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2014 International Conference on Experimental and Applied Mechanics(EAM 2014)

作者： Pamela Teixeira Fernandes Osíris Canciglieri Junior Pontifical Catholic University of Paraná Polytechnic School Graduate Program in Production Engineering and Systems - PUCPR/PPGEPS

This paper presents the development of a conceptual model for Method Integrated Product Development Oriented for *** proposed method aims to assist designers in the development process, generating design alternatives directed at sustainable development and full life cycle of the *** research was limited to application of the method to a product category through a case *** research objective is to present the process of development and application of the *** results indicate that the proposed method provides the development process to insert the rationale for the development of sustainability-oriented products as a complement to traditional design requirements in existing models of product *** is believed that its application to other product designs is promising for the development of sustainable solutions.

关键词： Sustainable Product Development Product Categories Strategies DFE

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Comparing Competitive Priorities of Slow Fashion and Fast Fashion Operations of Large Retailers in an Emerging Economy

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Global Journal of Flexible systems Management 2022年第1期23卷 1-19页

作者： Sellitto, Miguel Afonso Valladares, Domingos Rafael Ferla Pastore, Erica Alfieri, Arianna Production and Systems Engineering Graduate Program Universidade do Vale do Rio dos Sinos - UNISINOS Av. Unisinos 950 RS São Leopoldo 93022.750 Brazil Politecnico di Torino - POLITO Corso Duca degli Abruzzi 24 Turin Italy

The purpose of this study was to compare the competitive priorities of the slow and fast fashion retail operations of large retailers in an emerging economy. The study embraces the six largest Brazilian companies operating both fast and slow fashion businesses. The methodological path comprises a qualitative phase, in which four experts review the competitive priorities in fashion supply chains. Then follows a quantitative phase, in which the practitioners, supported by AHP, the analytical hierarchy process, weight the fast fashion and slow fashion supply chain priorities. Finally, the study compares the two sets of priorities by considering the uncertainty in the judgment. The most relevant priorities in slow fashion are price and quality, whereas those in fast fashion are customer relationships and flexibility. This study proposes guidelines for simultaneously managing these two strategies. In slow fashion, companies should reduce costs and improve quality by implementing online process controls. In fast fashion, companies should decrease lot sizes, increase the variety of mixes and assortments, and strengthen ties with customers. The main novelty of this study is the evidence that retailers operating fast and slow fashion must simultaneously manage two different strategies to achieve different priorities. In addition, some novel procedures are adopted to mitigate the uncertainty in the judgments. © 2021, Global Institute of Flexible systems Management.

关键词： Competitive priorities Customer relationships Fashion supply chain Fast fashion Flexibility Slow fashion

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Sustainable and Inclusive Development Products Applied to Form Engineers in the Citizenship

Sustainable and Inclusive Development Products Applied to Fo...

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2014 International Conference on Experimental and Applied Mechanics(EAM 2014)

作者： Maria Lucia Miyake Okumura Osiris Canciglieri Junior Pontifical Catholic University of Paraná Polytechnic School Graduate Program in Production Engineering and Systems – PUCPR/PPGEPS.

This paper presents a multiple case study concerning to the Integrated Product Development Process(IPDP) that involves the concepts of environmental sustainability and social inclusion to build solar water heating system made of discarded and recyclable materials in a way that People with Visual deficiency(Pw VD) can participate in its *** research proposes that engineering courses in a near future adopt the aspect of Citizenship Education systematically, contextualizing environmental impact reduction and social inclusion of people with *** technical procedure of the study was delineated according to IPDP phases defined in two multidisciplinary strands leading to raw materials data collection through recycling and manufacturability with accessibility process to develop the product *** analysis of the results presents the tooling developed for manufacturing with accessibility of people with visual impairments and the efficiency of the prototype *** the end, it is placed the relevant notes observed during the research and sustainable assignments in social and environmental dimensions for the education of engineering professionals.

关键词： Product Development Environmental Sustainability Social Inclusion Citizenship Education Solar Water Heating System Person with Visual Disability

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Fuzzy model and particle swarm optimization for nonlinear identification of a Chua's oscillator

Fuzzy model and particle swarm optimization for nonlinear id...

