ABSTRACT
The quantity of municipal waste (MSW) increases every year, which is caused by several factors, one of which is population growth. Currently, the municipal waste collection system is conducted by visiting several existing transfer stations (TS's). However, the number of existing TS's is not enough because it is not evenly distributed, which results in a large amount of waste being dumped along roads, rivers, and untreated land. we proposed an additional 200 TS's from 541 potential coordinate points with the p - median problem. Not only proposed additional TS's, we also propose to open 3 new landfills based on TS's cluster centroid. The plan we propose for the addition of this new landfill is because the government plans to move waste from Cipayung landfill to Lulut Nambo landfill which is not part of Depok city. The results of determining the waste collection route from the existing and additional TS's to the Cipayung landfill, that the current number of vehicles is as many as 112 units can collect the amount of waste disposed of in the Cipayung landfill in 2019 with a total travel distance 4.201.760 meters. The results of routing waste disposal to the new TPA based on the TS centroid cluster can reduce total travel distance up to 49%
Supplemental Material
Available for Download
- Amponsah, S.K., Salhi, S., 2004. The investigation of a class of capacitated arc routing problems: the collection of garbage in developing countries. Waste Manage. 24 (7), 711–721Google ScholarCross Ref
- Chalkias C and Lasaridi K (2011) Benefits from GIS based modelling for municipal solid waste management. In: Kumar S (ed.) Integrated Waste Management, Volume I. Shanghai, ChinaGoogle ScholarCross Ref
- Cui L, Chen L, Li Y, Huang G, Li W and Xie Y., 2011. An interval-based regret-analysis method for identifying long-term municipal solid waste management policy under uncertainty. Journal of Environmental Management 92: 1484-1494Google ScholarCross Ref
- Eghtesadifard Mahmood, Payam Afkhami, and Arash Bazyar., 2020. An integrated approach to the selection of municipal solid waste landfills through GIS, K-Means and multi-criteria decision analysis. Environment Research 185 (2020) 109348. https://doi.org/10.1016/j.envres.2020.109348.Google ScholarCross Ref
- Enri Damanhuri, Widhi Handoko, Tri Padmi. 2014. Municipal Solid Waste Management in Indonesia. Municipal Solid Waste Management in Asia and the Pacific Islands. 2014. DOI: 10.1007/978-981-4451-73-4_8Google Scholar
- Ercument Aksoy and Bekir Taner San., 2019. Geographical information systems and Multi-Criteria Decision Analysis integration for sustainable landfill site selection considering dynamic data source. Bulletin of Engineering Geology and the Environment 78 (2019), 779 – 791. DOI 10.1007/s10064-017-1135-zGoogle ScholarCross Ref
- Erfan Babaee Tirkolaee a, Iraj Mahdavi a, Mir Mehdi Seyyed Esfahani., 2018. A robust periodic capacitated arc routing problem for urban waste collection considering drivers and crew's working time. Waste management. 78 (2018). 138 – 146Google Scholar
- Fatimah Zahra and Tri Padmi Damanhuri. 2011. Study of composition, characteristic and recycling potential of waste at Cipayung final disposal site, Depok. Jurnal Teknik Lingkungan Volume 17 Nomor 1, April 2011 (Hal 59-69)Google Scholar
- Khan D and Samadder SR., 2016. Allocation of solid waste collection bins and route optimisation using geographical information system: A case study of Dhanbad City, India. Waste Management & Research 34: 666–676Google ScholarCross Ref
- Le Hoang Son., 2014. Optimizing Municipal Solid Waste collection using Chaotic Particle Swarm Optimization in GIS based environments: A case study at Danang city, Vietnam. Expert Systems with Applications 41 (2016). 8062 – 8074Google ScholarCross Ref
- M.K. Ghose, A.K. Dikshit, S.K. Sharma., 2006. A GIS based transportation model for solid waste disposal – A case study on Asansol municipality. Journal waste management 26 (2006), 1287–1293Google ScholarCross Ref
- Seyed Mohammad Hassan Erfani, Shahnaz Danesh, Seyed Mohsen Karrabi and Rouzbeh Shad. 2017. A novel approach to find and optimize bin locations and collection routes using a geographic information system. Waste management and & research 1 – 10. DOI 10.1177/0734242X17706753Google Scholar
- Swapan Das, Bidyut Kr. Bhattacharyya. 2015. Optimization of municipal solid waste collection and transportation routes. Journal waste management 43 (2015), 9 -18Google ScholarCross Ref
- Tumpa Hazra and Sudha Goel. 2009. Solid waste management in Kolkata, India: Practices and challenges. Journal waste management 29 (2009), 470 – 478Google ScholarCross Ref
- Vinay Yadava, Subhankar Karmakarb, A.K. Dikshit, Shivkumar Vanjari. 2016.A Facility Location Model for MSW Management Systems under Uncertainty: A Case Study of Nashik City, India. Procedia Environmental Sciences 35 (2016). 90 -100Google ScholarCross Ref
- Weijian Xue, Kai Cao and Wenwen Li. 2015. Municipal solid waste collection optimization in Singapore. Applied Geography Volume 62, August 2015, Pages 182-190. https://doi.org/10.1016/j.apgeog.2015.04.002Google Scholar
- Zamorano M, Molero E, Grindlay A, (2009) A planning scenario for the application of geographical information systems in municipal waste collection: A case of Churriana de la Vega (Granada, Spain). Resources, Conservation and Recycling 54: 123–133.Google ScholarCross Ref
Recommendations
Metaheuristics for the waste collection vehicle routing problem with time windows, driver rest period and multiple disposal facilities
In this problem there is a set of waste disposal facilities, a set of customers at which waste is collected and an unlimited number of homogeneous vehicles based at a single depot. Empty vehicles leave the depot and collect waste from customers, ...
Optimization Location of Waste Transfer Stations in Environmental Monitoring
ETCS '11: Proceedings of the 2011 Third International Workshop on Education Technology and Computer Science - Volume 02Waste transfer stations play an important role in waste disposal. This paper proposed a novel model for optimiza- tion location of waste transfer stations in environmental monitoring. With the considering of requirements, total sys-tem cost and the ...
A Genetic Algorithm-based optimization model for supporting green transportation operations
To propose a GA-based optimization model for designing green transportation schemes.To examine the economic and environmental value based on a cost analysis in depth.To provide a guidance of implementing green transportation for the logistics service ...
Comments