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

Budget 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 coll...

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Main Authors: Hannan M.A., Begum R.A., Al-Shetwi A.Q., Ker P.J., Al Mamun M.A., Hussain A., Basri H., Mahlia T.M.I.
Other Authors: 7103014445
Format: Article
Published: Elsevier Ltd 2023
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spelling my.uniten.dspace-251832023-05-29T16:07:11Z Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals Hannan M.A. Begum R.A. Al-Shetwi A.Q. Ker P.J. Al Mamun M.A. Hussain A. Basri H. Mahlia T.M.I. 7103014445 14007780000 57004922700 37461740800 57222629920 57208481391 57192888245 56997615100 Budget 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 management Developing 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 Ltd Final 2023-05-29T08:07:11Z 2023-05-29T08:07:11Z 2020 Article 10.1016/j.scs.2020.102393 2-s2.0-85088401028 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088401028&doi=10.1016%2fj.scs.2020.102393&partnerID=40&md5=55b34709a74108da3f31e19e8a5295a2 https://irepository.uniten.edu.my/handle/123456789/25183 62 102393 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Budget 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 management
author2 7103014445
author_facet 7103014445
Hannan M.A.
Begum R.A.
Al-Shetwi A.Q.
Ker P.J.
Al Mamun M.A.
Hussain A.
Basri H.
Mahlia T.M.I.
format Article
author Hannan M.A.
Begum R.A.
Al-Shetwi A.Q.
Ker P.J.
Al Mamun M.A.
Hussain A.
Basri H.
Mahlia T.M.I.
spellingShingle Hannan M.A.
Begum R.A.
Al-Shetwi A.Q.
Ker P.J.
Al Mamun M.A.
Hussain A.
Basri H.
Mahlia T.M.I.
Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
author_sort Hannan M.A.
title Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
title_short Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
title_full Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
title_fullStr Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
title_full_unstemmed Waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
title_sort waste collection route optimisation model for linking cost saving and emission reduction to achieve sustainable development goals
publisher Elsevier Ltd
publishDate 2023
_version_ 1806428363962712064
score 13.222552

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