Abstract
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.
Highlights
People from all over the world are increasingly being integrated into the information society and the digital economy, and benefiting from the opportunities arising from it
This paper proposes a theoretical model to assess the implementation of the reverse logistics of e-waste, based on a multicriteria decision aid (MCDA)
It was possible to identify the evolution of annual scientific production on this topic; the most cited papers; most productive countries; most productive universities, the collaboration between researchers around the world related to this topic; the most relevant sources of publications; the analysis of co-occurrence and co-citation network/the authors coupling; the main criteria or variables considered in the decision-making process of reverse logistics of e-waste, main methods or models used by the structure of these criteria/variables; and the main technical procedure to collect and organize the data
Summary
People from all over the world are increasingly being integrated into the information society and the digital economy, and benefiting from the opportunities arising from it Examples of this include the delivery of new applications and services at very high speed in a wide range of areas from health and education to entertainment and commerce [1]. The generation of residues from electro-electronic equipment (commonly referred to in the scientific literature as waste electrical electronic equipment (WEEE, or e-waste) has exponentially increased worldwide [3,4,5]. This specific type of waste corresponds to 5% of all urban waste produced
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