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2009 15th International Conference on Intelligent System Applications to Power systems, ISAP '09

作者： Dos Santos Coelho, Leandro Klein, Carlos Eduardo PUC-PR Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná Imaculada Conceição 1155 Zip code 80215-901 Curitiba Paraná Brazil

ISBN: (纸本)9781424450985

This paper aims to share the results on forecasting power demand using least-squares support vector machines. The development is based on model estimation taking in consideration the past measurements for power demand and ambient temperature. All approximated models were evaluated using the multiple correlation coefficient (R2) or mean absolute percentage error (MAPE) and maximum error combined as quality parameters. © 2009 IEEE.

关键词： Support vector machines

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Manufacturing strategy design process improvement through enterprise engineering recommendations

Manufacturing strategy design process improvement through en...

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IIE Annual Conference and Expo 2015

作者： Moura, Louisi Francis De Lima, Edson Pinheiro Deschamps, Fernando Da Costa, Sergio E. Gouvea 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

ISBN: (纸本)9780983762447

The manufacturing strategy design process is crucial for an organization's competitiveness because of its role in bridging the gap between strategy and operations. The dynamic and ever-changing nature of today's businesses makes this a difficult task, extremely influenced by internal and external factors. There is a need for a method that can provide the manufacturing function new attributes for its strategy development as a dynamic model that operates in a complex environment. This work addresses this concern by analyzing a well-established framework for manufacturing strategy design composed of six parts and based on a process approach. The analysis is carried out by considering the alignment of the aims of each of the parts of this framework to a set of enterprise engineering guidelines, that determine how well-structured the process from this framework is. Guidelines verify process formalization, process organizational structure, process synchronization, explicit considerations of performance expectations, exception handling, and incorporation of change and improvement mechanisms. The study reveals that there are some gaps in the process regarding the guidelines and further, suggests improvements in it to fill these gaps. The paper develops new aims to the analyzed manufacturing strategy design framework and shows its relevance to the process. This represents advancement to operations management by proposing a reviewed view of the manufacturing strategy design process through an enterprise engineering perspective. Moreover, it presents a process that can contribute to organizations that intend to develop a customized model, adapted to its reality that conciliates external and internal visions, the dynamics of its environment, and the consideration of quanti-qualitatively activities that recognizes all involved stakeholders.

关键词： Competition

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CT slice retrieval by shape ellipses descriptors for skull repairing

CT slice retrieval by shape ellipses descriptors for skull r...

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2013 20th IEEE International Conference on Image Processing, ICIP 2013

作者： Rudek, Marcelo Canciglieri Jr., Osiris Jahnen, Andreas Bichinho, Gerson Linck Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana PUCPR Brazil Public Research Centre Henri Tudor Luxembourg Technology in Healthcare Postgraduate Program Pontifical Catholic University of Parana PUCPR Brazil

ISBN: (纸本)9781479923410

This paper addresses the problem of automated prosthesis modelling and manufacturing, whose machining parameters are based on images extracted from different medical databases. The specific case of 3D surface restoration of a defective skull was used as study case. A method based on adjusted ellipses on skull bone curvature performs the symbolic representation of searching parameters. The superellipse concept permits to define geometric parameters to fit an ellipse on each Computed Tomography slice. Those ellipse descriptors can be used as a template for the retrieval of similar images from databases whose parameters match the sampled image. The similarity is measured according to the best fitness values through an optimization algorithm. The slices found by similarity are retrieved from all databases in order to build the 3D model. Experiments show that the proposed method is a promising technique for content based image retrieval. © 2013 IEEE.

关键词： Medical imaging

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Towards a smart reconfiguration process for complex product manufacturing based on industrial robot cells

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IFAC-PapersOnLine 2022年第2期55卷 108-113页

作者： Murillo Skrzek Leandro L. da Silva Anderson L. Szejka Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) Curitiba Brazil

The cost for companies that can custom their production line with precision and quality, through machining centres and laser cutting machines, is expensive, as the degree of machining freedom increases. Furthermore, the greater the complexity of the product to be manufactured, the more processes and equipment are needed to manufacture it. In this context, this research proposes a smart reconfiguration process for complex product manufacturing, based on industrial robotic manipulators, with 6 or more degrees of freedom, superior to conventional methods. With the integration of SolidWorks and PowerMill software, it was possible to apply the solution in an experimental case of blisk manufacturing milling and laser cutting of an engine head gasket. With CAD, CAM and robot simulation by the PowerMill tool, it was possible to validate the proposed solution, obtaining process data and information of milling and laser cutting. With the analysis of the simulation results, it was possible to identify the limitations of the project, such as (i) restriction in the precision of the machining of the product; (ii) amount of real-time supervision and monitoring information; and (iii) work area limit. However, the project can integrate two manufacturing processes to machine and cut complex parts with flexibility.

