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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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Towards a Machine Learning Failure Prediction System Applied to a Smart Manufacturing Process 17th

Towards a Machine Learning Failure Prediction System Applied...

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17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020

作者： da Rocha, Tainá Canciglieri, Arthur Beltrame Szejka, Anderson Luis dos Santos Coelho, Leandro Canciglieri Junior, Osiris Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Polytechnic Center Curitiba Brazil

ISBN: (纸本)9783030628062

At a time when the competitive market is operating rapidly, manufacturing industries need to stay connected, have interchangeability and interoperability in their factories, ensuring that there is heterogeneous communication between sectors, people, machines and the client, challenging the manufacturing industry to discover new ways to bring new products or improve their manufacturing process. Precisely because of the need to adjust to these new market demands, factories pursue complex and quick decision-making systems. This work aims to propose applications of Machine Learning techniques to develop a decision-making platform applied to a manufacturing line reducing scrap. This goal will be achieved through a literature review in the fields of Artificial Intelligence (AI) and Machine Learning to identify core concepts for the development of a failure prediction system. This research has demonstrated the problems and challenges faced by manufacturing daily, and how, through the application of AI techniques, it is possible to contribute to assist in these problems by improving quality, performance, scrap rates and rework, through connectivity and integration of data and processes. This paper contributes to evaluate the performance of machine learning ensembles applied in a real smart manufacturing scenario of failure prediction. © 2020, IFIP International Federation for Information Processing.

关键词： Interoperability

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Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition

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IEEE Access 2024年 12卷 106070-106083页

作者： Hsieh, I-Ting Wu, Chung-Hsien Zhao, Zhe-Hong National Cheng Kung University Graduate Program of Multimedia Systems and Intelligent Computing Tainan70101 Taiwan National Cheng Kung University Department of Computer Science and Information Engineering Tainan70101 Taiwan

Under-resourced automatic speech recognition (ASR) has become an active field of research and has experienced significant progress during the past decade. However, the performance of under-resourced ASR trained by existing methods is still far inferior to high-resourced ASR for practical applications. In this paper, speech data from languages that share the most phonemes with the under-resourced language are selected as supplementary resources for meta-training based on the Model-Agnostic Meta-Learning (MAML) strategy. Besides supplementary language selection, this paper proposes a dynamic sampling method instead of the original random sampling method to select support and query sets for each task in MAML to improve meta-training performance. In this study, Taiwanese is selected as the under-resourced language, and the speech corpus of five languages, including Mandarin, English, Japanese, Cantonese, and Thai, are chosen as supplementary training data for acoustic model training. The proposed dynamic sampling approach uses phonemes, pronunciation, and speech recognition models as the basis to determine the proportion of each supplementary language to select helpful utterances for MAML. For evaluation, with the selected utterances from each supplementary language for meta-training, we obtained a Word Error Rate of 20.24% and a Syllable Error Rate of 8.35% for Taiwanese ASR, which were better than the baseline model (26.18% and 13.99%) using only the Taiwanese corpus and other methods. © 2013 IEEE.

关键词： Speech recognition

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A preliminary discussion of digital transformation and semantic interoperability to support the information exchange in the business process 28

A preliminary discussion of digital transformation and seman...

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28th ISTE International Conference on Transdisciplinary engineering, TE 2021

作者： Nakano, Lucas Yoshio Bertoldi, Pedro Henrique Szejka, Anderson Luis Canciglieri Junior, Osiris Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Automation and Control Engineering Program Pontifical Catholic University of Parana Curitiba Brazil

ISBN: (纸本)9781643682082

The development of interoperability is more and more an essential task for all kinds of organizations. It needs to be measured, verified, and continuously improved. With the advent of the Internet of Things, Industry 4.0, Digital Transformation, as well as all technologies it brings, such as big data, cloud computing, and mobile applications, this subject become quite ordinary and necessary, not only in a manufacturing scenario but also in a business process. As crucial benefits, it can bring possible gains for developers and users, also reduce the efforts to communicate multiple and different platforms. Like all new implementations, there are significant challenges that have to be overcome to allow satisfactory results. In this paper, after a systematic literature review to better understand the technologies and this new situation, we conduct a study involving a case in a business process, presenting some actions that can be executed and technologies that can be implemented to reach a well interoperable environment. For instance, to analyze the interoperability maturity level and to adopt ontologies as an alternative to integrate heterogeneous systems. Finally, in the last part of the paper, we give conclusions and perspectives for futures works. © 2021 The authors and IOS Press.

