6 results
Search Results
2. Quality–Cost–Environment Assessment of Sustainable Manufacturing of Photovoltaic Panels.
- Author
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Gawlik, Remigiusz, Siwiec, Dominika, and Pacana, Andrzej
- Subjects
- *
SUSTAINABILITY , *LIFE cycles (Biology) , *ANALYTIC hierarchy process , *PRODUCT life cycle assessment , *SUSTAINABLE development - Abstract
This paper aims to develop an integrated Quality–Cost–Environmental (QCE) indicator for the selection of photovoltaic panels (PVps) offered to customers, considering the following criteria: (i) quality satisfaction; (ii) cost-effectiveness; and (iii) environmental impact throughout the life cycle. The proposed QCE indicator was developed within a framework that incorporated an FAHP (Fuzzy Analytic Hierarchy Process), cost-effectiveness analysis (CEA), and life cycle assessment (LCA). The model test confirmed its effectiveness in choosing a PVp which combines environmental friendliness throughout its entire life cycle with satisfactory quality and a reasonable purchase price for customers. The proposed model can be utilized by individuals, businesses, and public entities for the selection of high-quality, cost-efficient, and environmentally friendly PVps—thereby promoting sustainable development. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Evaluation of the impact of gamification on students' performance and engagement in manufacturing engineering courses.
- Author
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Moliner-Heredia, Rubén and Abellán-Nebot, José V
- Subjects
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GAMIFICATION , *PRODUCTION engineering , *SCHOOL attendance - Abstract
In engineering courses with a large number of students, fail and dropout rates are usually high even in courses that can be expected to be interesting to the students. Gamification tools have arisen as an interesting way to motivate the students for a real continuous assessment, increasing the student's attendance and performance. In this paper, a gamification approach based on a Kahoot tool, Moodle activities, and commemorative badges is proposed within a manufacturing course. The designed activities let the students compete among themselves to get the maximum number of points, which will be converted into extra grades that are added to the final exam grade. The gamification experience has been proven to be highly positive according to students' and instructors' perceptions, and the average increase of pass rate and course attendance with respect to previous years have increased from 22% to 34% and from 38% to 66%, respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
4. Automatisierte Schweißnahtnachbehandlung für Offshore‐Windenergieanlagen.
- Author
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Dänekas, Christian, Heikebrügge, Steffen, Kulikowski, Jan, Heide, Klaas Maximilian, Schaumann, Peter, Breidenstein, Bernd, and Bergmann, Benjamin
- Subjects
- *
SUBMERGED arc welding , *FATIGUE limit , *BUTT welding , *MECHANICAL engineering , *PRODUCTION engineering , *STRUCTURAL steel , *WELDING equipment , *MATERIAL fatigue , *WIND turbines - Abstract
Automated post weld treatment for offshore wind turbines A more economical and resource‐saving construction of offshore wind energy converters (OWEC) is necessary in order to implement climate policy objectives. The increase of the fatigue resistance by using high‐strength steels and by applying post‐weld treatment methods offers great potential for reducing the use of materials and costs for monopiles. Specifically, in the automated OWEC manufacturing chain, automated processes such as deep rolling are a suitable option. Deep rolling is an established process in mechanical engineering for increasing the wear and fatigue resistance of metallic components. This paper presents results of deep rolling as a new post treatment method to increase the fatigue strength of welds. The surface and subsurface zone properties of submerged arc welded butt joints made of a structural steel grade S355MLO before and after deep rolling are shown. In order to quantify the influence of deep rolling on the weld geometry, measurements of a laser line sensor are presented. Finally, the results of fatigue tests are discussed, which show the great potential of the deep rolling process as a post weld treatment method. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
5. Formation of a project team of a mechanical engineering production based on cognitive models.
- Author
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Bondarenko, Yu. V., Azarnova, T. V., Kashirina, I. L., Averina, T. A., and Nguyen, Q. V.
- Subjects
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MECHANICAL engineers , *PRODUCTION engineering , *MECHANICAL engineering , *TEAM building , *ALGORITHMS - Abstract
The article is devoted to the development of models and an algorithm for forming the project team of a mechanical engineering enterprise. A feature of the proposed approach is taking into account the relationship of competencies when forming an assessment of the general competence of candidates. The presence of such links can lead to a change in the initial assessment of the competence of the team member during the implementation of the project. The paper proposes an algorithm for forming the composition of a project team based on cognitive models of competence. The algorithm is based on the initial assessment of each candidate and its subsequent refinement, taking into account the built cognitive model of competence and the competence influence matrix. To increase the objectivity of the initial assessment, it is proposed to use a set of tests selected on the basis of a two-criteria model of forming an effective test package. The model criteria are the minimization of the number of tests and the maximization of the quality of competency assessment. The results obtained are illustrated by the example of an IT project team. The developed software product allows you to automate the process of team building and replicate in various departments and projects of the enterprise. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
6. Computer vision application for mechanical engineering production manual operations control.
- Author
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Sitnikov, P., Gubinskiy, A., Ivaschenko, A., and Nikiforova, T.
- Subjects
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MECHANICAL engineering , *ARTIFICIAL intelligence , *PRODUCTION engineering , *APPLICATION software , *MECHANICAL engineers , *COMPUTER vision - Abstract
The paper presents an experience of computer vision technologies application at industrial production enterprise for manual operations identification and control. Computer vision intelligent module is implemented using an artificial neural network. Main attention is given to development of a harmonious artificial intelligence environment including both manual operators and intelligent modules. Special software and hardware is deployed to support the technological processes. An example of practical use is given for production of wires and accessories for automotive wiring harnesses in Samara region. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
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