Locating recycling facilities for IT-based electronic waste in Turkey

Aras, Necatı; Korugan, Aybek; Büyüközkan, Gülçin; Şerifoğlu, Funda Sivrikaya; Erol, İsmail; Velioğlu, Meltem Nurtanış

doi:10.1016/j.jclepro.2015.02.046

Cited by 30 publications

(13 citation statements)

References 55 publications

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“…Fuzzy Analytic Hierarchy Process (AHP) Modeling [51] No one identified No one identified Documental analysis [52] Knowledge No one identified Documental analysis [53] No one identified No one identified Survey [54] Channel conflict, investment, Closed-loop chains unlikely, control over designs/materials, Decouples design, contracting and oversight, Processes fast and flexible, Allows for recovery of valuable modules, Higher recovery rates, Long-term contracts, Higher variable costs, Closed-loop supply chains, levels of material recovery and learning, access to scarce materials No one identified Documental analysis [55] Total cost, number of disposed items, material sales revenue, and customers' satisfaction level ARTODTO model, linear physical programming model Modeling [56] The types, numbers and locations of storage sites, The types, numbers and locations of recycling facilities, The quantity of product categories to be allocated to storage sites, The quantity of product categories to be allocated to recycling facilities, The network flow of product categories through storage sites, recycling facilities and secondary market, The total cost of the reverse logistics system. Management, financial, policy and infrastructure Factor Analysis Documental analysis [68] Profit Game Theory Modeling [46] Quality; cost No one identified Survey and interviews [69] Internal barriers and external barriers No one identified Interviews [70] Investment; installing capacity; collection network; quantity of discarded products. MILP Modeling [71] Components of the TPB, socio-demographic and socio-economic variables, the degree of awareness towards the problem, and the personal assessment of the environmental situation of Brazil as predictors of e-waste recycling Table 9.…”

Section: Authors Criteria/variable Considered Methods/models Technicamentioning

confidence: 99%

How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition

2020

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As e-waste exponentially increases on a global scale, some legislation and plans to implement reverse logistics have arisen in some countries. While reverse logistics is already well consolidated in developed countries, it is still in a state of infancy in developing countries. In this article, we propose a theoretical model to assess reverse logistics, based on a multicriteria decision aid perspective. This was done while considering a context in which the implementation of the reverse logistics of e-waste is at the beginning. To show the main characteristics of the literature and obtain the model’s inputs, we conducted a systematic literature review to help us understand the main criteria and methods used for this purpose. Then, we illustrated the use of the proposed model with a numerical example. This paper contributes to the current body of research, and aims to assist practitioners within the field of reverse logistics by systematizing the knowledge related to this issue, and offering a model that can guide the decision-making. This model differentiates from others already published because it uses the probabilistic composition of preferences (PCP) method, which does not require the assignment of weights. The model can also be used while considering the preferences of several decision-makers, therefore covering several points of view and providing a more holistic view of the decision problem.

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Section: Authors Criteria/variable Considered Methods/models Technicamentioning

confidence: 99%

How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition

2020

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“…Çalışma üç aşamadan oluşmaktadır: 1) Anketin geliştirilmesi ve uygulanması, 2) AEEE tahmini, 3) TN'lerin belirlenmesi. [12]. [10] ve [11] no.lu kaynaklarda AEEE'ler Robinson [13]'un deterministik modeli ile elde edilmiştir.…”

Section: Introductionunclassified

WEEE Estimation and Determination of Collection Points: A Case for the Municipality of Çankaya

Keçeci¹,

Dengi̇z²,

Dengız³

et al. 2018

Pamukkale J Eng Sci

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Elektrikli ve elektronik cihazlar (e-eşya), kullanım ömürleri tamamlandığında elektrikli ve elektronik atığa (AEEE) dönüşmektedir. AEEE'ler atıldıklarında, yakıldıklarında veya geri dönüşüm için parçalandıklarında tehlikeli maddeler içeren ürünlere dönüşerek çevreye ve insan sağlığına zarar vermektedir. AEEE'lerin zararlarını en aza indirmek ve geri dönüşümlerinden ekonomik fayda sağlamak amacıyla belediyeler tarafından uygun şekilde toplanması, taşınması ve işlenmesi gerekmektedir. Bu çalışmada, Çankaya İlçesi Çevre Koruma ve Kontrol Müdürlüğü işbirliği ile Çankaya Belediyesi için AEEE yönetimine destek olacak bir çalışma gerçekleştirilmiştir. Çalışma kapsamında ilk olarak Çankaya ilçesi için AEEE miktarları televizyon, buzdolabı, çamaşır makinesi, fırın ve elektrikli süpürge için kullanıcı davranışları dikkate alınarak tahmin edilmiştir. Daha sonra AEEE toplama noktalarının belirlenmesi için yer seçimi problemi bir küme örtme problemi olarak ele alınmış ve çözülmüştür.Electrical-electronic waste (WEEE) is generated from electric and electronic devices at the end of their lifecycles. When WEEEs are disposed, burned or disassembled for recycling, they are transformed into products containing hazardous substances and harm the environment and human health. Therefore WEEEs should be collected, transported and processed properly during their recycling operations by municipality authority in order to minimize their damage and maximize their economic benefit. In this paper, a study is carried out for the WEEE management of Çankaya Municipality by the cooperation of Environmental Conservation and Control Department of Çankaya. For this purpose first WEEE with a focus on television, refrigerator, washing machine, oven and vacuum cleaner are estimated based on the electronic device usage behavior of residents in Çankaya. Secondly, the WEEE collection points' location problem is solved considering set covering problem.

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“…GA Sadjadi et al [230] 2014 (lin) exact / heur. LINGO / MA Sheriff et al [171] 2014 exact LINGO Soleimani and Govindan [213] 2014 exact CPLEX Toso and Alem [165] 2014 exact GAMS + CPLEX Vahdani and Naderi-Beni [98] 2014 not specified Zeballos et al [143] 2014 exact GAMS + CPLEX Accorsi et al [85] 2015 exact AMPL + Gurobi Aras et al [118] 2015 exact GAMS + CPLEX Asefi et al [130] 2015 exact GAMS + CPLEX Ayvaz et al [199] 2015 exact + heur. CPLEX + SAA Bing et al [255] 2015 exact XPRESS Chen et al [170] 2015 exact / heur.…”

mentioning

confidence: 99%

“…[145] 2016[209] 2016[103] 2016[249] 2016[216] 2016[82] 2017[215] 2017[75] 2017[192] 2017[68] 2017[217] 2017[220] 2017[76] 2017 interval[100] 2011 robust[218] 2006[203] 2011[168] 2012[97] 2012[164] 2013[183] 2013[231] 2014[221] 2014[118] 2015[87] 2015[232] 2015[211] 2016[204] 2016[222] 2016[150] 2017[299] 2017[300] 2017 other / combinations[295] 2012[223] 2012[236] 2013[135] 2013[205] 2013[238] 2014[165] 2014[98] 2014[66] 2015[206] 2015[92] 2015[224] 2015[144] 2015[125] 2016[193] 2016[154] 2016[...…”

unclassified

Literature review: Strategic network optimization models in waste reverse supply chains

Engeland

Beliën

Boeck

et al. 2020

Omega

114

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Locating recycling facilities for IT-based electronic waste in Turkey

Cited by 30 publications

References 55 publications

How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition

How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition

WEEE Estimation and Determination of Collection Points: A Case for the Municipality of Çankaya

Literature review: Strategic network optimization models in waste reverse supply chains

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