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Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals

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dc.citedby46
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorBegum R.A.en_US
dc.contributor.authorAl-Shetwi A.Q.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorAl Mamun M.A.en_US
dc.contributor.authorHussain A.en_US
dc.contributor.authorBasri H.en_US
dc.contributor.authorMahlia T.M.I.en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid14007780000en_US
dc.contributor.authorid57004922700en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid57222629920en_US
dc.contributor.authorid57208481391en_US
dc.contributor.authorid57192888245en_US
dc.contributor.authorid56997615100en_US
dc.date.accessioned2023-05-29T08:07:11Z
dc.date.available2023-05-29T08:07:11Z
dc.date.issued2020
dc.descriptionBudget control; Cost effectiveness; Cost reduction; Efficiency; Emission control; Integer programming; Planning; Solid wastes; Sustainable development; Carbon emission reductions; Collection efficiency; Mixed integer linear programming model; Optimisation models; Route optimisation; Solid waste collection; Transportation system; Waste management systems; Waste managementen_US
dc.description.abstractDeveloping an efficient, cost-effective and environmentally friendly solution for solid waste collection (SWC) and transportation system remains a major challenge for municipalities. Waste collection encompasses the largest part of the total budget in current waste management systems. SWC is a crosscutting issue that can be directly or indirectly linked to 10 of the 17 United Nations� sustainable development goals (SDGs). This study aims to develop an SWC route optimisation model to improve collection efficiency, save collection costs and reduce emissions by considering fixed routing optimisation (FRO) with static data and variable routing optimisation (VRO) with real-time data. To realise the optimisation, a mixed-integer linear programming model utilising FRO and VRO was developed. Results show that VRO improved the collection efficiency by 26.08 % when the minimum filled-up level for collection was 70 %. Moreover, VRO achieved 44.44 % cost savings and 17.60 % carbon emission reduction at 70 % filled level. The proposed system achieved the targeted goals and demonstrated the feasibility of an optimisation model for the waste management sector to build a sustainable smart city. The findings of this study can be used to strengthen efforts towards the achievement of the SDGs related to solid waste collection and management. � 2020 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo102393
dc.identifier.doi10.1016/j.scs.2020.102393
dc.identifier.scopus2-s2.0-85088401028
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85088401028&doi=10.1016%2fj.scs.2020.102393&partnerID=40&md5=55b34709a74108da3f31e19e8a5295a2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25183
dc.identifier.volume62
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleSustainable Cities and Society
dc.titleWaste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goalsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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