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2007 IEEE International Conference on Fuzzy systems, FUZZY

作者： Araujo, Ernesto Dos Santos Coelho, Leandro IEEE Cx.P. 515 12.227-010 Sao Jose dos Campos SP Brazil Production and Systems Engineering Graduate Program PPGEPS Pontifical Catholic University of Parana Imaculada Conceicao 1155 80.215-901 Curitiba PR Brazil

ISBN: (纸本)1424412102

The identification of a nonlinear system with chaotic behavior denoted Chua's oscillator by using fuzzy models intertwined with particle swarm optimization (PSO) method is presented. This hybrid approach is applied to experimental data generated by an inductorless Chua's circuit that consists of an electronic chaotic oscillator. Chua's circuit has been used as a test platform by various scientific and engineering communities related to the study of chaos due its great potencial in technological applications, for instance, telecommunications, cryptography and physics. Fuzzy set theory has been evolved as a powerful modeling tool that can cope with uncertainties and nonlinearities in modeling and identification procedures. The identification of a optimized fuzzy model Takagi-Sugeno (T-S) fuzzy model involves two primary tasks: parameter tuning and structure optimization. The premise part of production rules is optimized here by using the particle swarm optimization method. In turn, least mean squares technique is applied to the consequent part of a T-S fuzzy model. Results indicate PSO method and Least Mean Square technique succeeded in constructing a T-S fuzzy model when dealing with chaotic dynamics obtained through experimental data supplied by inductorless Chua's electronic circuit. © 2007 IEEE.

关键词： Fuzzy set theory

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Microscopic Simulation Analysis of Mainstream Traffic Flow Control with Variable Speed Limits

Microscopic Simulation Analysis of Mainstream Traffic Flow C...

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International IEEE Conference on Intelligent Transportation systems

作者： Eduardo R. Muller Rodrigo C. Carlson Werner Kraus Markos Papageorgiou Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina Department of Production Engineering and Managament Technical University of Crete

ISBN: (纸本)9781479929153

Mainstream Traffic Flow Control (MTFC) with Variable Speed Limits (VSL) is a freeway traffic control method which aims to maximize throughput by regulating the mainstream flow upstream from a bottleneck. Recent studies in a macroscopic simulator have shown optimal and feedback MTFC potential to improve traffic conditions. In this paper, local feedback MTFC is applied in microscopic simulation for an on-ramp merge bottleneck. Traffic behavior reveals important aspects that had not been previously captured in macroscopic simulation. Mainly, the more realistic VSL application at specific points instead of along an entire freeway section produces a slower traffic response to speed limit changes. In addition, the nonlinear speed limit-flow relation observed in the microscopic model is more pronounced than what was observed at the macroscopic level. After appropriate modifications in the control law significant improvements in traffic conditions were obtained.

关键词： Vehicles Acceleration Microscopy Traffic control Delays Detectors Modeling

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Use of Cultural Particle Swarm Optimization for Loney's Solenoids Design

Use of Cultural Particle Swarm Optimization for Loney's Sole...

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IEEE Conference on Electromagnetic Field Computation

作者： L. dos Santos Coelho V. Cocco Mariani Production and Systems Engineering Graduate Program Automation and Systems Laboratory PUCPR/PPGEPS/LAS Pontifical Catholic University of Paraná Curitiba Brazil Mechanical Engineering Graduate Program PUCPR/PPGEM Pontifical Catholic University of Paraná Curitiba Brazil

This work presents the use of particle swarm optimization (PSO) techniques with the particles' population space based on normative knowledge of cultural algorithms (CA). In this work, the optimal shape design of L... 详细信息

关键词： Cultural differences Particle swarm optimization Solenoids Optimization methods Design optimization Algorithm design and analysis Gaussian distribution Probability distribution Random number generation Equations

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Logistics for Disaster Waste Management: A Case Study of the 2019 Oil Spill in Brazil

Logistics for Disaster Waste Management: A Case Study of the...

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International Conference on production and Operations Management, POMS 2021

作者： Netto, Luiz Fernando Sanghikian, Alex Igor Yoshizaki, Hugo Tsugunobu Yoshida de Brito Junior, Irineu Chico Mendes Institute for Biodiversity Conservation Pirassununga Brazil Department of Production Engineering Sao Paulo State University Sao Paulo Brazil Graduate Program in Logistics Systems Engineering Sao Paulo University Sao Paulo Brazil Environmental Engineering São Paulo State University Sao Jose dos Campos Brazil

ISBN: (纸本)9783031068614

During the response and recovery phases of a disaster, an important issue is waste management, which includes generation, transportation, transfer, processing, recycling, and reuse of debris. In this paper, we analyzed the logistical process related to the management of 5400 metric tons of waste from the 2019 oil spill in Brazil, considering environmental impacts and cleaning efforts. The analyses show the quantities handled by the state governments responsible for the operation and the main destination of the residues, which was the cement industry. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Waste management

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An Efficient Particle Swarm Optimization Approach Based on Cultural Algorithm Applied to Mechanical Design

An Efficient Particle Swarm Optimization Approach Based on C...

