scholarly journals Optimal routing for waste collection: a case study in Singapore

2015 ◽  
Vol 30 (3) ◽  
pp. 554-572 ◽  
Author(s):  
Weijian Xue ◽  
Kai Cao
Keyword(s):  
Optimal Routing ◽  
Waste Collection

Optimal routing of household waste collection using ArcGIS application: a case study of El Bousten district, Sfax city, Tunisia

2021 ◽  
Vol 14 (11) ◽  
Author(s):  
Rim Sallem ◽  
Mohamed Moncef Serbaji ◽  
Abdullah M. Alamri ◽  
Amjad Kallel ◽  
Ismail Trabelsi
Keyword(s):  
Household Waste ◽  
Optimal Routing ◽  
Waste Collection

scholarly journals Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

2021 ◽  
Vol 13 (6) ◽  
pp. 3553
Author(s):  
Philippe Nimmegeers ◽  
Alexej Parchomenko ◽  
Paul De Meulenaere ◽  
Dagmar R. D’hooge ◽  
Paul H. M. Van Steenberge ◽  
...  
Keyword(s):  
Circular Economy ◽  
Real Life ◽  
Plastic Waste ◽  
Entropy Analysis ◽  
Waste Collection ◽  
Statistical Entropy ◽  
Waste Streams ◽  
Material Component ◽  
Future Work

Multilevel statistical entropy analysis (SEA) is a method that has been recently proposed to evaluate circular economy strategies on the material, component and product levels to identify critical stages of resource and functionality losses. However, the comparison of technological alternatives may be difficult, and equal entropies do not necessarily correspond with equal recyclability. A coupling with energy consumption aspects is strongly recommended but largely lacking. The aim of this paper is to improve the multilevel SEA method to reliably assess the recyclability of plastics. Therefore, the multilevel SEA method is first applied to a conceptual case study of a fictitious bag filled with plastics, and the possibilities and limitations of the method are highlighted. Subsequently, it is proposed to extend the method with the computation of the relative decomposition energies of components and products. Finally, two recyclability metrics are proposed. A plastic waste collection bag filled with plastic bottles is used as a case study to illustrate the potential of the developed extended multilevel SEA method. The proposed extension allows us to estimate the recyclability of plastics. In future work, this method will be refined and other potential extensions will be studied together with applications to real-life plastic products and plastic waste streams.

Identification of asset life cycle stage: case study in heavy-duty truck fleet

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oscar Daniel Rivera Baena ◽  
Maria Valentina Clavijo Mesa ◽  
Carmen Elena Patino Rodriguez ◽  
Fernando Jesus Guevara Carazas
Keyword(s):  
Life Cycle ◽  
Design Methodology ◽  
Life Cycle Stage ◽  
Waste Collection ◽  
Content Type ◽  
Heavy Duty Truck ◽  
Maintenance Work ◽  
Operational Decision Making ◽  
The Moment

PurposeThis paper aims to determine the stage of the life cycle where the trucks of a waste collection fleet from a Colombian city are located through a reliability approach. The reliability analysis and the evaluation of curve of operational costs allow to know the moment in which it is necessary to make decisions regarding an asset, its maintenance or possible replacement.Design/methodology/approachFor a dataset presented as maintenance work orders, the time to failures (TTFs) for each vehicle in the fleet were calculated. Then, a probability density function for those TTFs was fitted to locate each vehicle in a region of the bathtub curve and to calculate the reliability of the whole fleet. A general functional analysis was also developed to understand the function of the vehicles.FindingsIt was possible to determine that the largest proportion of the fleet was in the final stage of the life cycle, in this sense, the entire fleet represent critical assets which in most of cases could be worth replacement or overhaul.Originality/valueIn this study, an address is exposed for the identification of critical equipment by reliability and statistical analysis. This analysis is also integrated with the maintenance management process. This is a broadly interested topic since it allows to support the maintenance and operational decision-making process, indicating the focus of resource allocation all over the entire asset life cycle.

A case study of packaging waste collection systems in Portugal – Part I: Performance and operation analysis

2017 ◽  
Vol 61 ◽  
pp. 96-107 ◽  
Author(s):  
Graça Martinho ◽  
Ana Gomes ◽  
Pedro Santos ◽  
Mário Ramos ◽  
João Cardoso ◽  
...  
Keyword(s):  
Waste Collection ◽  
Operation Analysis ◽  
Packaging Waste

scholarly journals Heuristics for Waste Collection Arc Routing Problem

MENDEL ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 15-22
Author(s):  
Vlastimír Nevrlý ◽  
Radovan Šomplák ◽  
Pavel Popela
Keyword(s):  
Arc Routing ◽  
Waste Collection ◽  
Traffic Light ◽  
Exact Methods ◽  
Routing Problem ◽  
Real Practice ◽  
The Mathematical Model ◽  
Route Scheduling ◽  
Municipal Level

Waste management is still an expanding eld which needs to be constantly enhanced so that waste transportation and treatment is as eective as possible. An important part of this process is a waste collection at the municipal level. Decision-making about daily routing for all vehicles from a heterogenous eet substantially in uences the expenses of technical services. The need of route scheduling comes also from the newly separated fractions. Transportation features include the capacity of vehicles, number and type of containers on the route, traffic light delays and many others. The mathematical model that properly describes the real practice of servicing containers has not been published yet. Moreover, routing problemsare generally not solvable by exact methods, so the appropriate heuristic algorithm has been developed. A case study with obtained results is discussed. This solution serves not only to improve the current operational situation, but also to create new route schedules for increasing number of collected commodities. 

scholarly journals Optimization of Household Waste Collection Routes Using GIS: Case Study El Bousten district, commune of Sfax, Tunisia

2017 ◽  
Vol 12 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Rim Sallem ◽  
Mohamed Rouis
Keyword(s):  
Information System ◽  
Geographical Information System ◽  
Optimization Procedure ◽  
Geographical Information ◽  
Household Waste ◽  
Environmental Costs ◽  
Waste Collection ◽  
Collection System ◽  
Network Analyst

This paper presents a method for optimizing the household waste collection system supported by Geographical Information System (GIS) tool for the sector 1of district El Bousten of Sfax commune, Tunisia. The ArcGIS Network Analyst based model is applied for the purpose of improving the collection process effectiveness, namely, the household collection bins’ reallocation along with the vehicles’ tour optimization procedure in terms of distance and time. Results indicated a reduction of 25, 83% in route and 21, 5 % in the time spent of collection along with fuel consumption savings. These findings show that GIS based model tends to exhibit significant improvements as to the collection and transportation system, therefore, to its economical and environmental costs.

Optimization of a Recyclable Waste Collection System - The Valorsul Case Study

2015 ◽  
pp. 97-105 ◽  
Author(s):  
Diogo Lopes ◽  
Tânia Rodrigues Pereira Ramos ◽  
Ana Paula Barbosa-Póvoa
Keyword(s):  
Waste Collection ◽  
Collection System
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