Scheduling in cloud manufacturing systems: Recent systematic literature review

Cloud Manufacturing (CMFg) is a novel production paradigm that benefits from Cloud Computing in order to develop manufacturing systems linked by the cloud. These systems, based on virtual platforms, allow direct linkage between customers and suppliers of manufacturing services, regardless of geographical distance. In this way, CMfg can expand both markets for producers, and suppliers for customers. However, these linkages imply a new challenge for production planning and decision-making process, especially in Scheduling. In this paper, a systematic literature review of articles addressing scheduling in Cloud Manufacturing environments is carried out. The review takes as its starting point a seminal study published in 2019, in which all problem features are described in detail. We pay special attention to the optimization methods and problem-solving strategies that have been suggested in CMfg scheduling. From the review carried out, we can assert that CMfg is a topic of growing interest within the scientific community. We also conclude that the methods based on bio-inspired metaheuristics are by far the most widely used (they represent more than 50% of the articles found). On the other hand, we suggest some lines for future research to further consolidate this field. In particular, we want to highlight the multi-objective approach, since due to the nature of the problem and the production paradigm, the optimization objectives involved are generally in conflict. In addition, decentralized approaches such as those based on game theory are promising lines for future research.Fil: Halty, Agustín. Universidad de la República; UruguayFil: Sánchez, Rodrigo. Universidad de la República; UruguayFil: Vázquez, Valentín. Universidad de la República; UruguayFil: Viana, Víctor. Universidad de la República; UruguayFil: Piñeyro, Pedro. Universidad de la República; UruguayFil: Rossit, Daniel Alejandro. Universidad Nacional del Sur. Departamento de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentin

Cloud Manufacturing: state of the art and evaluation of the BaSyx project

The emergence of new technologies such as the Internet of Things (IoT) and Cloud Computing hasstrongly boosted the manufacturing industry, opening the doors to a much broader world ofpossibilities and starting what many consider to be the Fourth Industrial Revolution. In this context iswhere the manufacturing paradigm of Cloud Manufacturing (CMfg) emerges, with the goal to connectmanufacturing processes through the Cloud in such a way that it allows different organizations tocooperate and to offer services to customers that could not be possible by their own independently. Asystematic review of the literature was carried out in order to determine the main characteristics andfunctionalities that a CMfg system should provide as well as the main current lines of research in thisregard. Then, we developed a prototype CMfg system based on the open source middleware EclipseBaSyx, a software development kit for CMfg systems. The developed prototype consists of a webinterface module that allows different users to create new machines and to insert job orders from thecustomers, and a server logic module that is responsible for accepting jobs, dividing them intosubtasks and distributing them among the different machines that work independently from eachother. The web module is composed by three main sub-modules: 1) a scheduler to control anddistribute the orders among the different machines of the system; 2) a verifier, which is in charge ofmonitoring the state of the machines in the real time, collecting a large amount of information fromthem and notifying the scheduler in case of failures or when they need special attention; and 3) aBaSyx module that is in charge of the creation of the Digital Twins. Finally, several numericalexperiments were carried out to show the potential of BaSyx for leveraging different productionplanning and operations management problems that may arise under Cloud Manufacturingenvironments.Fil: Videla Helal, Matías Emiliano. Universidad de la República; UruguayFil: Chiappa Curbelo, Carlos S.. Universidad de la República; UruguayFil: Piñeyro, Pedro. Universidad de la República; UruguayFil: Viana, Víctor. Universidad de la República; UruguayFil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; ArgentinaXXI Latin Ibero-American Conference on Operations Research -CLAIO 2022Buenos AiresArgentinaUniversidad de Buenos Aires. Facultad de Ciencias Exactas y Naturale

Prof. Dr. Jorge Bossi (1934-2020): padre de la geología moderna de Uruguay

A synthesis of the academic and scientific activity developed by Prof. Dr. Jorge Bossi, for more than 60 years dedicated to the study of Uruguayan geology, is presented. This article is a review of his university teaching work and a tribute to his fruitful academic and scientific work on the geology of Uruguay and the region. His contributions have decisively influenced the current understanding of the tectonic evolution, stratigraphy and mineral resources of an important part of South America and southern Africa.Se presenta una síntesis de la actividad académica y científica desarrollada por el Prof. Dr. Jorge Bossi durante más de 60 años dedicados al estudio de la geología de Uruguay. El presente trabajo es una reseña de su labor docente y un homenaje a su fecunda labor académica y científica sobre la geología de Uruguay y la región. Sus aportes han influido de forma decisiva en la actual comprensión de la evolución tectónica, la estratigrafía y los recursos minerales de una parte importante de Sudamérica y África meridional

Implementación de paradigma Cloud Manufacturing en cadena de suministro láctea uruguaya

Durante los últimos años las tecnologías digitales han generado una revolución intensa en los sistemas de producción dando lugar a nuevos paradigmas. Uno de esos paradigmas es el de Cloud Manufacturing en donde se propone la oferta y contratación de servicios de producción a través de las tecnologías Cloud. Este paradigma tiene una serie de potencialidades que permiten brindar un entorno apto para que distintas empresas puedan mejorar su capacidad de captar clientes, así como también de gestionar sus propios recursos y capacidades. En este trabajo se aborda un caso de la industria láctea, particularmente de Uruguay, en donde se evalúa el potencial de una implementación de un sistema de Cloud Manufacturing. Para ello se desarrollaron modelos de programación matemática que planifican la asignación de órdenes y sus respectivas fechas de entrega, considerando las capacidades de las distintas plantas y el suministro de materia prima. Esta evaluación permite mostrar que implementando una arquitectura de Cloud Manufacturing, todas las empresas podrían trabajar de manera más eficiente, aumentando el nivel de entrega de las órdenes pactadas.Fil: Halty, Agustín. Universidad de la República; UruguayFil: Sanchez, Rodrigo. Universidad de la República; UruguayFil: Vázquez, Valentín. Universidad de la República; UruguayFil: Viana, Víctor. Universidad de la República; UruguayFil: Piñeyro, Pedro. Universidad de la República; UruguayFil: Rossit, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería; ArgentinaXI-th International Conference on Production Research Americas 2022CuritibaBrasilUniversidad Tecnológica Federal de Paran

