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Current Panorama, Practice Gaps, and Recommendations to Accelerate the Transition to a Circular Bioeconomy in Latin America and the Caribbean

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Circular Economy and Sustainability 2022年第1期2卷 281-312页

作者： Salvador, Rodrigo Pereira, Reinalda Blanco Sales, Gabriel Fernandes de Oliveira, Vanessa Campana Vergani Halog, Anthony De Francisco, Antonio C. Sustainable Production Systems Laboratory (LESP) Graduate Program in Industrial Engineering (PPGEP) Universidade Tecnológica Federal Do Paraná (UTFPR) Ponta Grossa Brazil School of Earth and Environmental Sciences The University of Queensland St Lucia 4072 QLD Australia

The rampant use of resources and the increasing risk of scarcity have been contributing to greater awareness regarding the need for maintaining resources in use for longer and the shift to renewable alternatives, in which perspective the concept of a circular bioeconomy (CBE) has been permeating the most diverse sectors. Therefore, the study’s aims were manifold: identify (i) existing practices and initiatives, (ii) barriers and potential opportunities and (iii) existing gaps for advancing a circular bioeconomy in Latin America and the Caribbean (LAC) and (iv) provide recommendations aiming at the development of a circular bioeconomy (CBE) in the region. To that end, a systematic review of the existing academic literature was done, and reports from relevant non-peer reviewed sources were also consulted. CBE practices in LAC are concentrated in only a few of the countries in the region and very much revolve around recovering value from by-products and waste streams. There are a range of economic, technological, environmental, and social barriers. Opportunities for a CBE are mainly related to the use of waste as raw material (found abundantly in the countries being investigated) and the use of new techniques/technologies. The gaps between the current state and a successful CBE are related to policy, scaling-up, collaborations, and establishing efficient business models. Recommendations for a successful CBE in the region include greater engagement of public actors, investing and developing the local economy, establishing biorefineries and industrial parks, and finding new technological routes for bioresources. © 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Bioeconomy Circular bioeconomy Circular business Circular economy Latin America Policy

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NON-LINEAR PREDICTIVE CONTROLLERS FOR THERMAL COMFORT OPTIMIZATION AND ENERGY SAVING

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IFAC Proceedings Volumes 2006年第19期39卷 87-92页

作者： Roberto Z. Freire Gustavo H.C. Oliveira Nathan Mendes Industrial and Systems Engineering Graduate Program - PPGEPS Thermal Systems Laboratory - LST Pontifical Catholic University of Parana Curitiba/PR/Brazil - Zip Code 80215-901

The present work is focused on the study of indoor thermal comfort control problem in buildings equipped with heating systems. The occupants' thermal comfort sensation is addressed here by a comfort index known as PMV (Predict Mean Vote). In this context, two control algorithms are proposed by using only-one-actuator system associated to the heating system. The methods are based on the model predictive control scheme and on the improvement of the PMV index together with energy minimization. Simulation results - obtained by using the weather data file for the city of Curitiba, Brazil - for two case studies: i ) variations between low and moderate occupants metabolic rates and ii) variations between moderate and high occupants metabolic rates are presented to validate the proposed methodology in terms of room air temperature, relative humidity and PMV control.

关键词： predictive control thermal comfort heating systems non-linear control

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A robust approach toward recognizing valid arterial-blood-pressure pulses

A robust approach toward recognizing valid arterial-blood-pr...

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作者： Asgari, Shadnaz Bergsneider, Marvin Hu, Xiao Neural Systems and Dynamics Laboratory Department of Neurosurgery University of California Los Angeles CA 90024 United States Biomedical Engineering Graduate Program Henry Samueli School of Engineering and Applied Science University of California Los Angeles CA 90024 United States

We propose a projection method based on singular value decomposition (SVD) to validate arterial blood pressure (ABP) signal in order to avoid artifacts and noise in subsequent processing. The projection has been done on 567 validated ABP beats collected from 51 patients hospitalized in University of California, Los Angeles Medical Center. Then, we compare the performance of the proposed projection method with that of a previously developed algorithm, signal abnormality index (SAI), which is a value- and trend-based approach, and has shown to be effective in cleaning the ABP waveforms. The testing dataset consists of 1336 ten-second ABP segments (18472 ABP beats) of both valid and invalid pulses selected randomly from multiparameter intelligent monitoring for intensive care II database. The proposed projection approach that validates the signal based on the shape of the waveform achieves a true positive rate (TPR) of 99.06%, 5.43% higher than that of the SAI, and a false positive rate (FPR) of 7.69%, 17.38% lower than that of SAI. Integration of some of the SAI-value-based abnormality conditions to the validation process of SVD-based method can further improve the performance by reducing the FPR to 3.92%, while keeping the TPR at the high rate of 99.05%. © 2009 IEEE.

关键词： Singular value decomposition

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Addressing knowledge management transfer in project management at digital manufacturing

Addressing knowledge management transfer in project manageme...

