A Bi-objective stochastic programming model for the household waste collection and transportation problem: case of the city of Sousse

Jammeli, Haifa; Argoubi, Majdi; Masri, Hatem

doi:10.1007/s12351-019-00538-5

Cited by 17 publications

(16 citation statements)

References 31 publications

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“… Jammeli et al. (2019) considered two constraints that set their work apart from other waste collection applications.…”

Section: Clustering In Waste Managementmentioning

confidence: 99%

“…(3) The collection capacity of the garbage center meets the need for garbage bins (4) The amount of garbage and garbage centers must be positive Jammeli et al, (2019) (1) The amount of bins per region is calculated according to the number of residents in the region;…”

Section: Author (Citation)mentioning

confidence: 99%

“…Finally, concerning the constraints, 12 of the papers presented the restrictions of their studies and of those, where five were more specific concerning the limits of their methodology (Kim et al, 2006;Ombuki--Berman et al, 2007;Perea et al, 2016;Chun-Lin et al, 2019;Jammeli et al, 2019), and the constraints in Kim et al (2006) andOmbuki-Berman et al (2007) were very similar. The use of different constraints could be broader in this field when adapting the solution to the real-world problem better.…”

Section: Author (Citation)mentioning

confidence: 99%

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A review of clustering techniques for waste management

Assef

Steiner

Lima

2022

Heliyon

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A variety of problems related to waste management systems can be found in the literature, as they have become tougher to solve over the years. With this in mind, a report of the most influential research concerns in this field could help develop innovative works for solving waste management applications. Literature reviews appear in most introductions and discussion sections of research reports, case reports, and expert opinion papers. It was immediately observed that Cluster Analysis, a multivariate data mining technique, has been used in various applications for sustainability issues. For this reason, this paper shows the results of a Systematic Literature Review on Cluster Analysis techniques applied to waste management. This paper's primary goal is to detect what is happening with the applications and techniques in clustering techniques for waste management and, in this way, define possible gaps in this research field. The 61 analyzed papers were categorized into nine application types within the field of waste management (logistics/business; landfill research; theoretical/consequential; waste collection problems; location/selection; monitoring/decision support systems; leachate/water contamination; waste incineration/energy production and, waste forecast/waste production behavior). Following an analysis of their content, gaps were found related to exploring the complex situations in each problem. Instead of using general rules and constraints for their methodologies to solve real-world problems, they resorted to theoretical orientation solutions. Furthermore, suggestions from specialists in the field and more fitting constraints related to the data evaluated could make the works seem less theoretical and more visually applicable.

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“… Jammeli et al. (2019) considered two constraints that set their work apart from other waste collection applications.…”

Section: Clustering In Waste Managementmentioning

confidence: 99%

Section: Author (Citation)mentioning

confidence: 99%

Section: Author (Citation)mentioning

confidence: 99%

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A review of clustering techniques for waste management

Assef

Steiner

Lima

2022

Heliyon

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“…Aringhieri et al [19] address the waste collection problem as a pickup and delivery VRP, where full container load with waste is picked up and replaced by empty containers. Jammeli et al [20] propose a model to determine the vehicle routes and the number of waste bins to be assigned to each potential location and conduct a biobjective optimisation of minimising the collection costs and the environmental impact. A heuristic algorithm is designed where bins are clustered first, and routes are then decided.…”

Section: Literature Reviewmentioning

confidence: 99%

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

Lyu

et al. 2021

Mathematical Problems in Engineering

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This paper investigates a vehicle routing problem arising in the waste collection of the healthcare system with the concern of transportation risk. Three types of facilities abstracted from the health system are investigated in this paper, namely, facilities with collection points, facilities without collection points, and small facilities. Two-echelon collection mode is applied in which the waste generated by small facilities is first collected by collection points, and then transferred to the recycling centre. To solve this problem, we propose a mixed-integer linear programming model considering time windows and vehicle capacity, and we use particle swarm optimisation (PSO) algorithm for solving large-scale problems. Numerical experiments show the capability of the proposed algorithm. Sensitivity analysis is conducted to investigate the influence of facilities with collection points and the collection routes. This research can provide a decision support tool for the routing of waste collection in the healthcare system.

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“…However, the number of works considering integrated approaches is more scarce. Among the works that consider an integrated approach, [14] presented a study case of the Tunisian city of Sousse, considering uncertainty in waste generation at GAPs. They proposed a transformed formulation to handle stochastic waste generation and solved the problem in a heuristic fashion: first they applied the k-means clustering algorithm to group the GAPs into sectors and later they applied an exact model solved with CPLEX to determine both the number of bins and the collection route of each sector.…”

Section: Stating the Master Problemmentioning

confidence: 99%

A Benders Decomposition Approach for an Integrated Bin Allocation and Vehicle Routing Problem in Municipal Waste Management

Mahéo

Rossit

Kilby

2021

Production Research

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Diagramación interior y tapa: Fabián LuziNo se permite la reproducción parcial o total, el alquiler, la transmisión o la transformación de este libro, en cualquier forma o por cualquier medio, sea electrónico o mecánico, mediante fotocopias, digitalización u otros métodos, sin el permiso previo y escrito del editor. Su infracción está penada por las Leyes 11723 y 25446. Queda hecho el depósito que establece la Ley 11723.

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A Bi-objective stochastic programming model for the household waste collection and transportation problem: case of the city of Sousse

Cited by 17 publications

References 31 publications

A review of clustering techniques for waste management

A review of clustering techniques for waste management

Transportation Risk Control of Waste Disposal in the Healthcare System with Two-Echelon Waste Collection Network

A Benders Decomposition Approach for an Integrated Bin Allocation and Vehicle Routing Problem in Municipal Waste Management

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