Optimal Regional Scheduling of Solid Waste Systems. II: Model Solutions

Modak, Abhijit R.; Everett, John W.

doi:10.1061/(asce)0733-9372(1996)122:9(793)

Cited by 14 publications

(8 citation statements)

References 3 publications

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“…Optimizing the haul, transfer and final disposal of MSW through mathematical programming has been a typical optimization problem since the 1970s, when emphasis was given to determining the optimum collection routes (Truitt et al, 1969) as well as to determining facility locations and capacities (Esmaili, 1972;Kirka and Erkip, 1988;Or and Curi, 1993). In addition, optimizing a MSW management system that includes waste processing, such as incineration and recycling, in addition to simple collection-haul-transfer-disposal, has also been tackled extensively in the literature (Gottinger, 1986;Anex et al, 1996;Everett and Modak, 1996;Modak and Everett, 1996;Badran and El-Haggar, 2006). Optimization models on solid waste management have been based on linear programming, mixed integer and linear programming, mixed integer and non-linear programming and multi-objective programming (Chang and Wei, 1999).…”

Section: Introductionmentioning

confidence: 99%

“…doi:10.1016/j.wasman.2007.11.004 the potential marketing of recyclable materials are often included in the overall cost. A classic generic MSW management optimization model had been presented by Modak and Everett (1996) and Everett and Modak (1996), where overall cost was the minimizable parameter. Fabbricino (2001) and Badran and El-Haggar (2006) have also minimized overall cost in their studies, whilst Minor and Jacobs (1994) have used mathematical optimization to site solid waste landfills.…”

Section: Introductionmentioning

confidence: 99%

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Conceptual modeling to optimize the haul and transfer of municipal solid waste

Komilis

2008

Waste Management

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Conceptual modeling to optimize the haul and transfer of municipal solid waste

Komilis

2008

Waste Management

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“…Costs are divided into three categories: transportation costs, facility and running costs, and revenues 6,7 .…”

Section: Model Equationsmentioning

confidence: 99%

An Optimal Model and Its Application for the Management of Municipal Solid Waste from Regional Small Cities in China

Nie

Yan

et al. 2004

Journal of the Air & Waste Management Association

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Based on the basic characteristics of municipal solid waste (MSW) from regional small cities in China, some optimal management principles have been put forward: regional optimization, long-term optimization, and integrated treatment/disposal optimization. According to these principles, an optimal MSW management model for regional small cities is developed and provides a useful method to manage MSW from regional small cities. A case study application of the optimal model is described and shows that the optimal management scenarios in the controlling region can be gained, adequately validating and accounting for the advantages of the optimal model.

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“…However, waste stream of rejects from a processing facility to conversion or disposal facility is ignored, because it has no significant effect. Typical haul costs are in the range from 0.07 to 0.21 US$ km -1 ton -1 for collection vehicles, while transporting waste by transfer trailers reduces costs to 0.03 to 0.10 US$ km -1 ton -1 [2]. Population of Turkey is 67,844,903 according to Census 2000 [3].…”

Section: Introductionmentioning

confidence: 99%

Route optimization for solid waste collection: Trabzon (Turkey) case study

Apaydin

Gönüllü²

2013

Issue 1

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In a municipal solid waste management system, decreasing collection/hauling costs, which consist of 85 % of total disposal expenditure, can be carried out by a route optimization. Thus, a huge amount of economical benefits is getting furnished. If route optimization is performed in solid waste collection/hauling process, due to reductions in "empty miles" negativity, total expenditures will be decreased. Trabzon City located in the northeast side of Turkey has about 185 thousand inhabitants according to Census 2000. The city shares just about 1% of the Gross Domestic Income in Turkey. In other words, that means that Trabzon City livings have moderate revenue. The objectives of this study are to optimize for the route of collection/hauling in Trabzon City by taking consideration of data about road net, demographics and solid waste production. In order to analyse the solid waste collection/hauling process in the city, the processes were recorded by a Sony DCR-TRV145E brand video camera. To use route optimization process, data related in present spending, truck type and capacity, solid waste production, number of inhabitants and Global Positioning System (GPS) receiver data for each route were collected and all the data were analyzed with each other. For 39 districts in the city, a shortest path model was used in order to optimize solid waste collection/hauling processes, as minimum cost was aimed. The Route View Pro TM software as an optimization tool was used for that purpose. Geographic Information System (GIS) elements such as numerical pathways, demographic distribution, container distribution and solid waste production amount were integrated to the software. To give an idea, thematic container layer has 777 container location points for the entire city. After performing routes by the software, the optimized routes were compared with the present routes. Success by the optimization process was around 4-59 % for distance and 14-65 % for time. Consequently, a route optimization process on the street stationary container collection system will contribute a benefit by 24 % in total cost.

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Optimal Regional Scheduling of Solid Waste Systems. II: Model Solutions

Cited by 14 publications

References 3 publications

Conceptual modeling to optimize the haul and transfer of municipal solid waste

Conceptual modeling to optimize the haul and transfer of municipal solid waste

An Optimal Model and Its Application for the Management of Municipal Solid Waste from Regional Small Cities in China

Route optimization for solid waste collection: Trabzon (Turkey) case study

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