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2018 Institute of Industrial and systems Engineers Annual Conference and Expo, IISE 2018

作者： Muncinelli, Gianfranco De Lima, Edson Pinheiro Deschamps, Fernando Gouvea Da Costa, Sergio E. Beller, Cassiano S. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Federal University of Technology - Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil Superior Institute of Administration and Economy of Mercosul Curitiba Brazil

Manufacturing has been changing drastically the way it approaches facility design and implementation, that is, there is a growing adoption of digital techniques. This paper intends to determine the theoretical concepts and guidelines for assisting the study of alternatives for problem-solving in a specific case of an automaker digital manufacturing project. The main objective of the research is to determine the theoretical components that will assist in the forwarding of solutions to the problems observed in the current model of project management of digital manufacturing projects. The conceptual guidelines proposed based on systematic literature and guided the construction of research protocol that collects data from technical visits (semi-participative observation), technical documents and procedures, information systems log and archives, and semi-structured interviews. Data analysis use the mechanism of triangulation and workshops for producing a conceptual analysis about how each factor can assist in addressing the solving of the issues observed, building the theoretical constructs. The manufacturing engineering team could identify strengths and weakness on the ongoing practices and better plan improvements for reaching opportunities and mitigating threats/risks. The findings are classified in the following aspects: cultural, technology, knowledge content, organization, processes, and project management;and showed a complete analysis on how ready is the organization for developing digital manufacturing projects. © 2018 Institute of Industrial Engineers (IIE). All rights reserved.

关键词： Knowledge management

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Optimized Filling of a Given Cuboid with Spherical Powders for Additive Manufacturing

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Journal of the Operations Research Society of China 2021年第4期9卷 853-868页

作者： Zoya Duriagina Igor Lemishka Igor Litvinchev Jose Antonio Marmolejo Alexander Pankratov Tatiana Romanova Georgy Yaskov Lviv Polytechnic National University Lviv 79013Ukraine Katolicki Uniwersytet Lubelski Jana Pawła II Al.Racławickie 1420950 LublinPoland Graduate Program in Systems Engineering Nuevo Leon State University(UANL)MonterreyCP 66455 San Nicolas de los GarzaNuevo LeonMexico Engineering Department Panamerican UniversityCP 03920 Mexico CityMexico Department of Mathematical Modeling and Optimal Design Institute for Mechanical Engineering Problemsthe National Academy of Sciences of UkraineKharkiv 61046Ukraine Department of Systems Engineering of Kharkiv National University of Radio Electronics Kharkiv 61166Ukraine

In additive manufacturing(also known as 3D printing),a layer-by-layer buildup process is used for manufacturing *** laser 3D printers can work with various materials including metal *** particular,mixing various-sized spherical powders of titanium alloys is considered most promising for the aerospace *** achieve desired mechanical properties of the final product,it is necessary to maintain a certain proportional ratio between different powder *** this paper,a modeling approach for filling up a rectangular 3D volume by unequal spheres in a layer-by-layer manner is proposed.A relative number of spheres of a given radius(relative frequency)are known and have to be fulfilled in the final packing.A fast heuristic has been developed to solve this special packing *** results are compared with experimental findings for titanium alloy spherical *** relative frequencies obtained by using the imposed algorithm are very close to those obtained by the *** provides an opportunity for using a cheap numerical modeling instead of expensive experimental study.

关键词： Sphere packing Heuristic algorithm Titanium alloy spherical powders 3D printing

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Proposal of a framework for a disaster management system

Proposal of a framework for a disaster management system

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2016 Industrial and systems engineering Research Conference, ISERC 2016

作者： Foggiatto, Anderson Avanzi, Daniel de Freitas Rocha Loures, Eduardo Deschamps, Fernando Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Instituto Curitiba de Informática Curitiba Brazil Federal University of Technology - Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil

During a disaster, the more coordinated the response, the lesser its impacts are. One of the factors that has a major influence in response coordination is the interoperability among involved actors - public and private entities that interact to exchange information through the communication of people and systems. This factor is critical because it allows an efficient and effective mobilization of available resources towards reducing the effects caused by an event. This work proposes a framework for the development of Disaster Management systems (DMS) that promote real time communication (information flow and process coordination) among different involved entities, primarily focusing on interoperability in its different levels. This framework is based both on a literature review of scientific works and a survey of worldwide initiatives related to improving disaster response. The main components of the related framework architecture are an SDK (software development kit), a common relational database, multiple communication platforms (e.g., a Web portal and a mobile app), and low-cost hardware to better collect and make needed information available quickly and accurately. © 2016 Proceedings of the 2016 Industrial and systems engineering Research Conference, ISERC 2016. All rights reserved.

关键词： Interoperability

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Improved quantum-inspired evolutionary algorithm with diversity information applied to economic dispatch problem with prohibited operating zones

Improved quantum-inspired evolutionary algorithm with divers...

