The Experts below are selected from a list of 291 Experts worldwide ranked by ideXlab platform
Osvaldo Luiz Gonçalves Quelhas - One of the best experts on this subject based on the ideXlab platform.
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Model Proposal for Diagnosis and Integration of Industry 4.0 Concepts in Production Engineering Courses
Sustainability, 2020Co-Authors: Rodrigo Gris De Souza, Osvaldo Luiz Gonçalves QuelhasAbstract:In Industry 4.0, people need to be able to handle the vast amount of information from machines. In this sense, for Industry 4.0, higher education institutions play a fundamental role. The methodology of this article sought to identify the knowledge required by Industry 4.0 in the literature; carry out a diagnosis of the courses currently offered by Brazilian universities and the need to incorporate new knowledge, and validate the model in a real application. The survey is classified as exploratory, bibliographic and qualitative, supported by bibliometric research. As a result of the research, we identified that the technical content of courses needs to be reviewed to meet Industry 4.0 demand. Sixty-three per cent of respondents were Production Engineering course coordinators; 70% of respondents considered that the disciplines of current Production Engineering courses were not adequate to enable the Production engineer to work in Industry 4.0. The priority knowledge for implementation in the curricula was identified as big data, advanced simulation, statistics for large amounts of information and virtual reality. It was also considered necessary to bring the industry closer to the universities. The model developed was applied and validated in a university that was evaluated with the highest score in the National Student Performance Exam (Enade).
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Production Engineering CURRICULUM IN INDUSTRY 4.0 IN A BRAZILIAN CONTEXT
South African Journal of Industrial Engineering, 2020Co-Authors: Rodrigo Gris De Souza, Osvaldo Luiz Gonçalves Quelhas, Gustavo Guimarães Marchisotti, Julio Vieira Neto, Rosley Anholon, C. MarinhoAbstract:Industry 4.0 has been discussed in the scientific community since its inception in 2011. Discussions have focused on characterising what Industry 4.0 is. This industry will increasingly require professionals to perform complex and indirect tasks, such as working together with machines in their daily work. This article aims to analyse the skills and competencies required by Industry 4.0, and to compare them with the scope of Production Engineering disciplines in six Brazilian universities. As a methodological option, the study is classified as exploratory, bibliographic, and qualitative. It is established that the current syllabus of Production Engineering courses of Brazilian universities needs to be improved, seeking alignment with the skills and competencies required by Industry 4.0. Although the Industry 4.0 theme is being discussed in the scientific field in Brazilian universities, it is not yet possible to identify any key actions taken to adjust and improve Production Engineering courses.
Sandro Wartzack - One of the best experts on this subject based on the ideXlab platform.
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Shaping the digital twin for design and Production Engineering
CIRP Annals - Manufacturing Technology, 2017Co-Authors: Benjamin Schleich, Luc Mathieu, Nabil Anwer, Sandro WartzackAbstract:The digitalization of manufacturing fuels the application of sophisticated virtual product models, which are referred to as digital twins, throughout all stages of product realization. Particularly, more realistic virtual models of manufactured products are essential to bridge the gap between design and manufacturing and to mirror the real and virtual worlds. In this paper, we propose a comprehensive reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing. In this regard, model conceptualization, representation, and implementation as well as applications along the product life-cycle are addressed. In today's highly competitive markets, the ambitions for shortening the time to market and for increasing the product development performance fuel the application of sophisticated virtual product models, which are frequently referred to as digital twins. Enabled by the digitalization of manufacturing, cyber-physical Production systems, model-based system Engineering, and a growing endeavour for data gathering and processing, these models are increasingly enriched with Production and operation data. Moreover, they allow the efficient prediction of the effects of product and process development as well as operating and servicing decisions on the product behaviour without the need for costly and time-expensive physical mock-ups [1-3]. Particularly in design, such realistic product models are essential to allow the early and efficient assessment of the consequences of design decisions on the quality and function of mechanical products. However, current approaches to the implementation of digital twins lack of a conceptual basis, which hinders the applicability of the digital twin vision to various activities in design and Production Engineering. Motivated by this need, this paper proposes a comprehensive reference model, which serves as a digital twin of the physical product in design and Production Engineering. In this regard, important model properties, such as scalability, interoperability, expansibility, and fidelity, as well as different operations on this reference model along the product life-cycle, such as composition, decomposition, conversion, and evaluation are addressed. Moreover, the application of this reference model to geometrical variations management is highlighted. The paper is structured as follows. In the next section, the vision of the digital twin and its evolution is reviewed. After that, a comprehensive reference model for the digital twin is introduced, which is then applied to geometrical variations management. Finally, a conclusion and an outlook are given.
