Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation

This study uses a four-week simulation to evaluate traditional, semi-automatic, and autonomous waste management systems, employing Principal Component Analysis (PCA), Discrete Event Simulation (DES), and an ANOVA test. PCA was used to visualise and understand the variations in waste collection volum...

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Main Authors: Abolade David Omiyale, Ladi F. Ogunwolu, Olawale Olaniyi Ajibola
Format: Article
Language:English
Published: Universitas Sanata Dharma 2024-12-01
Series:International Journal of Applied Sciences and Smart Technologies
Online Access:https://e-journal.usd.ac.id/safe/index.php/IJASST/article/view/9153
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author Abolade David Omiyale
Ladi F. Ogunwolu
Olawale Olaniyi Ajibola
author_facet Abolade David Omiyale
Ladi F. Ogunwolu
Olawale Olaniyi Ajibola
author_sort Abolade David Omiyale
collection DOAJ
description This study uses a four-week simulation to evaluate traditional, semi-automatic, and autonomous waste management systems, employing Principal Component Analysis (PCA), Discrete Event Simulation (DES), and an ANOVA test. PCA was used to visualise and understand the variations in waste collection volumes between the three systems, with the first two principal components accounting for 100% of the variance (PC1: 56.3%, PC2: 43.7%). Each system was classified into distinct clusters: traditional in the lower-left quadrant, semi-automatic in the upper-left and lower-right quadrants, and autonomous in the upper-right quadrant, with ANOVA indicating significant variations. DES simulated everyday waste collection for 120 days. The traditional system collected an average of 50 kg/day with a 10-kilogramme variance, the semi-automatic 48 kg/day with an 8 kg variability, and the autonomous 45 kg/day with a 5 kg variability. The total waste collected was 6012.34 kg (traditional), 5824.29 kg (semi-automatic), and 5482.67 kg (autonomous). Fuel consumption, cost savings, and environmental impacts were analyzed. The autonomous system showed the lowest fuel consumption and highest cost savings, significantly reducing carbon emissions compared to others. The results from PCA and DES, supported by ANOVA, indicate that while the traditional system is most efficient in waste collection, the autonomous system offers consistent performance and significant environmental benefits. This comprehensive analysis provides valuable insights for optimizing waste management strategies and balancing efficiency, cost, and environmental impact. Keywords: Solid waste management, Autonomous systems, urbanization, environmental impact, and Sustainability.
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spelling doaj-art-4f5fc15336f84819b68d7017b35f0f4c2024-12-21T04:49:43ZengUniversitas Sanata DharmaInternational Journal of Applied Sciences and Smart Technologies2655-85642685-94322024-12-016234936610.24071/ijasst.v6i2.91533745Comparative Analysis of Three Solid Waste Management Systems Towards Full AutomationAbolade David Omiyale0Ladi F. Ogunwolu1Olawale Olaniyi Ajibola2University of Lagos, Nigeria.University of Lagos, Nigeria.University of Lagos, Nigeria.This study uses a four-week simulation to evaluate traditional, semi-automatic, and autonomous waste management systems, employing Principal Component Analysis (PCA), Discrete Event Simulation (DES), and an ANOVA test. PCA was used to visualise and understand the variations in waste collection volumes between the three systems, with the first two principal components accounting for 100% of the variance (PC1: 56.3%, PC2: 43.7%). Each system was classified into distinct clusters: traditional in the lower-left quadrant, semi-automatic in the upper-left and lower-right quadrants, and autonomous in the upper-right quadrant, with ANOVA indicating significant variations. DES simulated everyday waste collection for 120 days. The traditional system collected an average of 50 kg/day with a 10-kilogramme variance, the semi-automatic 48 kg/day with an 8 kg variability, and the autonomous 45 kg/day with a 5 kg variability. The total waste collected was 6012.34 kg (traditional), 5824.29 kg (semi-automatic), and 5482.67 kg (autonomous). Fuel consumption, cost savings, and environmental impacts were analyzed. The autonomous system showed the lowest fuel consumption and highest cost savings, significantly reducing carbon emissions compared to others. The results from PCA and DES, supported by ANOVA, indicate that while the traditional system is most efficient in waste collection, the autonomous system offers consistent performance and significant environmental benefits. This comprehensive analysis provides valuable insights for optimizing waste management strategies and balancing efficiency, cost, and environmental impact. Keywords: Solid waste management, Autonomous systems, urbanization, environmental impact, and Sustainability.https://e-journal.usd.ac.id/safe/index.php/IJASST/article/view/9153
spellingShingle Abolade David Omiyale
Ladi F. Ogunwolu
Olawale Olaniyi Ajibola
Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation
International Journal of Applied Sciences and Smart Technologies
title Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation
title_full Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation
title_fullStr Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation
title_full_unstemmed Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation
title_short Comparative Analysis of Three Solid Waste Management Systems Towards Full Automation
title_sort comparative analysis of three solid waste management systems towards full automation
url https://e-journal.usd.ac.id/safe/index.php/IJASST/article/view/9153
work_keys_str_mv AT aboladedavidomiyale comparativeanalysisofthreesolidwastemanagementsystemstowardsfullautomation
AT ladifogunwolu comparativeanalysisofthreesolidwastemanagementsystemstowardsfullautomation
AT olawaleolaniyiajibola comparativeanalysisofthreesolidwastemanagementsystemstowardsfullautomation