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作者： Neto, Júlio Xavier Vianna De Andrade Bernert, Diego Luis Dos Santos Coelho, Leandro Pontifical Catholic University of Parana PUCPR Undergraduate Program at Mechatronics Engineering Imaculada Conceição 1155 Zip code 80215-901 Curitiba Parana Brazil Pontifical Catholic University of Parana PUCPR Industrial and Systems Engineering Graduate Program LAS/PPGEPS Imaculada Conceição 1155 80215-901 Curitiba Parana Brazil

The objective of the economic dispatch problem (EDP) of electric power generation, whose characteristics are complex and highly nonlinear, is to schedule the committed generating unit outputs so as to meet the required load demand at minimum operating cost while satisfying all unit and system equality and inequality constraints. Recently, as an alternative to the conventional mathematical approaches, modern meta-heuristic optimization techniques have been given much attention by many researchers due to their ability to find an almost global optimal solution in EDPs. Research on merging evolutionary computation and quantum computation has been started since late 1990. Inspired on the quantum computation, this paper presented an improved quantum-inspired evolutionary algorithm (IQEA) based on diversity information of population. A classical quantum-inspired evolutionary algorithm (QEA) and the IQEA were implemented and validated for a benchmark of EDP with 15 thermal generators with prohibited operating zones. From the results for the benchmark problem, it is observed that the proposed IQEA approach provides promising results when compared to various methods available in the literature. © 2010 Elsevier Ltd. All rights reserved.

关键词： Optimization

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Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring

Multi-objective Support Vector Machines Ensemble Generation ...

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Congress on Evolutionary Computation

作者： Victor Henrique Alves Ribeiro Gilberto Reynoso-Meza Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana (PUCPR) Curitiba Brazil

Real-world classification problems generally deal with imbalanced data, where one class represents the majority of the data set. The present work deals with event detection on a drinking-water quality time series, where the presence of a quality event is the minority class. In order to solve such problems, supervised learning algorithms are recommended. Researchers have also used multi-objective optimization (MOO) in order to generate diverse models to build ensembles of classifiers. Although MOO has been used for ensemble member generation, there is a lack on it's application for member selection, which is usually done by selecting a specific subset from the resulting models, or by using meta-algorithms, such as boosting. The proposed work comprises the application of MOO design in the whole process of ensemble generation. To do so, one multi-objective problem (MOP) is defined for the creation of a set of non-dominated solutions with Pareto-optimal support vector machines (SVM). After that, a second MOP is defined for the selection of such SVMs as members of an ensemble. Such methodology is compared to other member selection methods, such as: the single best classifier, an ensemble composed of the full set of non-dominated solutions, and the selection of a specific subset from the Pareto front. Results show that the proposed method is suitable for the creation of ensembles, achieving the highest classification scores.

关键词： Support vector machines Optimization Mood Training Event detection Kernel Supervised learning

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Integrating agents and soft computing in Intelligent Manufacturing System models

Integrating agents and soft computing in Intelligent Manufac...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Luiz Marcio Spinosa Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba Parana Brazil

This paper introduces an approach to deal with IMS (Intelligent Manufacturing System) models, in order to help the development of Decision Support systems, Simulators and Performance Evaluators. The complexity of such systems is growing continuously requiring knowledge and information exchange between different manufacturing functions with more and more efficiency. This paper explores some potentialities of soft computing approaches and intelligent agent-oriented design including artificial neural networks, fuzzy systems, and evolutionary computation. The rationale is in order to support decision making processes performed by the autonomous and co-operative units of an IMS.

关键词： Computational modeling Manufacturing Object oriented modeling Artificial intelligence Artificial neural networks Evolutionary computation Fuzzy logic

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Multi-objective PID Controller Tuning for an Industrial Gasifier

Multi-objective PID Controller Tuning for an Industrial Gasi...

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Congress on Evolutionary Computation

作者： Victor Henrique Alves Ribeiro Gilberto Reynoso- Meza Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná (PUCPR) Curitiba Brazil

Control of industrial plants is an important engineering field of study, where the optimization of such processes can lead to better product quality and higher profit. The present work deals with the optimization of an industrial gasifier, proposed as a benchmark challenge by ALSTOM Power Technologies in 2002. Researchers from around the globe proposed different methods for optimizing such system, using linear and nonlinear system identification techniques, different controller schemes, such as proportional-integral-derivative and model predictive controllers, and search methods for controller tuning. The authors care for the study of a methodology that can generalize the controller optimization process of real industrial systems, where linear system identification can lead to simpler systems, which are used to design more robust controllers. The proposed work deals with linear system identification and multiobjective optimization for the gasifier's controller design. To do so, the authors divide the problem in two steps, the linear system identification, where step functions are fed to the gasifier in order to detect the output response of the system, and the design of a proportional-integral-derivative controller, where spherical pruned multi-objective differential evolution algorithm is used in order to optimize the controller gains. The proposed method, unfortunately, does not provide an optimal controller, which can be explained by the complexity of the benchmark system. With such results, the authors believe a better multi-objective problem definition is necessary. Also, it is concluded that such benchmark presents a real challenge for future controller design methndologies.

关键词： Optimization Process control Benchmark testing Tuning PD control Genetic algorithms

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