How to identify opportunities for improvement in the use of reverse logistics in clothing industries? A case study in a Brazilian cluster

Pinheiro, Eliane; Francisco, Antônio Carlos de; Piekarski, Cassiano Moro; Souza, Jovani Taveira de

doi:10.1016/j.jclepro.2018.11.024

Cited by 34 publications

(21 citation statements)

References 32 publications

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“…Increased consumption of fashion products creates a large amount of post-consuming waste to the planet, which is a worldwide concern. However, reverse FSCM activities can provide opportunities to alleviate this situation ( Pinheiro et al, 2019 ). Reverse FSCM activities may include reuse, remanufacturing, recycling and so on ( Kannan et al, 2012 , Bukhari et al, 2018 , Paras et al, 2018 ).…”

Section: Identify Sustainable Practices In the Fscm Literaturementioning

confidence: 99%

A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management

Cai

Choi

2020

Transportation Research Part E: Logistics and Transportation Re

182

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Section: Identify Sustainable Practices In the Fscm Literaturementioning

confidence: 99%

A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management

Cai

Choi

2020

Transportation Research Part E: Logistics and Transportation Re

182

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“…Insights on other practices might be enlightened by investigations on existing research and practices in the wood panel industry (see Reference [40][41][42]) or seeking circular economy practices on other fields (see for example Reference [52,53]) that could help build and enrich the body of circular economy in the wood panel industry.…”

Section: (4) Reuse and Recovery Of End-of-life Panels As Inputs For Nmentioning

confidence: 99%

Circular Economy Practices on Wood Panels: A Bibliographic Analysis

et al. 2019

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The scarcity of natural resources and the generation of waste without adequate disposal are a worldwide concern related to the linear production model.These characteristics are present in the wood panel production. Faced with this problem, the present study aimed to identify in the literature, circular economy (CE) practices in the waste management of wood panel production processes and the possibilities for implementing new practices that incorporate circularity concepts. A systematic search was conducted to select the most relevant work on the theme. A search was done using the ScienceDirect, Web of Science, and Scopus databases by combining the following keywords: “Circular Economy” (and its possible variations), “Wood-based Panel”, and “Wood Waste”. The results evidenced circular economy practices on waste management already being used by the wood panel industry, besides potential practices to increase circularity. The changes go towards sustainable manufacturing and responsible consumption, which aims to “ensure sustainable consumption and production patterns”. Opportunities range from the extraction of raw materials to the disposal of wood panel waste at the end-of-life. The circular economy model is still recent and the process of transitioning is in its initial phase, as well as scientific research on the theme, mainly regarding the wood panel industry. Studies addressing the circular economy and wood panels are not yet widespread, pointing to a gap yet to be explored. The bibliographic review allowed identifying the existence of potential applications of circular economy in the wood panel industry; yet, this piece of research points to a broad field of exploration.

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“…Bibri and Krogstie [2] argue that 70% of the world's natural resources are used in urban cities, resulting in environmental destruction, degradation of ecosystems, and problems with energy resources, among others. Restrictions on the availability of resources are one of the major challenges for urban development, as cities are designed to reduce costs, reduce unemployment, focus on climate change, and supply potable water, among other things [3,4]. Therefore, it is necessary to use smart approaches to aid citizens in addressing all these aspects [5] and smart cities are one of the solutions to solve these problems [6].…”

Section: Introductionmentioning

confidence: 99%

Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018

et al. 2019

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Smart cities (SC) promote economic development, improve the welfare of their citizens, and help in the ability of people to use technologies to build sustainable services. However, computational methods are necessary to assist in the process of creating smart cities because they are fundamental to the decision-making process, assist in policy making, and offer improved services to citizens. As such, the aim of this research is to present a systematic review regarding data mining (DM) and machine learning (ML) approaches adopted in the promotion of smart cities. The Methodi Ordinatio was used to find relevant articles and the VOSviewer software was performed for a network analysis. Thirty-nine significant articles were identified for analysis from the Web of Science and Scopus databases, in which we analyzed the DM and ML techniques used, as well as the areas that are most engaged in promoting smart cities. Predictive analytics was the most common technique and the studies focused primarily on the areas of smart mobility and smart environment. This study seeks to encourage approaches that can be used by governmental agencies and companies to develop smart cities, being essential to assist in the Sustainable Development Goals.

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How to identify opportunities for improvement in the use of reverse logistics in clothing industries? A case study in a Brazilian cluster

Cited by 34 publications

References 32 publications

A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management

A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management

Circular Economy Practices on Wood Panels: A Bibliographic Analysis

Data Mining and Machine Learning to Promote Smart Cities: A Systematic Review from 2000 to 2018

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