关键词： Robotic manipulator Milling Laser Cutting Reconfigurable Manufacturing systems Complex Product Computer-Aided Manufacturing

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A Mixed Integer Linear programming for COVID-19 Related Medical Waste Reverse Logistics Network Design 22

A Mixed Integer Linear Programming for COVID-19 Related Medi...

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4th International Conference on Management Science and industrial engineering, MSIE 2022

作者： Santos, Aira Ronalie P. Maghfiroh, Meilinda Fitriani Nur Sapiter, John Rayam Prasetyo, Yogi Tri Redi, Anak Agung Ngurah Perwira Persada, Satria Fadil Young, Michael Nayat Nadlifatin, Reny Ardiansyahmiraja, Bobby School of Industrial Engineering and Engineering Management Mapua University Manila Philippines Department of Industrial Engineering Universitas Islam Indonesia Yogyakarta Indonesia Industrial Engineering Department Binus Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Faculty of Business and Economics Universitas Surabaya Surabaya Indonesia

ISBN: (纸本)9781450395816

Medical wastes bring probable hazards and public risks if not handled correctly, especially during the covid-19 pandemic. Waste management costs are rising due to continues devastation of covid-19 virus. Increased care and handling processes have been implemented to avoid further spreading the infection while ensuring the proper disposal. Given this, medical waste related to covid-19, including other wastes generated by medical facilities, requires delicate integration into the waste management process thru a reverse logistics network for cost-efficient collection, processing, and transport style. Using AMPL software as solving tool, this paper was designed to utilize a mixed-integer linear programming model of a reverse logistics network to improve medical waste management by identifying the total minimum cost of the waste disposal cycle from Waste generating facilities, treatment facilities, and to the disposal factory. © 2022 ACM.

关键词： COVID-19

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Swim velocity profile identification by using a modified differential evolution method associated with RBF Neural Network

Swim velocity profile identification by using a modified dif...

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2013 3rd International Conference on Innovative computing Technology, INTECH 2013

作者： Santos Coelho, Leandro Dos Da Cruz, Luciano Ferreira Freire, Roberto Zanetti Pontifical Catholic University of Parana - PUCPR Industrial and Systems Engineering Graduate Program - PPGEPS Curitiba PR Brazil Federal University of Parana - UFPR Department of Electrical Engineering - DEE/PPGEE Curitiba PR Brazil

ISBN: (纸本)9781479900473

High level sports require a steady intensification of training in order to raise the athletes' performance. With the purpose of support swimmers and coaches new biomechanical analysis are been performed, becoming one of the most studied areas in swimming. By using technology resources, Esignificant results related to performance improvements are being achieved. Specific analysis of the movements, strength, velocity and projection allow identifying relevant points that directly impact athletes' results. In this context, this work uses a Radial Basis Function Neural Network (RBF-NN) with training combining the Gustafson-Kessel clustering method and the proposed Modified Differential Evolution (MDE) in order to perform the swimmer velocity profile identification. The main idea is to obtain the dynamic of the velocity profile and to use it to improve the athletes' swim style. Differential Evolution (DE) is an evolutionary algorithm that uses a rather greedy and less stochastic approach to solve problems when compared to other evolutionary methods [1]. However, to achieve good performance with DE, the tuning of control parameters is essential as its performance is sensitive to the choice of the mutation and crossover settings. On the other hand, the RBF-NN is a powerful approach for nonlinear identification. This paper combines the two strategies described above proposing a modified DE algorithm based on the association of a sinusoidal signal and chaotic sequences generated by logistic map for the mutation factor tuning. By using data collected from breaststroke and crawl swim style of an elite female swimmer, the validity and the accuracy of the RBF-NN model have been tested by simulations. Results reveal that it is feasible to establish a good model to represent data experimental related to swimming field. Identification results show that MDE outperforms both other tested classical DE approaches for training RBF-NNs in terms of solution quality. © 2013 IEEE.

