Over the last decade, the circular economy (CE) has attracted attention due to the current unsustainable model of production and consumption, which involves an increased resource use and depletion. Agri-food is one of the key sectors where action must be taken to ensure the transition to a more sustainable development model in line with circular economy principles. This study aims to evaluate the potential of implementing the circular economy in the pitahaya agri-food chain in Ecuador. The research was conducted from 2019 to 2021, during which a checklist was applied that included 91 items grouped into nine dimensions: source or supply of materials, design, manufacturing, economic circle, distribution and sales, consumption/use, 4R, remanufacturing, and sustainability. The level of the circular economy evaluated in the study was low (2.14 points out of 5). Therefore, improvements are required in the agri-food management of fruit cultivation and processing. Critical points were identified and strategies were proposed to increase competitiveness, improve environmental performance, and promote the implementation of the circular economy in this production chain. A final recommendation is to explore research on the concept of CE in the sector, mainly focused on the valorization of biomass as a contribution to the bioeconomy in order to contribute to the country’s growth within the context of sustainability.

The circular economy (CE) has been adopted as an alternative to the linear economic model, since it transforms the way products are designed and consumed. Agri-food chains are key to ensuring the transition to a sustainable development model in line with the principles of CE. This study sought to implement the concepts of circular economy at the Ecuador's banana production chain, through the design of prospective from the exhaustive diagnosis of the main processes of the chain. The research was conducted from 2020 to 2022. The studied checklist included 91 items grouped into nine dimensions: source or supply of materials, design, manufacturing, economic circle, distribution and sales, consumption and use, 4R, re-manufacturing, and sustainability. A medium circular economy level (CEL) was evaluated (2.69 points out of 5). Two machine learning techniques (MLTs) were also applied support vector machine (SVM), (with three types of kernel: radial, linear and polynomial) and a neural network (NN). In relation to the Spearman correlation coefficients of the application of the techniques to the study cases, they were higher than 0.90. The most reliable was the SVM Regression-Linear Kernel, which had a coefficient close to 1. Finally, various value-adding options are proposed in order to take advantage of the large amount of waste generated in the banana production system. The proposed options include value-augmentation processes, ranging from organic fertilizers, biofuels, materials for wastewater treatment, and the production of bioplastics and nanoparticles, which can be implemented using the CE approach.

The agri-food supply chain (AFSC) is vital to ensure global food security. It faces significant environmental and economic challenges, requiring the adoption of circular economy (CE) principles to enhance sustainability and resource efficiency. This article presents a bibliometric analysis of 162 Web of Science (WoS) and Scopus documents from 2017 to 2024, focusing on contributions from leading authors and countries regarding CE application in AFSCs. Using bibliometrix R-Tool Version 4.3.2 and VOSviewer 1.6.20, we identified key topics, such as “Transforming Agriculture through Innovation and Sustainability in the Supply Chain” and “Implementation of a Circular Economy Framework in Agricultural Supply Chains”. We also pinpointed outdated and oversaturated research topics while proposing emerging subjects based on multiple analyses of the scientific literature corpus (title, abstract, and keywords). Finally, the combined bibliometric, network, and content analysis provided a comprehensive “big picture” of CE application in the AFSC, guiding future projects and research.

Purpose: In this paper, the authors adopt the theory of the circular economy to study the transitions that take place in three case studies in Mexico and Ecuador. The work is aimed to systematize a circular economy assessment tool that fosters opportunities for improvement in business practices.Design/methodology/approach: The methodology is based on a descriptive quantitative analysis, where a checklist is made with 91 items and nine study variables. This is from the study of the bibliography and business practice. Furthermore, the neural network method is used in a case study to predict the level of circular economy and the importance of each variable according to the sensitivity by the Lek’s profile method.Findings: It is based on a descriptive quantitative analysis, where a checklist with 91 items and nine study variables is made, defined from a bibliographic study and business practice. Furthermore, the neural network method is used in a case study to predict the level of circular economy and the importance of each variable based on sensitivity.Research limitations/implications: The application of the tool requires prior knowledge of the circular economy approach, which is why specialized personnel are needed for its application. This makes research more expensive in time and human resources.Practical implications: The practical and methodological contribution of this work lies in the feasibility of the tool that favors the definition of improvement actions for the implementation contribution to the circular economy in business practices.Social implications: The social contribution is framed in the gradual transition to circular economy approaches in underdeveloped countries.Originality/value: The use of the neural network method to predict the level of circular economy in a case study allows making decisions in a predictive way. This encourages the development of the circular economy according to the context needs.

The strategic members of collaborative supply chain have been looking for actions to synchronize their links. The purpose is to improve the customer service and fulfill the challenges of the globalized competitiveness. This trend is known as integrated supply chain and improves the companies performance as a whole. In this paper, an integration model of collaborative supply chain was developed considering the strategical, tactical and operational perspectives. To implement it, a measurement instrument was designed and validated statistically. Also a mathematical model using fuzzy logic was designed and applied among 36 small, medium and large Mexican companies to determine their integration level and propose specific actions that allow them to improve it.