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Proceedings of the 11th International Conference on Production Research – Americas 1

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1000年

作者： Fernando Deschamps Edson Pinheiro de Lima Sérgio E. Gouvêa da Costa Marcelo G. Trentin

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Discrete variable structure control based on optimization by cultural differential evolution approach

Discrete variable structure control based on optimization by...

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2006 ASME International Mechanical engineering Congress and Exposition, IMECE2006

作者： Dos Santos Coelho, Leandro Mariani, Viviana Cocco Pontifical Catholic University of Parana Production and Systems Engineering Graduate Program PPGEPS / CCET/ PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil Pontifical Catholic University of Parana Mechanical Engineering Graduate Program PPGEM / CCET/ PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil

ISBN: (纸本)0791837904

Advanced conceptions to design industrial control systems are, in general, dependent of mathematical models of the controlled process. Also, the task of the controllers is to achieve an optimum performance when facing with various types of disturbances that are, sometimes, unknown in practical applications. An advanced methodology for control design is the variable structure control (VSC) with sliding mode. This paper considers the non-linear control of industrial processes based on self-tuning discrete VSC technique. A novel and systematic VSC design methodology is proposed, which integrates an estimator based on recursive least square algorithm, a discrete quasi-sliding surface and a optimization method. Contrary to the trial and error selection of the variable structure feedback gains reported in the literature, the selection in present work is done using differential evolution (DE) optimization, an evolutionary computation technique, with a new operator based on normative knowledge of cultural algorithms. The proposed design has been applied to a control valve described by a non-linear Wiener model. Numerical simulation results reveal that the new DE approach is applicable and promising for the VSC design. Copyright © 2006 by ASME.

关键词： Optimal control systems

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Mechanical design using quantum-behaved particle swarm optimizer with exponential mutation operator

Mechanical design using quantum-behaved particle swarm optim...

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2006 ASME International Mechanical engineering Congress and Exposition, IMECE2006

作者： Dos Santos Coelho, Leandro Marian, Viviana Cocco Production and Systems Engineering Graduate Program PPGEPS / CCET / PUCPR Pontifical Catholic University of Parana Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil Mechanical Engineering Graduate Program PPGEM / CCET/ PUCPR Pontifical Catholic University of Parana Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil

ISBN: (纸本)0791837904

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm that shares many similarities with evolutionary computation techniques. However, the PSO is driven by the simulation of a social psychological metaphor motivated by collective behaviours of bird and other social organisms instead of the survival of the fittest individual. Inspired by the classical PSO method and quantum mechanics theories, this work presents new Quantum-behaved PSO (QPSO) approaches using mutation operator with exponential probability distribution. The simulation results demonstrate good performance of the QPSO in solving a well-studied continuous optimization problem of mechanical engineering design. Copyright © 2006 by ASME.

关键词： Quantum theory

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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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Bayesian credit scoring model with integration of expert knowledge and customer data

Bayesian credit scoring model with integration of expert kno...

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24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010

作者： Biçer, Işik Seviş, Deniz Bilgiç, Taner Department of Industrial Engineering Bogaziçi University Turkey Graduate Program of Systems and Control Engineering Bogaziçi University Turkey

ISBN: (纸本)9789955285977

Bayesian classification method is one of the effective classification methods in credit scoring applications. Application of this method to credit scoring provides several advantages, which are suggested in the literature. In this research, a Bayesian credit scoring model is applied for classification of personal loan customers. The contribution of this paper is two-fold. First, we apply a Bayesian classification model to credit scoring of personal loan customers with integration of knowledge of credit experts and personal loan data. The dependency relations between the variables are constructed based on the knowledge of credit experts, and the parameters are estimated by Expectation-Maximization (EM) algorithm with real personal loan data of customers obtained from a Turkish bank. Second, we assess the effectiveness of the Bayesian credit scoring model based on additional personal loan data of the bank customers. The results show that the Bayesian credit scoring model is more effective than the logistic regression credit scoring model which has been currently used in the bank. © Izmir University of Economics, Turkey, 2010.

关键词： Sales

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A multivariable coupling design for variable structure control using particle swarm optimization

A multivariable coupling design for variable structure contr...

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2006 ASME International Mechanical engineering Congress and Exposition, IMECE2006

作者： Dos Santos Coelho, Leandro Mariani, Viviana Cocco Pontifical Catholic University of Parana Production and Systems Engineering Graduate Program PPGEPS / CCET / PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil Pontifical Catholic University of Parana Mechanical Engineering Graduate Program PPGEM / CCET/ PUCPR Imaculada Conceicao 1155 80215-901 Curitiba Parana Brazil

ISBN: (纸本)0791837904

This paper presents a new discrete-time sliding-mode control design for multiple-input multi-output (MIMO) systems with tuning parameters by particle swarm optimization (PSO). PSO is a kind of evolutionary algorithm based on a population of individuals and motivated by the simulation of social behavior instead of the survival of the fittest individual. Several control algorithms are presented, two decoupling design and six new approaches of the coupling design of sliding-mode control without the necessity of calculate the process interactor matrix. SMC needs a design tool for parameter configuration and efficient practically to deal with multivariable processes. Simulations are carried out using both decoupling and coupling discrete-time SMC designs. Results shown that the new proposed approach for designing the discrete-time coupling SMC is a powerful tool and it performs better than the decoupling design, usually utilized in MIMO process. The simulations are assessed on a robotic manipulator of two degree-of-freedom (2-DOF), that constitute a MIMO nonlinear coupling dynamic system, with treatment of payload mass and link length variations. Simulation results show that the application of this control strategy effectively improve the trajectory tracking precision of position and velocity variables. Copyright © 2006 by ASME.

