl May D. Lainez
b
,
Roman M. De Angel
c
,
Ace C. Lagman
c
,
Ronel F. Ramos
c
,
Victor D. Dorongon
d
a Bulacan State University, Bulacan, Philippines
b Mindoro State University, Mindoro, Philippines
c IT Department, FEU Institute of Technology, Manila, Philippines
d Manila Central University, Manila, Philippines
Abstract: This project was pushed through to engage people towards proper waste collection, through the utilization of mobile devices of the communities in different municipalities. The study aims to develop and implement a sustainable and efficient waste management collection system by informing the residents of the garbage truck collection schedule available on their mobile devices. Additionally, the platform utilizes optimization and decision support algorithms, including queuing algorithms, to receive and review complaints efficiently. The researcher employed an incremental software development methodology, allowing the software to be developed and tested even when requirements are still evolving. The study is descriptive-correlational, as it involves evaluating the developed system based on feedback from expert respondents. The evaluation yielded an overall mean performance score of 4.75, interpreted as “Strongly Agree,” indicating that the system is well-prepared for deployment.