Optimization on Refuse Collection Systems

Chiplunkar, Anand; Khanna, P.; Mehndiratta, S. L.

doi:10.1061/jeegav.0001236

Cited by 13 publications

(2 citation statements)

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“…Various types of vehicles are used for collecting SW and the type of vehicle depends on the width of the road and the type of collection bin (Chiplunkar et al, 1981). In Kitwe City, the collection of SW is performed without much regard given to the type of truck and the width of the roads.…”

Section: Status On Msw Segregation and Collectionmentioning

confidence: 99%

Municipal solid waste management in Kitwe City

Mwanza

Mbohwa

Telukdarie

2018

MEQ

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Purpose The purpose of this paper is to review the present municipal solid wastes (MSWs) management system, from an engineering management (EM) perspective, for the City of Kitwe while proposing a levers-driven sustainable municipal solid waste management (MSWM) model focussing on improving waste management (WM). Design/methodology/approach The research work involves four stages. First, a comprehensive review of literature is conducted on MSWM. Second, structured interviews are conducted with key experts in solid waste management in the City of Kitwe in order to enhance the knowledge inputs. Third, direct observations and an interview with a WM driver are conducted in order to understand; the collection, disposal and treatment options for MSWs. Lastly, a sustainable model for managing MSWs is proposed Findings The research findings indicate that the existing MSW system for the city is highly unsustainable and lacks EM methodologies. There are still a number of challenges in the management of MSWs which include: lack of proper collection and storage of MSWs; lack of an engineered landfill; lack of waste recovery and treatment systems; and lack of public education aimed at reducing and separating MSWs. Practical implications A correct and detailed database for waste generation, collection, treatment and disposal is needed for the City of Kitwe. The system is necessary for WM resources allocation as well as for planning sustainable WM projects. The proposed model has been developed based on the actual observations, data collection and analysis. Originality/value The research identifies a gap in the management of MSWs for the City of Kitwe. This work is original as no similar MSW model has been proposed globally and specific for a developing economy such as Africa.

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Section: Status On Msw Segregation and Collectionmentioning

confidence: 99%

Municipal solid waste management in Kitwe City

Mwanza

Mbohwa

Telukdarie

2018

MEQ

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“…There is a large body of literature on the optimal routing of solid waste collection vehicles. Most of this work is directed towards minimizing the total travel distance within the collection route, usually on the assumption that the shortest travel distance will result in the least amount of time on the route and the lowest overall cost (Beltrami & Bodin 1974, Liebman & Male 1975, Male & Liebman 1978, Chiplunkar et al 1981. Nguyen & Wilson (2007) used GPS data from City of Hamilton waste collection vehicles to demonstrate that using the shortest route does not necessarily save a considerable amount of time since drivers travel at higher speeds when travelling along a street where they have already collected the waste.…”

Section: The Use Of Optimal Routesmentioning

confidence: 99%

Fuel consumption estimation for kerbside municipal solid waste (MSW) collection activities

Nguyễn

Wilson

2009

Waste Manag Res

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Fuel consumption during seven different daily activities of a garbage co-collection truck and a normal packer truck was estimated from the trucks' global positioning system (GPS) data and fuel consumption records. The co-collection and the normal garbage packer consumed approximately 1.8 L and 1.26 L of diesel per km, respectively, while travelling within the collection areas. Using these fuel rates and the GPS data, the results show that both types of trucks consumed more than 60% of daily total fuel while actually collecting waste on the route. The average daily fuel consumption was 2-4 times higher on rural routes compared to urban areas. Fuel consumption varied significantly depending on the housing density along the collection route. In addition, approximately 5-6 times as much fuel was required to collect a kilogram of waste on a rural route compared to an urban route. Potential methods of reducing fuel consumption were examined. Consistent use of optimal collection routes could potentially save an average of 7.5 L of fuel per truck per day. Reducing the loading time per stop was also studied, but the results suggest that this method does not have significant potential to reduce fuel consumption.

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Systems Analysis for the Future of Solid Waste Management: Challenges and Perspectives

2015

Sustainable Solid Waste Management

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Optimization on Refuse Collection Systems

Cited by 13 publications

References 0 publications

Municipal solid waste management in Kitwe City

Municipal solid waste management in Kitwe City

Fuel consumption estimation for kerbside municipal solid waste (MSW) collection activities

Systems Analysis for the Future of Solid Waste Management: Challenges and Perspectives

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