Supporting mobile WEEE collection on demand: A method for multi-criteria vehicle routing, loading and cost optimisation

Nowakowski, Piotr; Król, Aleksander; Mrówczyńska, Bogna

doi:10.1016/j.wasman.2017.07.045

Cited by 36 publications

(20 citation statements)

References 62 publications

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“…The instances are described by the values presented in Table 1. The values were established based on conversations with employees of enterprises and the work by Nowakowski (2017) and Nowakowski et al (2017). The existence of the asymmetrical weights of edges connecting the same points was assumed, and the time of route was made directly dependent on the distance (distance • 60 s).…”

Section: Characteristics Of Test Assignmentsmentioning

confidence: 99%

“…A decision regarding when to dispose of waste equipment from a household depends on many factors and is random. As a result, after receiving applications for equipment collection by the waste-collection company, a collection plan must be prepared, which is the route sequence of the collection vehicles (Moura and Oliveira 2009;Nowakowski et al 2017).…”

Section: Introductionmentioning

confidence: 99%

“…This article is a development of previous research (Król et al 2016;Nowakowski et al 2017Nowakowski et al , 2018 as an attempt to test the application of other algorithms and to assess their efficiency during the execution of transportation tasks in designing vehicle routes for on-demand waste collection from inhabitants within a defined time window. Due to the great popularity of Evolutionary Algorithms (EA), although basic evolutionary techniques were formulated several decades ago, they are still used to solve many optimization problems.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An evolutionary approach to the vehicle route planning in e-waste mobile collection on demand

2021

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The article discusses the utilitarian problem of the mobile collection of waste electrical and electronic equipment. Due to its $$\mathcal {NP}$$ NP -hard nature, implies the application of approximate methods to discover suboptimal solutions in an acceptable time. The paper presents the proposal of a novel method of designing the Evolutionary and Memetic Algorithms, which determine favorable route plans. The recommended methods are determined using quality evaluation indicators for the techniques applied herein, subject to the limits characterizing the given company. The proposed Memetic Algorithm with Tabu Search provides much better results than the metaheuristics described in the available literature.

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Section: Characteristics Of Test Assignmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An evolutionary approach to the vehicle route planning in e-waste mobile collection on demand

2021

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“…Another example could be the use of plastic waste to be incorporated into transportation fuel production [57]. Another motive of concern is the electric and electronic waste [58], as a relevant challenge around the world [59] with a rapid increase in the European Union [60], or vehicles and tires [61], amongst the major sectors of the European economic activities [62], or lithium ion batteries [63,64], or the textile and clothing industry [65], or waste cooking oils [66], or baby diapers [67], or the forestry industry [68], or tablet, computer, and smartphone batteries [69]. A good end of life management mitigates the environmental impacts from the socioeconomic waste and residues [70].…”

Section: Product Life Cyclementioning

confidence: 99%

Circular Economy and Economic Development in the European Union: A Review and Bibliometric Analysis

Martinho

Mourão

2020

Sustainability

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Increased changes in the climate and ecosystems call for a sustainable economic development, where economic growth should be compatible with the environment goals. In order to do this, it is urgent to find new ways of life and new production systems that make our ecological footprint compatible with global sustainability. The concept of the circular economy has brought relevant contributions to this problem. The central objective of the study presented here is to highlight the main insights presented through scientific literature about the concept of the circular economy within the European Union. In practice, the intention is to show what has already been done about this topic and what can/should be implemented in the future. To achieve these objectives, 144 articles were considered from the Web of Science (Core Collection) for the topics “circular economy” and “European Union”. These documents were, firstly, analysed through a proper literature review and later explored through bibliometric analysis, considering bibliographic data and the VOSviewer software. As the main findings have revealed, the increased importance of this concept within the European Union is recognized. However, this paper also identifies several challenges in the literature, namely the concentration of the identified publications in certain countries, organizations, and authors.

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“…Therefore, the main input here is a map of population density covering the considered region. In the rough approach, which involves neglecting the street layout and existing possibilities of inhabitants' mobility, the main criterion of passenger satisfaction is the Euclidean distance to the nearest metro station-e.g., circular shape of the catchment areas was assumed [21]. The present work expresses the number of inhabitants being satisfied with the location of i-th metro station as [22,23]…”

Section: Criteria Of Station Locationsmentioning

confidence: 99%

The Design of a Metro Network Using a Genetic Algorithm

Król

2019

Applied Sciences

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The process of planning the metro system is very complex. This is due to the large amount of required input data originating from many domains. Additionally, the required extraordinary budget makes the design phase difficult and forces some trade-offs to meet most expectations. Designing a metro system requires often a multi-variant analysis to examine possible future ways of urban agglomeration development. In such circumstances there is a need to apply an efficient method, which allows for obtaining a draft design of a metro system. This paper presents an application of a genetic algorithm for two stages of a metro system design. The first stage determines the layout of metro stations, which optimally meets the transportations demands of the inhabitants. The second stage generates the optimal topology of lines connecting the stations, taking into account the minimization of construction costs and the total travel time of all passengers. The parameters, which control the operation of the optimization procedures, were tuned with the use of the Taguchi method.

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Supporting mobile WEEE collection on demand: A method for multi-criteria vehicle routing, loading and cost optimisation

Cited by 36 publications

References 62 publications

An evolutionary approach to the vehicle route planning in e-waste mobile collection on demand

An evolutionary approach to the vehicle route planning in e-waste mobile collection on demand

Circular Economy and Economic Development in the European Union: A Review and Bibliometric Analysis

The Design of a Metro Network Using a Genetic Algorithm

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