Forecasting scrap tires returns in closed-loop supply chains in Brazil

Pereira, Marina Meireles; Machado, Ricardo Luiz; Pires, Sílvio Roberto Ignácio; Dantas, Maria José Pereira; Zaluski, Patrícia Regina da Silva; Frazzon, Enzo Morosini

doi:10.1016/j.jclepro.2018.04.026

Cited by 21 publications

(7 citation statements)

References 27 publications

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“…The results also suggest that green capabilities facilitate product returns and thus CLSC adoption. For example, effective forecasting can help reduce variation in the volume of product returns, a driver of CLSC adoption (Pereira et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…However, these efforts can be adversely impacted by uncertainties in the timing, volume, and quality of returns, and where in the supply chain the return occurs (Krapp et al, 2013). These uncertainties present operational challenges to CLSC adoption (Pereira, 2018), making it imperative for manufacturers to consider them and to formulate corresponding strategies and actions (Zeballos et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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The mediating effects of product returns on the relationship between green capabilities and closed-loop supply chain adoption

Shaharudin

Tan

Kannan

et al. 2019

Journal of Cleaner Production

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This research explores the mediating effects of product returns on the relationship between a firm's green capabilities and its adoption of closed-loop supply chain. Green capability is characterized in terms of product recovery, supply chain integration, and environmentally friendly manufacturing. A structural equation model using survey data drawn from ISO 14001 certified manufacturers in Malaysia is used to test the research hypotheses. The results reveal that recovery and integration capabilities positively influence product returns, while manufacturing and integration capabilities and product returns influence closed loop supply chain adoption. The results also indicate that the volume, type, timing, and quality of product returns partially mediate relationships between recovery and integration capabilities and closed-loop supply chain adoption. The findings highlight the importance of taking into account the complexities of product returns as part of efforts to increase the effects of green capabilities on closed-loop supply chain adoption.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The mediating effects of product returns on the relationship between green capabilities and closed-loop supply chain adoption

Shaharudin

Tan

Kannan

et al. 2019

Journal of Cleaner Production

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“…According to Sienkiewicz et al (2012), 17 million tons of end-of-life tires (ELTs) are generated worldwide every year. When solid waste is collected by urban cleaning, ELTs are mixed in and hidden from the reverse logistics (RL) process, which makes it difficult to count and to correct the destination (Pereira et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…The first comprises the unaccounted (NC) flows which are collected by public agencies related to urban cleaning but are not accounted for in such a way that their amount (mass) is considered in the mass balance for a given period (Kawai and Tasaki, 2016). The NC ELTs may be located in remote urban areas or even in the sanitary landfill itself (Pereira et al, 2018; Zarei et al, 2018). The second category of unknown flows comprises tires that are not forwarded (NF) by RL to other applications.…”

Section: Introductionmentioning

confidence: 99%

Forecasting of the unknown end-of-life tire flow for control and decision making in urban solid waste management: A case study

et al. 2019

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Efficient urban planning requires managers’ experience and knowledge of reverse logistics in solid urban waste processes. Forecasting tools are needed to control, select and manage municipal solid waste. This paper presents the application of dynamic modeling approaches, namely, a linear autoregressive seasonal model, a model based on a FeedForward Artificial Neural Network and a Recurrent Neural Networks model, in order to forecast the unknown flows of end-of-life tires 12 months ahead. The models were identified using a database comprising four years of historical series related to the unknown flows of end-of-life tires. These were obtained through an exploratory analysis based on the annual sales reports of new tires issued by the Brazilian Institute of Geography and Statistics and reports related to the number of vehicles in circulation issued by Brazil’s National Traffic Department. The results show that the models are able to carry out consistent forecasts over the horizon of a year ahead and the predictions are capable of identifying seasonalities and supporting decision making in urban waste management.

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“…the optimization of flows in closed-loop supply chains [54][55][56][57]; − managing secondary raw materials with the use of the transfer function [58][59][60]; − managing reverse logistics with the use of metaheuristic algorithms [61]; − investigation the dynamics of a closed-loop systems with autoregressive demand and return processes [62].…”

mentioning

confidence: 99%

Sustainable Waste Logistics and the Development of Trade in Recyclable Raw Materials in Poland and Hungary

Mesjasz-Lech

Michelberger

2019

Sustainability

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This article aims to propose a methodological framework to determine the degree of the dynamic impact of the effect of activities in the field of sustainable waste logistics on the development of trade in recyclable raw materials in the chosen countries of the European Union, especially in Poland and Hungary. In order to determine the dynamic interdependence between the indicated phenomena, econometric tools associated with the vector autoregression model were used, namely: Granger causality tests, impulse response function and variance decomposition of forecast errors. The tools used will not only identify the direction of the causal interdependence between the effects of sustainable logistics activities and the development of trade in recyclable raw materials, but also allow to determine the strength of the interaction between these variables. The conducted research shows that changes in the environmental effects of waste logistics activities are the Granger cause of changes occurring in the trade of renewable raw materials, especially in Hungary. Considering adequately delayed values of the synthetic development measure of the environmental effects of waste logistics increases the accuracy of predictions for changes in the trade of recyclable raw materials.

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Forecasting scrap tires returns in closed-loop supply chains in Brazil

Cited by 21 publications

References 27 publications

The mediating effects of product returns on the relationship between green capabilities and closed-loop supply chain adoption

The mediating effects of product returns on the relationship between green capabilities and closed-loop supply chain adoption

Forecasting of the unknown end-of-life tire flow for control and decision making in urban solid waste management: A case study

Sustainable Waste Logistics and the Development of Trade in Recyclable Raw Materials in Poland and Hungary

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