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...
Saved in:
| Main Authors: | , , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846113642273046528 |
|---|---|
| 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. |
| format | Article |
| id | doaj-art-4f5fc15336f84819b68d7017b35f0f4c |
| institution | Kabale University |
| issn | 2655-8564 2685-9432 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universitas Sanata Dharma |
| record_format | Article |
| series | International Journal of Applied Sciences and Smart Technologies |
| 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 |