https://cvelazquezr.netlify.app/tag/human-centred-manufacturing/Human-Centred ManufacturingWowchemy (https://wowchemy.com)en-usThu, 29 Oct 2026 00:00:00 +0000https://cvelazquezr.netlify.app/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.pnghttps://cvelazquezr.netlify.app/tag/human-centred-manufacturing/https://cvelazquezr.netlify.app/project/wellficiency/Thu, 29 Oct 2026 00:00:00 +0000https://cvelazquezr.netlify.app/project/wellficiency/<h2 id="about-the-project">About the project</h2> <p>Manufacturing is paying more and more attention to human centricity and the quality of working life. WellFiciency develops a methodology to <strong>monitor operator well-being continuously</strong> and to <strong>balance it with production efficiency</strong>.</p> <ul> <li><strong>Holistic measurement:</strong> physical measures, such as postural ergonomics and joint torques, are combined with cognitive measures, such as cognitive load, stress and engagement, at task level. Job-level and personal characteristics are added. Real-time sensor data is linked with feedback from short surveys and questionnaires.</li> <li><strong>A digital twin of operator well-being</strong>, built with privacy and ethics safeguards. It supports role-specific dashboards for operators, team leads and prevention advisors, and helps optimise task allocation and scheduling.</li> <li><strong>Validation with stakeholders</strong> throughout the project, using validation cases that reproduce real industrial challenges.</li> </ul> <table> <thead> <tr> <th>Key facts</th> <th></th> </tr> </thead> <tbody> <tr> <td><strong>Programme</strong></td> <td>Flanders Make SBO project</td> </tr> <tr> <td><strong>Duration</strong></td> <td>April 2023 – March 2027</td> </tr> <tr> <td><strong>Partners</strong></td> <td>Flanders Make, HIVA – KU Leuven and others</td> </tr> </tbody> </table> <h2 id="my-contributions">My contributions</h2> <p>I am responsible for the <strong>end-to-end data pipeline for fatigue estimation and recovery recommendations</strong>, based on data collected from wearable sensors:</p> <ul> <li><strong>Integration of the team&rsquo;s components</strong> into a single, operational pipeline.</li> <li><strong>Science-based well-being metrics</strong> that turn sensor and task data into practical recommendations.</li> <li><strong>Validation in near-industrial settings</strong>, preparing the solution for use with industrial partners.</li> </ul> <p><em>Technologies: data pipelines, sensor data processing, ergonomics and human-factors analytics.</em></p>