Now showing 1 - 8 of 8
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Automating the avocado supply chain with Blockchain and Off-chain

2020 , López-Pimentel, Juan Carlos , Rojas, Omar , Alcaraz Rivera, Miguel , Sosa-Gómez, Guillermo , Verteramo-Chiu, L.

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Decentralization: The Failed Promise of Cryptocurrencies

2019 , Valdivia, Leonardo , Del-Valle-Soto, Carolina , Rodríguez, Jafet , Alcaraz Rivera, Miguel

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Traceability of Mexican Avocado Supply Chain: A Microservice and Blockchain Technological Solution

2022 , López-Pimentel, Juan Carlos , Alcaraz Rivera, Miguel , Rafael Granillo-Macías , Olivares-Benitez, Elias

Currently, the Mexican avocado supply chain has some social limitations that make the traceability process a difficult task and severely limits the regions that can add their harvest to the international market. We hypothesize that modernizing the traceability process and improving the trust of the final user could help in opening the market to other regions. This paper describes the Mexican avocado supply chain characteristics, identifies the actors involved in the supply chain, and emphasizes the problems that the current actors have when exporting them to the US market. On this basis, we propose a technological solution system to automate the traceability process. The system was designed to comply with the authority and consumer requirements. It proposes a combination of the benefits of traditional data traceability using Microservices architecture with a new layer of Blockchain auditing that will add value to current and new actors in every step of the supply chain. We contribute by proposing a model that adds value to the avocado supply chain with the following characteristics: Integrity, auditing service, dual traceability, transparency, and a front-end application with trust user-oriented. Our proofs demonstrate that the blockchain layer does not represent a considered high extra transaction cost; it could be regarded as despicable for the economy of the consumer considering costs and benefits.

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Sustainable Project-Based Learning Methodology Adaptable to Technological Advances for Web Programming

2021 , López-Pimentel, Juan Carlos , Alejandro Medina-Santiago , Del-Valle-Soto, Carolina , Alcaraz Rivera, Miguel

The fast pace of development of the Internet and the Coronavirus Disease (COVID-19) pandemic have considerably impacted the educative sector, encouraging the constant transformation of the teaching/learning strategies and more in technological areas as Educational Software Engineering. Web programming, a fundamental topic in Software Engineering and Cloud-based applications, deals with various critical challenges in education, such as learning continuous emerging technological tools, plagiarism detection, generating innovative learning environments, among others. Continual change and even more change with the current digitization becomes a challenge for teachers and students who cannot depend on traditional educational methods. The article presents a sustainable teaching/learning methodology for web programming courses in Engineering Education using project-based learning adaptable to the continuous web technological advances. The methodology has been developed and improved during 9 years, 15 groups, and 3 different universities. Our results demonstrate that the methodology is adaptable with new technologies that might arise; it also presents the advantages of avoiding plagiarism in students and a personalized induction for every specific student in the learning process.

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On the characterization strategy of a voter transition method and its influence on social choice

2017 , Alcaraz Rivera, Miguel , Del-Valle-Soto, Carolina , Rodríguez, Jafet

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Secure Distributed Network Model to Store Vehicle Transaction Records Through Blockchain Platform

2020 , López-Pimentel, Juan Carlos , Alcaraz Rivera, Miguel

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A Mathematical Model for an Inventory Management and Order Quantity Allocation Problem with Nonlinear Quantity Discounts and Nonlinear Price-Dependent Demand

2023 , Alejo-Reyes, Avelina , Mendoza, Abraham , Erik Cuevas , Alcaraz Rivera, Miguel

This article focuses on solving the order quantity allocation problem for retailers. It considers factors such as quality constraints, nonlinear quantity discounts, and price-dependent demand. By formulating it as a nonlinear maximization problem, the article aims to find the best combination of suppliers and order quantity out of infinite solutions to maximize the retailer’s profit. The main contribution of this research is a new mathematical model that can solve the problem of quality constraint and demand in a single step. This problem is complex due to the number of equations, their nonlinear nature, and the various trade-offs given by the market. Additionally, this research considers demand as output and includes price-dependent demand, which is more realistic for retailers. The proposed model was tested using an example from the recent literature and showed better results than the previously published best solution regarding profit maximization.

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Autonomous generation of extended images of dynamic phase objects in a depth volume sample using a simple focusing criterion and K-means clustering

2017 , Cruz, Maria-Luisa , Alcaraz Rivera, Miguel , Pinhas Girshovitz , Natan T. Shaked , Bahram Javidi , Bernard C. Kress , Wolfgang Osten , H. Paul Urbach