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Quantitative Endosurgery Process Analysis by Machine Learning Method Bojan Nokovic , Andrew Lambe (pages: 1-7) Modelling Student Performance in a Structural Steel Graduate-Based Module: A Comparative Analysis Between K-Nearest Neighbor and Dummy Classifiers Masengo Ilunga , Omphemetse Zimbili , Phahlani Mampilo , Agarwal Abhishek (pages: 8-15) Interoperable Digital Skills for Foreign Languages Education in the COVID-19 Paradigm Rusudan Makhachashvili , Ivan Semenist , Iryna Vorotnykova (pages: 16-20) Education, Training and Informatics Go Hand in Hand in (Foreign) Higher Education Institutions (HEIs) – Case Studies From Live and Online Classrooms Ekaterini Nikolarea (pages: 21-29) Enhancing Pedagogical and Digital Competencies Through Digital Tools: A Proposal for Semi-schooled Language Teaching Programs in Oaxaca, Mexico José de Jesús Bautista Hernández , Eduardo Bustos Farías , Norma Patricia Maldonado Reynoso (pages: 30-35) Railway Track Degradation Modelling Using Finite Element Analysis: A Case Study in South Africa Ntombela Lunga , Masengo Ilunga (pages: 36-50) Continuum of Academic Collaboration: Issues of Inconsistent Terminology in Multilingual Context Cristo Leon , James Lipuma , Marcos O. Cabobianco , Maria B. Daizo (pages: 51-62) Peat Resource Management and Climate Change Mitigation Issues – Case of Latvia Anita Titova , Natalja Lace (pages: 63-70) Using Geospatial Computation Intelligence for Mapping Temporal Evolution of Urban Built-up in Selected Areas of the Ekurhuleni Municipality, South Africa Jo-Anne Correia , Masengo Ilunga (pages: 71-80) Cybernetics and Informatics of Generative AI for Transdisciplinary Communication in Education Rusudan Makhachashvili , Ivan Semenist (pages: 81-88) Navigating Psychological Riptides: How Seafarers Cope and Seek Help for Mental Health Needs Coleen Abadicio , Stella Louise Arenas , Rosette Renee Hahn , Angel Berry Maleriado , Ramon Miguel Mariano , Rodolfo Antonio Ma. Zabella , Genejane Adarlo (pages: 89-98)
ABSTRACT
PLM-based Approach for Design Verification and Validation using Manufacturing Process Knowledge
Out of 100 hours of engineering work, only 20 are dedicated to
real engineering and 80 are spent on what is considered as
routine activities. Readjusting the ratio of innovative vs. routine
work is a considerable challenge in the product lifecycle
management (PLM) strategy. Therefore, the main objective is
to develop an approach in order to accelerate routine processes
in engineering design. The proposed methodology called FabK
consists of capturing manufacturing knowledge and its
application towards the design verification and validation of
new engineering designs. The approach is implemented into a
Web-based PLM prototype and a Computer Aided Design
system. A series of experiments from an industrial case study is
introduced to provide significant results.
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