Full-Length Genome Sequences of Senecavirus A from Recent Idiopathic Vesicular Disease Outbreaks in U.S. Swine

Since July 2015, vesicular lesions affecting growing pigs and sows accompanied with neonatal mortality have been reported in multiple U.S. states. Senecavirus A has been consistently detected from these cases. The complete genome sequences of 3 recent U.S. Senecavirus A isolates were determined to further characterize this virus

Novel Senecavirus A in Swine with Vesicular Disease, United States, July 2015

To the Editor: Senecavirus A (SVA; formerly known as Seneca Valley virus [SVV] belongs to the genus Senecavirus, family Picornaviridae (1,2). SVA was first isolated in 2001 as a contaminant of the PER.C6 cell line and designated as SVV-001 (1,3). Since its discovery, SVA has been infrequently detected in swine with idiopathic vesicular disease (IVD) (4–6), which clinically resembles foot-and-mouth disease, swine vesicular disease, vesicular exanthema of swine, and vesicular stomatitis. The virus has also been retrospectively detected in previous cases with various clinical conditions in the United States during 1988–2001 (7). However, the clinical significance of SVA in swine could not be determined (7,8)

Outbreak of swine influenza in Argentina reveals a non-contemporary human H3N2 virus highly transmissible among pigs

Sporadic outbreaks of human H3N2 influenza A virus (IAV) infections in swine populations have been reported in Asia, Europe and North America since 1970. In South America, serological surveys in pigs indicate that IAVs of the H3 and H1 subtypes are currently in circulation; however, neither virus isolation nor characterization has been reported. In November 2008, an outbreak of respiratory disease in pigs consistent with swine influenza virus (SIV) infection was detected in Argentina. The current study describes the clinical epidemiology, pathology, and molecular and biological characteristics of the virus. Phylogenetic analysis revealed that the virus isolate shared nucleotide identities of 96-98% with H3N2 IAVs that circulated in humans from 2000 to 2003. Antigenically, sera from experimentally inoculated animals cross-reacted mainly with noncontemporary human-origin H3N2 influenza viruses. In an experimental infection in a commercial swine breed, the virus was of low virulence but was transmitted efficiently to contact pigs and caused severe disease when an infected animal acquired a secondary bacterial infection. This is the first report of a wholly human H3N2 IAV associated with clinical disease in pigs in South America. These studies highlight the importance of two-way transmission of IAVs and SIVs between pigs and humans, and call for enhanced influenza surveillance in the pig population worldwide.Facultad de Ciencias Veterinaria

Outbreak of swine influenza in Argentina reveals a non-contemporary human H3N2 virus highly transmissible among pigs

Sporadic outbreaks of human H3N2 influenza A virus (IAV) infections in swine populations have been reported in Asia, Europe and North America since 1970. In South America, serological surveys in pigs indicate that IAVs of the H3 and H1 subtypes are currently in circulation; however, neither virus isolation nor characterization has been reported. In November 2008, an outbreak of respiratory disease in pigs consistent with swine influenza virus (SIV) infection was detected in Argentina. The current study describes the clinical epidemiology, pathology, and molecular and biological characteristics of the virus. Phylogenetic analysis revealed that the virus isolate shared nucleotide identities of 96-98% with H3N2 IAVs that circulated in humans from 2000 to 2003. Antigenically, sera from experimentally inoculated animals cross-reacted mainly with noncontemporary human-origin H3N2 influenza viruses. In an experimental infection in a commercial swine breed, the virus was of low virulence but was transmitted efficiently to contact pigs and caused severe disease when an infected animal acquired a secondary bacterial infection. This is the first report of a wholly human H3N2 IAV associated with clinical disease in pigs in South America. These studies highlight the importance of two-way transmission of IAVs and SIVs between pigs and humans, and call for enhanced influenza surveillance in the pig population worldwide.Facultad de Ciencias Veterinaria

Outbreak of swine influenza in Argentina reveals a non-contemporary human H3N2 virus highly transmissible among pigs

Sporadic outbreaks of human H3N2 influenza A virus (IAV) infections in swine populations have been reported in Asia, Europe and North America since 1970. In South America, serological surveys in pigs indicate that IAVs of the H3 and H1 subtypes are currently in circulation; however, neither virus isolation nor characterization has been reported. In November 2008, an outbreak of respiratory disease in pigs consistent with swine influenza virus (SIV) infection was detected in Argentina. The current study describes the clinical epidemiology, pathology, and molecular and biological characteristics of the virus. Phylogenetic analysis revealed that the virus isolate shared nucleotide identities of 96-98% with H3N2 IAVs that circulated in humans from 2000 to 2003. Antigenically, sera from experimentally inoculated animals cross-reacted mainly with noncontemporary human-origin H3N2 influenza viruses. In an experimental infection in a commercial swine breed, the virus was of low virulence but was transmitted efficiently to contact pigs and caused severe disease when an infected animal acquired a secondary bacterial infection. This is the first report of a wholly human H3N2 IAV associated with clinical disease in pigs in South America. These studies highlight the importance of two-way transmission of IAVs and SIVs between pigs and humans, and call for enhanced influenza surveillance in the pig population worldwide.Facultad de Ciencias Veterinaria