关键词： Optimization

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Improving operations performance analysis and use

Improving operations performance analysis and use

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IIE Annual Conference and Expo 2015

作者： Da Silva, Elias H.D. Ribeiro Rocha, Letícia M. Frank, Renata M. Sá Cestari, José M.A. Prado De Lima, Edson Pinheiro Da Costa, Sergio E. Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Sofhar Gestão and Tecnologia S.A. Brazil Federal University of Technology - Parana Curitiba Brazil

ISBN: (纸本)9780983762447

Due to the competitive environment complexity, it is asked for an agile decision making process. Managers face the trade-off of available information prompt consumption versus producing higher quality information that demands more time and resources. Dynamic systems features that produce multifaceted analysis based on real-time reliable information characterize performance management and measurement. This paper shows initial results of an operations performance analysis research project that intends to develop a software solution for improving operations managers' decision-making process. Specifically, the initial results produced an understanding on how decision-making process is developed, defining for this purpose information requirements that are organized as performance indicators. This papers shows results of a case study developed in a software house company, it was studied the sales and operations planning process. Process operations were mapped using direct observations, process documentation and manuals, information management systems data, and interviews with the actors that are involved in process development, coordination and interfaces as suppliers and clients. Mapping the process produced an actual view on how decision-making is being developed. Performance indicators were linked to the process and descriptive and multivariate statistical techniques were applied to determine how this process could be more effective.

关键词： Decision making

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Empirical studies of evolving systems

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Empirical Software engineering 1999年第4期4卷 370-380页

作者： Bennett, K. Burd, E. Kemerer, C. Lehman, M.M. Lee, M. Madachy, R. Mair, C. Sjoberg, D. Slaughter, S. Department of Computer Science University of Durham United Kingdom Katz Graduate School of Business University of Pittsburgh United States Department of Computing Imperial College United Kingdom Department of Informatics and Simulation RMCS Cranfield University United Kingdom Litton Guidance and Control Systems USC Center for Software Engineering United States Design Engineering and Computing University of Bournemouth United Kingdom Department of Informatics University of Oslo Norway Graduate School of Industrial Administrations Carnegie Melon University United States

This paper describes the results of the working group investigating the issues of empirical studies for evolving systems. The groups found that there were many issues that were central to successful evolution and this concluded that this is a very important area within software engineering. Finally nine main areas were selected for consideration. For each of these areas the central issues were identified as well as success factors. In some cases success stories were also described and the critical factors accounting for the success analyzed. In some cases it was later found that a number of areas were so tightly coupled that it was important to discuss them together.

关键词： Software engineering

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Non-linear predictive controllers for thermal comfort optimization and energy saving

Non-linear predictive controllers for thermal comfort optimi...

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

ISBN: (纸本)9783902661197

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. Copyright © 2006 IFAC.

关键词： Thermal comfort

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Applications of multi-objective optimisation for PID-like controller tuning: a 2015-2019 review and analysis

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IFAC-PapersOnLine 2020年第2期53卷 7933-7940页

作者： Tainara Marques Gilberto Reynoso-Meza Industrial and Systems Engineering Graduate Program (PPGEPS) Pontifical Catholic University of Parana (PUCPR) CuritibaPR Brazil

The first open invited track in multi-objective optimisation for control systems was organised in 2017 with the idea of exchanging ideas and research about how those techniques are valuable for control engineers. Given that control engineering problems are generally multi-objective problems, multi-objective optimisation offers an interesting approach via the simultaneous optimisation of all design objectives. Controller tuning is not except from this. In this paper we perform a review and analysis of the literature, limited to the IFAC environment, to appreciate and detect new tendencies in controller tuning applications via multi-objective optimisation. Time window under consideration is from 2015 to date, coinciding with a previous review on the topic, as well as the emigration of IFAC proceedings to Elsevier.

关键词： Multi-objective optimisation Parametric optimisation Evolutionary Algorithms Intelligent Control Process Control

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