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Shaping the digital twin for design and Production Engineering
CIRP Annals, 2017Co-Authors: Benjamin Schleich, Luc Mathieu, Nabil Anwer, Sandro WartzackAbstract:International audienceThe digitalization of manufacturing fuels the application of sophisticated virtual product models, which are referred to as digital twins, throughout all stages of product realization. Particularly, more realistic virtual models of manufactured products are essential to bridge the gap between design and manufacturing and to mirror the real and virtual worlds. In this paper, we propose a comprehensive reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing. In this regard, model conceptualization, representation, and implementation as well as applications along the product life-cycle are addressed. In today's highly competitive markets, the ambitions for shortening the time to market and for increasing the product development performance fuel the application of sophisticated virtual product models, which are frequently referred to as digital twins. Enabled by the digitalization of manufacturing, cyber-physical Production systems, model-based system Engineering, and a growing endeavour for data gathering and processing, these models are increasingly enriched with Production and operation data. Moreover, they allow the efficient prediction of the effects of product and process development as well as operating and servicing decisions on the product behaviour without the need for costly and time-expensive physical mock-ups [1-3]. Particularly in design, such realistic product models are essential to allow the early and efficient assessment of the consequences of design decisions on the quality and function of mechanical products. However, current approaches to the implementation of digital twins lack of a conceptual basis, which hinders the applicability of the digital twin vision to various activities in design and Production Engineering. Motivated by this need, this paper proposes a comprehensive reference model, which serves as a digital twin of the physical product in design and Production Engineering. In this regard, important model properties, such as scalability, interoperability, expansibility, and fidelity, as well as different operations on this reference model along the product life-cycle, such as composition, decomposition, conversion, and evaluation are addressed. Moreover, the application of this reference model to geometrical variations management is highlighted. The paper is structured as follows. In the next section, the vision of the digital twin and its evolution is reviewed. After that, a comprehensive reference model for the digital twin is introduced, which is then applied to geometrical variations management. Finally, a conclusion and an outlook are given
Rodrigo Gris De Souza - One of the best experts on this subject based on the ideXlab platform.
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Model Proposal for Diagnosis and Integration of Industry 4.0 Concepts in Production Engineering Courses
Sustainability, 2020Co-Authors: Rodrigo Gris De Souza, Osvaldo Luiz Gonçalves QuelhasAbstract:In Industry 4.0, people need to be able to handle the vast amount of information from machines. In this sense, for Industry 4.0, higher education institutions play a fundamental role. The methodology of this article sought to identify the knowledge required by Industry 4.0 in the literature; carry out a diagnosis of the courses currently offered by Brazilian universities and the need to incorporate new knowledge, and validate the model in a real application. The survey is classified as exploratory, bibliographic and qualitative, supported by bibliometric research. As a result of the research, we identified that the technical content of courses needs to be reviewed to meet Industry 4.0 demand. Sixty-three per cent of respondents were Production Engineering course coordinators; 70% of respondents considered that the disciplines of current Production Engineering courses were not adequate to enable the Production engineer to work in Industry 4.0. The priority knowledge for implementation in the curricula was identified as big data, advanced simulation, statistics for large amounts of information and virtual reality. It was also considered necessary to bring the industry closer to the universities. The model developed was applied and validated in a university that was evaluated with the highest score in the National Student Performance Exam (Enade).
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Production Engineering CURRICULUM IN INDUSTRY 4.0 IN A BRAZILIAN CONTEXT
South African Journal of Industrial Engineering, 2020Co-Authors: Rodrigo Gris De Souza, Osvaldo Luiz Gonçalves Quelhas, Gustavo Guimarães Marchisotti, Julio Vieira Neto, Rosley Anholon, C. MarinhoAbstract:Industry 4.0 has been discussed in the scientific community since its inception in 2011. Discussions have focused on characterising what Industry 4.0 is. This industry will increasingly require professionals to perform complex and indirect tasks, such as working together with machines in their daily work. This article aims to analyse the skills and competencies required by Industry 4.0, and to compare them with the scope of Production Engineering disciplines in six Brazilian universities. As a methodological option, the study is classified as exploratory, bibliographic, and qualitative. It is established that the current syllabus of Production Engineering courses of Brazilian universities needs to be improved, seeking alignment with the skills and competencies required by Industry 4.0. Although the Industry 4.0 theme is being discussed in the scientific field in Brazilian universities, it is not yet possible to identify any key actions taken to adjust and improve Production Engineering courses.
Benjamin Schleich - One of the best experts on this subject based on the ideXlab platform.
