Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives

In recent years, the application of artificial intelligence has been revolutionizing the manufacturing industry, becoming one of the key pillars of what has been called Industry 4.0. In this context, we focus on the job shop scheduling problem (JSP), which aims at productions orders to be carried out, but considering the reduction of energy consumption as a key objective to fulfill. Finding the best combination of machines and jobs to be performed is not a trivial problem and becomes even more involved when several objectives are taken into account. Among them, the improvement of energy savings may conflict with other objectives, such as the minimization of the makespan. In this paper, we provide an in-depth review of the existing literature on multi-objective job shop scheduling optimization with metaheuristics, in which one of the objectives is the minimization of energy consumption. We systematically reviewed and critically analyzed the most relevant features of both problem formulations and algorithms to solve them effectively. The manuscript also informs with empirical results the main findings of our bibliographic critique with a performance comparison among representative multi-objective evolutionary solvers applied to a diversity of synthetic test instances. The ultimate goal of this article is to carry out a critical analysis, finding good practices and opportunities for further improvement that stem from current knowledge in this vibrant research area.Javier Del Ser acknowledges funding support from the Basque Government (consolidated research group MATHMODE, Ref. IT1294-19). Antonio J. Nebro is supported by the Spanish Ministry of Science and Innovation via Grant PID2020-112540RB-C41 (AEI/FEDER, UE) and the Andalusian PAIDI program with Grant P18-RT-2799

Filling in the spaces: compactifying cities towards accessibility and active transport

Compactification of cities, i.e., the opposite of urban sprawl, has been increasingly presented in the literature as a possible solution to reduce the carbon footprint and promote the sustainability of current urban environments. Compact environments have higher concentrations of interaction opportunities, smaller distances to them, and the potential for increased active mode shares, leading to less transport-related energy consumption and associated emissions. This article presents a GIS- based quantitative methodology to estimate on how much can be gained in that respect if vacant spaces within a city were urbanized, according to the municipal master plan, using four indicators: accessibility, active modal share, transport energy consumption, and a 15-minute city analysis. The methodology is applied to a case study, in which the city of Coimbra, Portugal, and a compact version of itself are compared. Results show the compact layout improves all indicators, with averages per inhabitant improving by 20% to 92%, depending on the scenario assumed for cycling, and is more equitable.This research was partially funded by the Portuguese Foundation for Science and Technology (FCT), grant numbers UIDB/00308/2020 and PD/BD/150589/2020.info:eu-repo/semantics/publishedVersio

Vigilancia molecular de Klebsiella pneumoniae, Enterobacter cloacae complex y Escherichia coli productores de carbapene¬masas en España. Informe anual RedLabRA 2022

Incluye PDF y Epub del documentoEn el seno del Plan Nacional frente a la Resistencia a los Antibióticos (PRAN) y en el marco de la vigilancia de las IRAS y las resistencias en la Red Nacional de Vigilancia Epidemiológica (RENAVE), se reconoció la necesidad de implementar una red nacional de laboratorios para la vigilancia de microorganismos resistentes, con capacidad para abordar la caracterización molecular de los patógenos responsables de los principales problemas de resistencia a antimicrobianos. Un grupo de trabajo multidisciplinar del PRAN, formado por más de 50 profesionales, elaboró el documento “Red de laboratorios para la vigilancia de los microorganismos resistentes” (1) que se aprobó por la Comisión de Salud Pública y el Consejo Interterritorial en noviembre de 2018. Las recomendaciones plasmadas en este documento abogan por la integración de la secuenciación genómica en la vigilancia de los patógenos multirresistentes, alineándose con el Marco Estratégico que ha desarrollado el ECDC sobre este tema. El documento recoge como objetivos específicos de la Red: - Obtener un diagnóstico microbiológico completo y de calidad en todos los casos de infección y/o colonización por microorganismos resistentes objeto de vigilancia. - Asegurar que la información microbiológica se incluye en la notificación de casos de acuerdo a los protocolos de la Red Nacional de Vigilancia Epidemiológica. - Estandarizar los procedimientos de detección y caracterización de los mecanismos de resistencia. - Establecer los mecanismos de intercambio de información entre los laboratorios de la red según las prioridades que se establezcan.N

Informe anual RedLabRA 2021

Incluye PDF y Epub del documentoEn el seno del Plan Nacional frente a la Resistencia a los Antibióticos (PRAN) y en el marco de la vigilancia de las IRAS y las resistencias en la Red Nacional de Vigilancia Epidemiológica (RENAVE), se reconoció la necesidad de implementar una red nacional de laboratorios para la vigilancia de microorganismos resistentes, con capacidad para abordar la caracterización molecular de los patógenos responsables de los principales problemas de resistencia a antimicrobianos. Un grupo de trabajo multidisciplinar del PRAN, formado por más de 50 profesionales, elaboró el documento “Red de laboratorios para la vigilancia de los microorganismos resistentes” (1) que se aprobó por la Comisión de Salud Pública y el Consejo Interterritorial en noviembre de 2018. Las recomendaciones plasmadas en este documento abogan por la integración de la secuenciación genómica en la vigilancia de los patógenos multirresistentes, alineándose con el Marco Estratégico que ha desarrollado el European Centre for Disease Prevention and Control (ECDC) sobre este tema.N

Bacuri : (Platonia insignis Mart.-Clusiaceae). Agrobiodiversidade

Bacuri: agrobiodiversidade ç uma publicação que aborda nâo s= a historicidade do fruto como tambçm a retratação do manejo, a propagação (como informaçâes sobre matrizes para o plantio e multiplicação de árvores mais produtivas) e a explanação sobre os métodos atuais utilizados no melhoramento genético do Bacuri, tudo com o explícito objetivo de elaborar, oportunizar e aprimorar técnicas de desenvolvimento sustentável

Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives

In recent years, the application of artificial intelligence has been revolutionizing the manufacturing industry, becoming one of the key pillars of what has been called Industry 4.0. In this context, we focus on the job shop scheduling problem (JSP), which aims at productions orders to be carried out, but considering the reduction of energy consumption as a key objective to fulfill. Finding the best combination of machines and jobs to be performed is not a trivial problem and becomes even more involved when several objectives are taken into account. Among them, the improvement of energy savings may conflict with other objectives, such as the minimization of the makespan. In this paper, we provide an in-depth review of the existing literature on multi-objective job shop scheduling optimization with metaheuristics, in which one of the objectives is the minimization of energy consumption. We systematically reviewed and critically analyzed the most relevant features of both problem formulations and algorithms to solve them effectively. The manuscript also informs with empirical results the main findings of our bibliographic critique with a performance comparison among representative multi-objective evolutionary solvers applied to a diversity of synthetic test instances. The ultimate goal of this article is to carry out a critical analysis, finding good practices and opportunities for further improvement that stem from current knowledge in this vibrant research area

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El futuro de las ciudades: Hacia unas urbes ecologicas y sostenibles

Centro de Informacion y Documentacion Cientifica (CINDOC). C/Joaquin Costa, 22. 28002 Madrid. SPAIN / CINDOC - Centro de Informaciòn y Documentaciòn CientìficaSIGLEESSpai

Carne de vacuno sostenible: Sesión 3: Cómo el ganado preserva los sistemas alimentarios de alto valor

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