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Master Thesis: Value Analysis Value Engineering-(VAVE)

magnaelectronicssweden · 30+ days ago
Teknikringen 5
Negotiable
Full-time
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<p>At Magna Electronics, we are at the forefront of developing and manufacturing cutting-edge products such as cameras, radar, and other sensors for modern vehicles. Our mission is to lead the way in Advanced Driver Assistance Systems (ADAS) and the future of autonomous cars.<br></p><p>A thesis internship at Magna offers students the opportunity to delve into a high-tech automotive company. Throughout your internship, you will receive mentorship and guidance, allowing you to apply your theoretical knowledge to practical, real-world scenarios.</p><hr><p>Subject: <br>VAVE (Value Analysis Value Engineering) database</p><p><strong>Background:</strong><br>In the automotive industry, there is a relentless drive for efficiency and optimization. One effective strategy to achieve this is through VAVE (Value Analysis/Value Engineering. <br><br>At Magna Electronics, we have developed a robust process to forecast VAVE leads and monitor the implementation progress, comparing actual results with forecasts. This process relies on data from databases and reports generated from Excel, but it is resource-intensive and carries risks.<br></p><p><strong>Purpose:<br></strong>The purpose is to implement the systematization of the VAVE process effectively:</p><ul><li>Identify the relevant databases within Magna Electronics that contain the necessary data for VAVE analysis</li><li>Design an intuitive and user-friendly interface for the VAVE system</li><li>Develop a report that generates management reports for financial forecasting and follow-up</li><li>Document the process for using the VAVE system</li></ul><p><br></p><p><strong>Field: </strong><br>Engineering</p><hr><p><strong>Learning objectives:</strong><br></p><ul><li>Reports that generate management reports for financial forecasting and follow-up</li><li>Knowledge how to set up an intuitive and user-friendly interface</li><li>Understand and identify the databases that contain the necessary data for VAVE analysis</li><li>Understand product development and the optimization of products and processes</li></ul><hr><p><strong>Number of student(s): </strong>2</p><p><strong>Extent: </strong>30 credits (Master)<br></p><p><strong>Start:</strong> Spring 2025</p><p><strong>Location: </strong>Linköping</p><p><strong>Contact information and </strong><strong>Supervisor: </strong><br>Ola Axelsson, ola.axelsson@magna.com</p><p><br><strong>Last application date: </strong>2024-10-31, applications will be evaluated continuously.<br></p> •

Last updated on Oct 1, 2024

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