关键词： Interoperability

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Correction: A meta-classification-based approach for outlier identification in GNSS networks

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GPS Solutions 2025年第2期29卷 1-1页

作者： Suraci, Stefano Sampaio de Oliveira, Leonardo Castro Klein, Ivandro Goldschmidt, Ronaldo Ribeiro Rofatto, Vinicius Francisco Defense Engineering Department Military Institute of Engineering Leonardo Castro de Oliveira Rio de Janeiro Brazil Defense Engineering Program Military Institute of Engineering Rio de Janeiro Brazil Graduate Program in Geodetic Sciences Federal University of Paraná Curitiba Brazil Dept. of Civil Construction Federal Institute of Santa Catarina Florianopolis Brazil Systems and Computing Program Military Institute of Engineering Rio de Janeiro Brazil Institute of Geography Federal University of Uberlândia Monte Carmelo Brazil

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Socrates, the CEO Robot 23

Socrates, the CEO Robot

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23rd International Conference for Production Research, ICPR 2015

作者： Wollmann, Dewey Steiner, Maria Teresinha Arns Steiner Neto, Pedro José Gouvea Da Costa, Sérgio Eduardo Pontifical Catholic University of Paraná Polytechnic School Graduate Program in Industrial Engineering and Systems Curitiba PR Brazil Federal University of Parana Graduate Program in Business Curitiba PR Brazil

An industrial enterprise in a competitive environment undergoing constant change, which wishes to be recognized as World Class, needs a management model that affords its executives a systemic vision. Aware of the need to define an effective and efficient model to manage a company, executives should always ask how it should be defined, implemented and continuously evaluated. In this context, the article presents a computer system, referred to herein as the Socrates CEO Robot, based on the scientific conceptual model (Complex Adaptive systems Integrating the Decision Making Process in industrial Companies) presented by Wollmann and Steiner (2014). The capacity of Socrates to aid the integrated and systemic decision process is verified in competitive business environments of the e-tangram business simulator. The results show that Socrates is capable of managing an industrial enterprise in a virtual competitive environment generated in a business simulator (usually referred to as a business game).

关键词： Neural networks

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Developing and testing a design process for sustainable indicators

Developing and testing a design process for sustainable indi...

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IIE Annual Conference and Expo 2014

作者： De Lima, Edson Pinheiro Machado, Carla G. Kluska, Rafael A. Hundzinski, Leandro N. Rocha, Letícia M. Da Silva, Elias H.D. Ribeiro Da Costa, Sergio E. Gouvea Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Federal University of Technology Parana Curitiba Brazil

ISBN: (纸本)9780983762430

In the last few decades the competitive context development trajectory is leading companies to increase their contribution for sustainable development. Stakeholders' accountability demands are being reflected in present multidisciplinary regulatory framework that is formed by standards, guidelines and guidance reports, and allows markets and society to have evidences from sustainable behavior, which is certified or formally agreed or signatory by companies. Operations strategy performance information could be addressed to a set of evolutionary performance indicators, which could represent sustainability present performance, and also could orient companies in reaching higher performance levels according to a preset maturity trajectory. The objective of this paper is to develop a process for generating an integrated set of performance measures for managing sustainability at value chain or operations system level. An applied research was conducted based on action research approach, operationalized by Cambridge process or engineering approach, and managed in research process management cycle. Performance measures are formally and detailed defined as metadata. Process application not only allows a better understanding on how sustainability indicators could be integrated and related to a maturity model, but also created an information system that could be used for auditing, assessment and reporting sustainability performance.

关键词： Sustainable development

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Profitability comparative analysis: A corporate sustainability index study

Profitability comparative analysis: A corporate sustainabili...

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IIE Annual Conference and Expo 2015

作者： Da Silva, Elias H.D. Ribeiro De Lima, Edson Pinheiro Da Costa, Sergio E. Gouvea Sant'Anna, Ângelo M. Oliveira Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Brazil Federal University of Technology - Parana Curitiba Brazil

ISBN: (纸本)9780983762447

Organizations have been striving to demonstrate to society their political of good social and environmental practices. Thus, socially responsible investments have been increasingly significantly, one of the reasons for increasing creation of indexes of corporate sustainability. Many studies have been done about the ISE - Corporate Sustainability Index - of BM&FBovespa, verifying if the portfolio composed of sustainable companies brings higher return to shareholders than other portfolios of regular companies. However, most of these researches focus on the stock value and there are few studies that give focus on fundamental analysis. The main purpose of this paper is to compare fundamentalist profitability indicators among a group of companies that compose the ISE index and a reference group, verifying if sustainable management improves business profitability and how it creates value for shareholders. The groups were compared and the evidences found show that despite the ISE have a differentiated theoretical portfolio, focused on social, environmental and ethical issues, the profitability of companies that compose the index is similar to or lower than the profitability of companies of the reference group. Nevertheless, the results show that the ISE Group has other ways to create shareholder value, as lower volatility and lower risk exposure.

关键词： Profitability

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