Publication:
Backtracking search algorithm in CVRP models for efficient solid waste collection and route optimization

dc.citedby97
dc.contributor.authorAkhtar M.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorBegum R.A.en_US
dc.contributor.authorBasri H.en_US
dc.contributor.authorScavino E.en_US
dc.contributor.authorid56781056700en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid14007780000en_US
dc.contributor.authorid57192888245en_US
dc.contributor.authorid23467686400en_US
dc.date.accessioned2023-05-29T06:39:09Z
dc.date.available2023-05-29T06:39:09Z
dc.date.issued2017
dc.descriptionBins; Budget control; Carbon dioxide; Cost reduction; Costs; Crashworthiness; Efficiency; Environmental impact; Fuels; Learning algorithms; Optimization; Solid wastes; Vehicle routing; Backtracking search algorithms; Capacitated vehicle routing problem; Environmental emissions; Optimization modeling; Route optimization; Solid waste collection; Threshold waste level; Waste collection; Waste management; fuel; carbon dioxide; solid waste; algorithm; fuel consumption; modeling; optimization; solid waste; threshold; waste management; algorithm; Article; backtracking search algorithm; capacitated vehicle routing problem model; carbon footprint; controlled study; environmental impact assessment; feasibility study; limit of quantitation; measurement precision; process model; process optimization; solid waste collection; solid waste management; motor vehicle; procedures; solid waste; theoretical model; waste disposal; Algorithms; Carbon Dioxide; Models, Theoretical; Motor Vehicles; Refuse Disposal; Solid Wasteen_US
dc.description.abstractWaste collection is an important part of waste management that involves different issues, including environmental, economic, and social, among others. Waste collection optimization can reduce the waste collection budget and environmental emissions by reducing the collection route distance. This paper presents a modified Backtracking Search Algorithm (BSA) in capacitated vehicle routing problem (CVRP) models with the smart bin concept to find the best optimized waste collection route solutions. The objective function minimizes the sum of the waste collection route distances. The study introduces the concept of the threshold waste level (TWL) of waste bins to reduce the number of bins to be emptied by finding an optimal range, thus minimizing the distance. A scheduling model is also introduced to compare the feasibility of the proposed model with that of the conventional collection system in terms of travel distance, collected waste, fuel consumption, fuel cost, efficiency and CO2 emission. The optimal TWL was found to be between 70% and 75% of the fill level of waste collection nodes and had the maximum tightness value for different problem cases. The obtained results for four days show a 36.80% distance reduction for 91.40% of the total waste collection, which eventually increases the average waste collection efficiency by 36.78% and reduces the fuel consumption, fuel cost and CO2 emission by 50%, 47.77% and 44.68%, respectively. Thus, the proposed optimization model can be considered a viable tool for optimizing waste collection routes to reduce economic costs and environmental impacts. � 2017 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.wasman.2017.01.022
dc.identifier.epage128
dc.identifier.scopus2-s2.0-85010931692
dc.identifier.spage117
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85010931692&doi=10.1016%2fj.wasman.2017.01.022&partnerID=40&md5=a2d6cc33a9ec57a095b9bfdc3817e181
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23290
dc.identifier.volume61
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleWaste Management
dc.titleBacktracking search algorithm in CVRP models for efficient solid waste collection and route optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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