Optimization of solid waste management in a metropolitan city

Saxena, Sumit; Rajendran, Chandrasekharan; Sanjeevi, V; Shahabudeen, P.

doi:10.1016/j.matpr.2021.03.219

Cited by 14 publications

(4 citation statements)

References 16 publications

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“…4. . 𝑋 𝑖𝑗𝐾 (4) Where the first term, 𝑑 𝑖𝑗 is used to calculate the total distance travelled concerning the decision variable 𝑋 𝑖𝑗𝑘 . Here, 𝑑 𝑖𝑗 is a symmetrical matrix (𝑛 × 𝑛), as shown in Eq.…”

Section: Formulation Of the Dcvrp Modelmentioning

confidence: 99%

“…Recent studies show that most local governments in developing nations still struggle with managing MSW [1], [2]. MSW involves several activities, including production, storage, disposal, treatment, recycling, collecting, and transportation to a transfer station before being dumped (landfill site) [3], [4]. Compared to other operations, the Solid Waste Collection (SWC) expense and transportation stage consume over 70% of the budget [5].…”

Section: Introductionmentioning

confidence: 99%

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A comparative study utilizing hybridized ant colony optimization algorithms for solving dynamic capacity of vehicle routing problems in waste collection system

Sahib,

Mohd-Mokhtar,

Mohd-Kassim

2024

Teknomekanik

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The waste collection stage generated 70% of the cost of the total Municipal Solid Waste (MSW) management system. Therefore, choosing the most affordable waste collection method is essential to accurately estimate the waste collection and transportation costs, thus selecting the required vehicle capacity. The study aims to design a waste collection system for calculating waste collection and transportation costs using a systematic framework that includes Hybridized Ant Colony Optimization (HACO) with Sequential Variable Neighborhood Search Change Step (SVNSCS) and Sequential Variable Neighborhood Decent (SVND). The framework addresses a Dynamic Capacity of Vehicle Routing Problem (DCVRP) and improves ACO's ability in exploration and exploitation stages. The objectives are to minimize the cost of travel distance and arrival time formulated in a mathematical model and to design a new strategy for eliminating the sub-tour problem in the following steps: (1) minimize the number of routes assigned, (2) increase the amount of waste in the vehicle capacity, and (3) define the best amount of waste allowed in vehicle capacity. The waste collection system compared HACO with ACO across four benchmark datasets. The results indicate HACO outperformance ACO at 100%, 91%, 100%, and 87%, respectively. The visualization results demonstrated that HACO has fast convergence and can be considered another essential tool for route optimization in the waste collection system.

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Section: Formulation Of the Dcvrp Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comparative study utilizing hybridized ant colony optimization algorithms for solving dynamic capacity of vehicle routing problems in waste collection system

Sahib,

Mohd-Mokhtar,

Mohd-Kassim

2024

Teknomekanik

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show abstract

“…Currently, the atmospheric CO2 level has reached approximately 410 ppm, contributing to global warming (Pellegrini, Aghakhani et al 2022). The rapid growth of urbanization and population, combined with environmental concerns, has created a critical situation in waste management (Saxena, Rajendran et al 2021). To address issues related to solid waste, every step of waste management needs to be carried out efficiently.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Solid Waste Collection and route using POA algorithm

Son,

Van

2023

Preprint

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The study explores the intricacies of Municipal Solid Waste (MSW) collection in the urban context where its high per capita waste generation and susceptibility to the adverse impacts of climate change, particularly in developing countries. This research focuses on a specialized vehicle routing model to optimize the solid waste transportation system within the city. To enhance the model's efficiency, a novel combined method is proposed, integrating the Pelican Optimization Algorithm (POA). Experimental evaluations, conducted using real data, unequivocally demonstrate that the proposed combined method outperforms alternative approaches, including the current manual MSW collection protocol in the city. This research makes a significant contribution to the waste management and urban sustainability field, with the ultimate goal of mitigating the social, economic, and environmental consequences associated with urban waste collection.

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“…Solid waste management is crucial in reducing and eliminating the adverse effect of waste materials on human health and the environment. According to the world bank statistic, the global solid waste generated was 2.01 billion tons in 2016 and is expected to increase by 3.4 billion annually by 2050 1 , 2 . Effective treatment of these wastes will reduce their hazardous impacts and promotes sustainable development goals.…”

Section: Introductionmentioning

confidence: 99%

Indigenous cellulolytic aerobic and facultative anaerobic bacterial community enhanced the composting of rice straw and chicken manure with biochar addition

Zainudin

Singam

Sazili

et al. 2022

Sci Rep

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Microbial degradation of organic matters is crucial during the composting process. In this study, the enhancement of the composting of rice straw and chicken manure with biochar was evaluated by investigating the indigenous cellulolytic bacterial community structure during the composting process. Compared with control treatment, composting with biochar recorded higher temperature (74 °C), longer thermophilic phase (> 50 °C for 18 days) and reduced carbon (19%) with considerable micro- and macronutrients content. The bacterial community succession showed that composting with biochar was dominated by the cellulolytic Thermobifida and Nocardiopsis genera, which play an important role in lignocellulose degradation. Twenty-three cellulolytic bacterial strains were successfully isolated at different phases of the composting with biochar. The 16S rRNA gene sequencing similarity showed that they were related to Bacilluslicheniformis, Bacillussubtilis,Bacillusaerius, and Bacillushaynesii, which were known as cellulolytic bacteria and generally involved in lignocellulose degradation. Of these isolated bacteria, Bacilluslicheniformis, a facultative anaerobe, was the major bacterial strain isolated and demonstrated higher cellulase activities. The increase in temperature and reduction of carbon during the composting with biochar in this study can thus be attributed to the existence of these cellulolytic bacteria identified.

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Optimization of solid waste management in a metropolitan city

Cited by 14 publications

References 16 publications

A comparative study utilizing hybridized ant colony optimization algorithms for solving dynamic capacity of vehicle routing problems in waste collection system

A comparative study utilizing hybridized ant colony optimization algorithms for solving dynamic capacity of vehicle routing problems in waste collection system

Optimizing Solid Waste Collection and route using POA algorithm

Indigenous cellulolytic aerobic and facultative anaerobic bacterial community enhanced the composting of rice straw and chicken manure with biochar addition

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