关键词： Sliding mode control

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Chaotic differential evolution applied to electromagnetics optimization

Chaotic differential evolution applied to electromagnetics o...

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12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

作者： Dos Santos Coelho, Leandro Mariani, Viviana Cocco Production and Systems Engineering Graduate Program Automation and Systems Laboratory Pontifical Catholic University of Paraná Imaculada Conceicao 1155 80215-901 Curitiba Brazil Pontifical Catholic University of Paraná Mechanical Engineering Graduate Program PUCPR/PPGEM Imaculada Conceicao 1155 80215-901 Curitiba Brazil

ISBN: (纸本)1424403200

This work presents a new global optimization algorithm based on differential evolution (DE) method and DE combined with chaotic sequences (DEC) given by logistic map. In this paper, the optimal shape design of Loney's solenoids benchmark problem is carried out by DE and DEC algorithms. The results of DE and DEC approaches are also investigated and their performance compared with those reported in the literature. © 2006 IEEE.

关键词： Chaos theory

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Selection of industry 4.0 Technologies: A research agenda

Selection of industry 4.0 Technologies: A research agenda

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IISE Annual Conference and Expo 2021

作者： Santos, Reginaldo Carreiro de Lima, Edson Pinheiro da Costa, Sérgio Eduardo Gouvêa Deschamps, Fernando Industrial and Systems Engineering Graduate Program Pontifícia Universidade Católica do Paraná PR Curitiba Brazil

ISBN: (纸本)9781713838470

The technological paradigm shift is supporting the digital transformation of manufacturing, characterized by emerging industry 4.0 technologies, and the inherent complexity in selecting appropriate technologies. This increasing complexity of technologies, the multiple and conflicting decision criteria, and the abundance of technology alternatives demand a structured process for managers to select technologies to be acquired and implemented. This work derived from the observation of a real problem in a recognized world class automaker company. The identified problem consists in a lack of a consolidated process (procedure) to support managers and specialists in selecting industry 4.0 technologies. This paper aims at extending theory concerning technology management and selection, by proposing a research agenda regarding the solution for the defined problem. A systematic literature review (SLR) is performed to support it, comprising the analysis and synthesis of a review portfolio. The construction of a structured procedure for industry 4.0 technology selection would serve two purposes: (i) to identify the most suitable technology to solve a specific problem, (ii) to support the creation of a technology roadmap to ground a long-term investment plan. The procedure should be able to deal with both purposes to support firms in a digital transformation journey, enabling an objective, rational and traceable decision-making process. © 2021 IISE Annual Conference and Expo 2021. All rights reserved.

关键词： Industry 4.0

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The Application of Reference Ontologies for Semantic Interoperability in an Integrated Product Development Process in Smart Factories

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Procedia Manufacturing 2017年 11卷 1375-1384页

作者： Szejka, Anderson Luis Junior, Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Imaculada Conceição 1155 Curitiba 80215-901 Paraná Brazil

Efficient information sharing demands formal information structures in order to make sure the semantic interoperability across different phases of Product Development Process. This research presents an application of reference ontologies to support semantic interoperability during the Product Development Process. The concepts inherent to the product development process are formalized in reference ontologies and these ontologies are specialized according to the specific product data, respecting semantic rules. As a result, the potential benefits and limitations of the ontology-driven interoperability were discussed, contributing to the semantic interoperability field and improving the product and manufacturing design. © 2017 The Authors

关键词： Decision-Making support Integrated Product Development Process Multiple Domains Ontology Semantic Interoperability Smart Factories

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Mapping the research in household electrical power services customer satisfaction

Mapping the research in household electrical power services ...

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2016 industrial and systems engineering Research Conference, ISERC 2016

作者： de Lima, Edson Pinheiro Abrão, Ana Glória Souza, Maria Eduarda Letti Catapan, Angela Gouvea da Costa, Sergio E. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Federal University of Technology Parana Brazil

In essence companies develop their business models for attending expectations of a selected group of customers that define their served markets. For public services or companies there are some particularities for defining their stakeholders that could create singularities in terms of setting clients' expectations. In some cases, these companies have a license to serve a region that could be create some sort of monopoly, and this is the case of Brazilian electricity distributors. The aim of this paper is to study customer satisfaction in household electrical power distribution services;mapping for this purpose the research that is being conducted over the last decades. Mapping the literature contributes for framing the evolution of technical and scientific publications in terms authorships, specialized journals outlets, research topics and other factors that contribute to the full understanding of this research theme. This paper presents a systematic literature review by developing a research protocol and process based on the Cochrane method. Portfolio analysis provides social networks and bibliometrics information that result in a research agenda for the studies in customer satisfaction for residential power services. In this sense, the paper contribution is mapping research trends in the studied research theme. © 2016 Proceedings of the 2016 industrial and systems engineering Research Conference, ISERC 2016. All rights reserved.

关键词： Customer satisfaction

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