Modelling of the location of vehicle recycling facilities: A case study in Poland

Gołębiewski, Bronisław; Trajer, Jędrzej; Jaros, M.; Winiczenko, Radosław

doi:10.1016/j.resconrec.2013.07.005

Cited by 50 publications

(21 citation statements)

References 24 publications

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“…Optimizing for the location of end‐of‐life vehicles’ recycling facilities in one Poland case included transportation cost, storage cost, and dismantling cost, because cost was the largest factor (Gołębiewski et al. ). In short, environmental factors are important for waste treatment facilities whereas economic and social aspects are more important for recycling plants.…”

Section: Methods and Datamentioning

confidence: 99%

Location Optimization of Urban Mining Facilities with Maximal Covering Model in GIS: A Case of China

Xue

Wen

et al. 2016

J of Industrial Ecology

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Urban mining offers an efficient supply of resources because of rich mines and low environmental impacts. Location selection and optimization for urban mining facilities is more complicated than for natural mines, given that it may vary according to the urban population, consumption habits, and economic development. China initiated the National Urban Mining Pilot Bases program in 2010 that targeted 50 national urban mining pilot bases, but unfortunately neglected the location planning issue. Twenty-eight bases have already been selected, which are concentrated in the central and eastern areas of China. This article combines the use of analytic hierarchy process, maximal covering location model, and geographical information systems (GIS) software to optimize locations for China's urban mining pilot bases. Primary findings show that, theoretically, 40 urban mining pilot bases can sufficiently provide maximum gross domestic product (GDP) and population coverage service for China. Taking the current 28 bases as a precondition and 50 bases as the remaining policy target, our second optimization results in a list of 22 cities for the location selection of future urban mining pilot bases. In total, the optimized 22 cities, together with the selected 28 bases, can provide a maximum 97.5% of GDP and 95.1% of population coverage in China. This study illustrates the optimization process for urban mining recycling facilities in general and provides policy advice for China in a specific case.

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Section: Methods and Datamentioning

confidence: 99%

Location Optimization of Urban Mining Facilities with Maximal Covering Model in GIS: A Case of China

Xue

Wen

et al. 2016

J of Industrial Ecology

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“…Farel et al [202] used a MILP modeling technique to determine the optimal topology and material flow in future ELV glazing recycling network. Gołebiewski et al [203] proposed a simulation approach that could be used to determine optimum locations for ELV dismantlers. Mahmoudzadeh et al [204] used a MILP formulation to solve a location-allocation problem of ELVs scrap yards in Iran.…”

Section: Network Designmentioning

confidence: 99%

End-of-life vehicle management: a comprehensive review

Karagöz

Aydın

Šimić

2019

J Mater Cycles Waste Manag

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Waste management is gaining very high importance in recent years. As automotive is one of the most critical sectors worldwide, which is rapidly increasing, the management of end-of-life vehicles (ELVs) gains importance day by day. Due to legislation and new regulations, actors like users, producers, and treatment facilities are being conferred new responsibilities in the ELV management process. Besides, the ELV management is of vital importance for environment conservation, circular economy and sustainable development. All of these reasons are making the ELV management such a crucial issue to study. Today, the ELV management is a well-positioned and emergent research area. However, the available review papers are focused only on a small area of the ELV management, such as reverse logistics, recovery infrastructure, disassemblability, etc. Besides, a review of state-of-the-art mathematical models for the ELV management is still missing. This paper aims to provide an extensive content analysis overview of studies on the ELV management. A total of 232 studies published in the period 2000-2019 are collected, categorized, reviewed and analyzed. A critical review of the published literature is provided. Gaps in the literature are identified to clarify and suggest future research directions. This review can provide a source of references, valuable insights, and opportunities for researchers interested in the ELV management and inspire their additional attention.Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…Networks designed as closed loop chains in the cluster are modeled according to mixed integer nonlinear programming. Studies aiming at cost minimization include studies of vehicle rotations ( [17]) for reverse logistics (RL) networks and attempts to develop an optimal model that will determine the location of elements in the network, and the use of genetic algorithms ( [29]) in the solution due to the high complexity of the model. Table 5:Average values of the variables for each cluster according to the 1x3 topology The most important feature is that separates the studies in Cluster 3 from other studies which are the use of fuzzy methods ( [36]; [32]) in eliminating ambiguities.…”

Section: Evaluation Of the Clustered Studiesmentioning

confidence: 99%

A Literature Survey on Reverse Logistics of End of Life Vehicles

Cin

Kuşakçı

2017

scjournal

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Today, recycling of used products and materials has become an increasingly important sector. Mankind, who uses the natural resources unconsciously, has found ways to improve recycling techniques when they realized that resources are becoming increasingly depleted. In the automotive sector, which is one of the largest sectors in the world, natural resources are being used to a great extent. According to the statistics, in 2009, approximately 9 million end-of-life vehicles (in Europe were withdrawn from traffic. Undoubtedly, this figure shows the necessity and importance of designing reverse logistics network optimized for ELVs. This research aims to determine the gaps in the literature by examining the studies made from the past to the present day in the field of reverse logistic network design for vehicles completed their life cycle. In this article, the studies in the fieldare analyzed based on objective functions, decision variables, constr handling metod, optimization methods used. Considered work are clustered using a special artificial neural network tool Organizing Maps (SOM), and the frequencies of the characteristics are shown in the study. This study, which includes a review of the literature and a clustering of studies, aims to guidethe researchers wo design of rreverse logistics networks for ELVs.

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Modelling of the location of vehicle recycling facilities: A case study in Poland

Cited by 50 publications

References 24 publications

Location Optimization of Urban Mining Facilities with Maximal Covering Model in GIS: A Case of China

Location Optimization of Urban Mining Facilities with Maximal Covering Model in GIS: A Case of China

End-of-life vehicle management: a comprehensive review

A Literature Survey on Reverse Logistics of End of Life Vehicles

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