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Shaping the digital twin for design and Production Engineering
CIRP Annals - Manufacturing Technology, 2017Co-Authors: Benjamin Schleich, Luc Mathieu, Nabil Anwer, Sandro WartzackAbstract:The digitalization of manufacturing fuels the application of sophisticated virtual product models, which are referred to as digital twins, throughout all stages of product realization. Particularly, more realistic virtual models of manufactured products are essential to bridge the gap between design and manufacturing and to mirror the real and virtual worlds. In this paper, we propose a comprehensive reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing. In this regard, model conceptualization, representation, and implementation as well as applications along the product life-cycle are addressed. In today's highly competitive markets, the ambitions for shortening the time to market and for increasing the product development performance fuel the application of sophisticated virtual product models, which are frequently referred to as digital twins. Enabled by the digitalization of manufacturing, cyber-physical Production systems, model-based system Engineering, and a growing endeavour for data gathering and processing, these models are increasingly enriched with Production and operation data. Moreover, they allow the efficient prediction of the effects of product and process development as well as operating and servicing decisions on the product behaviour without the need for costly and time-expensive physical mock-ups [1-3]. Particularly in design, such realistic product models are essential to allow the early and efficient assessment of the consequences of design decisions on the quality and function of mechanical products. However, current approaches to the implementation of digital twins lack of a conceptual basis, which hinders the applicability of the digital twin vision to various activities in design and Production Engineering. Motivated by this need, this paper proposes a comprehensive reference model, which serves as a digital twin of the physical product in design and Production Engineering. In this regard, important model properties, such as scalability, interoperability, expansibility, and fidelity, as well as different operations on this reference model along the product life-cycle, such as composition, decomposition, conversion, and evaluation are addressed. Moreover, the application of this reference model to geometrical variations management is highlighted. The paper is structured as follows. In the next section, the vision of the digital twin and its evolution is reviewed. After that, a comprehensive reference model for the digital twin is introduced, which is then applied to geometrical variations management. Finally, a conclusion and an outlook are given.
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Shaping the digital twin for design and Production Engineering
CIRP Annals, 2017Co-Authors: Benjamin Schleich, Luc Mathieu, Nabil Anwer, Sandro WartzackAbstract:International audienceThe digitalization of manufacturing fuels the application of sophisticated virtual product models, which are referred to as digital twins, throughout all stages of product realization. Particularly, more realistic virtual models of manufactured products are essential to bridge the gap between design and manufacturing and to mirror the real and virtual worlds. In this paper, we propose a comprehensive reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing. In this regard, model conceptualization, representation, and implementation as well as applications along the product life-cycle are addressed. In today's highly competitive markets, the ambitions for shortening the time to market and for increasing the product development performance fuel the application of sophisticated virtual product models, which are frequently referred to as digital twins. Enabled by the digitalization of manufacturing, cyber-physical Production systems, model-based system Engineering, and a growing endeavour for data gathering and processing, these models are increasingly enriched with Production and operation data. Moreover, they allow the efficient prediction of the effects of product and process development as well as operating and servicing decisions on the product behaviour without the need for costly and time-expensive physical mock-ups [1-3]. Particularly in design, such realistic product models are essential to allow the early and efficient assessment of the consequences of design decisions on the quality and function of mechanical products. However, current approaches to the implementation of digital twins lack of a conceptual basis, which hinders the applicability of the digital twin vision to various activities in design and Production Engineering. Motivated by this need, this paper proposes a comprehensive reference model, which serves as a digital twin of the physical product in design and Production Engineering. In this regard, important model properties, such as scalability, interoperability, expansibility, and fidelity, as well as different operations on this reference model along the product life-cycle, such as composition, decomposition, conversion, and evaluation are addressed. Moreover, the application of this reference model to geometrical variations management is highlighted. The paper is structured as follows. In the next section, the vision of the digital twin and its evolution is reviewed. After that, a comprehensive reference model for the digital twin is introduced, which is then applied to geometrical variations management. Finally, a conclusion and an outlook are given
Luiz Oliveira Costa Neto - One of the best experts on this subject based on the ideXlab platform.
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Project and Work Organization in Solidarity Economy: A first Approach According to Production Engineering
2014Co-Authors: Nilo Serpa, Ivanir Costa, Oduvaldo Vendrametto, Luiz Oliveira Costa NetoAbstract:This article presents the possible contributions of Production Engineering to solidarity economy as regards projects and organization of work. The authors present logistics as the main channel of introduction to planning and organizing solidarity economy, seeking to show that the participation of Production Engineering leads to a breakage of some strains marked by neoliberalism, making evident the need of serious ecological concerns within the scope of the projects in that sector towards a cleaner Production. The authors also point out the impossibility of development of solidarity economy programs without well mapped processes that include environmental impact evaluations and environmental education as pillars of sustainability in any development program.
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APMS (2) - Project and Work Organization in Solidarity Economy: A first Approach According to Production Engineering
Progress in Pattern Recognition Image Analysis Computer Vision and Applications, 2014Co-Authors: Nilo Serpa, Ivanir Costa, Oduvaldo Vendrametto, Luiz Oliveira Costa NetoAbstract:This article presents the possible contributions of Production Engineering to solidarity economy as regards projects and organization of work. The authors present logistics as the main channel of introduction to planning and organizing solidarity economy, seeking to show that the participation of Production Engineering leads to a breakage of some strains marked by neoliberalism, making evident the need of serious ecological concerns within the scope of the projects in that sector towards a cleaner Production. The authors also point out the impossibility of development of solidarity economy programs without well mapped processes that include environmental impact evaluations and environmental education as pillars of sustainability in any development program.