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Congress on Evolutionary Computation

作者： L. dos Santos Coelho V.C. Mariani Production and Systems Engineering Graduate Program Automation and Systems Laboratory PPGEPS/CCET/PUCPR Pontifical Catholic University of Paraná Curitiba Parana Brazil Mechanical Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba Parana Brazil

Particle swarm optimization (PSO) is a population-based swarm intelligence algorithm driven by the simulation of a social psychological metaphor instead of the survival of the fittest individual. Based on the swarm intelligence theory, this paper discusses the use of PSO approaches using an operator and based on the Gaussian probability distribution function as a population space of a cultural algorithm, called cultural Gaussian PSO (GPSO-CA). Cultural algorithms are mechanisms that incorporate domain knowledge obtained during the evolutionary process, which increase the efficiency of the search process. These approaches are employed in a well-studied continuous optimization problem of mechanical engineering design.

关键词： Particle swarm optimization Cultural differences Algorithm design and analysis Probability distribution Design optimization Equations Design engineering Mechanical engineering Random number generation Psychology

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Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies

Neural Networks, Fuzzy System, and Linear Models in Forecast...

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International Joint Conference on Neural Networks (IJCNN)

作者： A.A.P. Santos L. dos Santos Coelho Graduate Program in Economics Federal University of Santa Catarina Santa Catarina Brazil Production and Systems Engineering Graduate Program Automation and Systems Laboratory PPGEPS/CCET/PUCPR Pontifical Catholic University of Paraná Parana Brazil

Artificial neural networks and fuzzy systems, have gradually established themselves as popular tools in approximating complicated nonlinear systems and time series forecasting. This paper investigates the hypothesis that the nonlinear mathematical models of multilayer perceptron and radial basis function neural networks and the Takagi-Sugeno (TS) fuzzy system are able to provide a more accurate out-of-sample forecast than the traditional autoregressive moving average (ARMA) and ARMA generalized autoregressive conditional heteroskedasticity (ARMA-GARCH) linear models. Using series of Brazilian exchange rate (R$/US$) returns with 15 min., 60 min., 120 min., daily and weekly basis, the out-pf-sample one-step-ahead forecast performance is compared. Results indicate that forecast performance is strongly related to the series' frequency and the forecasting evaluation shows that nonlinear models perform better than their linear counterparts. In the trade strategy based on forecasts, nonlinear models achieve higher returns when compared to a buy-and-hold strategy and to the linear models.

关键词： Neural networks Fuzzy systems Predictive models Exchange rates Autoregressive processes Artificial neural networks Mathematical model Nonlinear systems Multilayer perceptrons Radial basis function networks

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Redundant Information Analysis in a Decomposed Petri Net Model

Redundant Information Analysis in a Decomposed Petri Net Mod...

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International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce

作者： M. Da Silveira M. Combacau E. Portela LAAS-CNRS TOULOUSE - cedex 04 France Graduate Program on Production and Systems Engineering Pontifical Catholic University of Paraná Curitiba Brazil

Many works propose to use decentralized models to control and supervise physical systems. The decomposition tasks are, often, executed by an expert on the physical application. Recent works developed at LAAS-CNRS propose method to systematically decompose centralised models based on Petri nets. This method generates redundant information between the sub-modules. In some cases, these redundancies are necessary to guarantee the dependability of the system (by duplicating critical information). It can also be used by the diagnosis algorithm in order to improve the fault isolation (by pointing out the relation between sub-models) and to reduce the maintenance costs (by reducing the number of sub-models that must be modified to update the system). However, the duplication of information introduce extra costs that can be observed by the complexity of keeping the data coherence and by the surcharge of the communication network coming from the data exchange between interdependent sub-models. This paper presents a set of indicators that can be used by the designer's team to evaluate the consequences of redundant information introduction and to help them to decide the most appropriated configuration of the system

关键词： Information analysis Petri nets Redundancy Costs production systems Communication networks Flexible manufacturing systems Manufacturing systems Control system synthesis Automatic generation control

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