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4. Optimal Routing of Solid Waste Collection Trucks: A Review of Methods

Author

Sulemana, Alhassan, Donkor, Emmanuel A., Forkuo, Eric K., and Oduro-Kwarteng, Sampson

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Abstract

This paper reviews the effect of applying optimization methods on the collection process of solid waste, with particular interest in mathematical programming and geographic information system approaches in developing countries. Mathematical programming approaches maximize or minimize an objective function for improvement in procedure, to ensure operational efficiency and also serve as decision support tools. They however provide partial solutions when implemented in reality and cannot fully handle road network constraints. Geographic information system approaches allow processing of additional considerations, often ignored in other methods, such as the street network modeling. Incorporating environmental pollution consideration is very challenging in this approach, the vehicle routing problem solver encountering limits for large data. For enhanced efficiency of the vehicle routing systems, studies should further focus on incorporating all network constraints, environmental pollution considerations, and impact of land use changes on routing.

Published
2018
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5. Route Optimization for Municipal Solid Waste Collection in Sunyani, Ghana.

Author

Sulemana, Alhassan, Donkor, Emmanuel A., Forkuo, Eric K., and Oduro-Kwarteng, Sampson

Abstract

The collection of municipal solid waste is an important functional component of management and constitutes about 60% - 80% of total management cost. Reduction of the collection cost is very essential and can be achieved through route optimization. This study sought to optimize routes for waste collection in a Geographical Information System (GIS) environment. The study applied GIS technology to model the current waste collection routes in Sunyani Municipality and proposed optimized routes using Esri's ArcGIS Network Analyst Extension. Results from the study indicate that weekly distance travelled by collection trucks reduced from 440.43km to 326.50km, translating into savings of 25.87% when trucks utilized the optimized routes. Time spent and fuel consumed in the collection process also reduced from 1704.50min and 456.22L to 1451.70min and 397.35L, making savings of 14.83% and 12.90% respectively. The findings of this study support the hypothesis that optimized routes reduce operating cost of municipal solid waste collection through savings on distance travelled, time spent and fuel consumed. [ABSTRACT FROM AUTHOR]

Published
2018

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