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Visualizing Diverse Flows - Revamping Process Maps for a Varied Product Portfolio
Scope of the internship:
Schlumberger’s Clamart campus is home to the electronics manufacturing of Well Production Systems (WPRS). The product line is now grouping its workshops together within the site, which should allow the team to dedicate closed rooms to critical activities, and to make the production flow more efficient. It also means that the existing process maps, such as value stream maps (VSM) and spaghetti diagrams, are to change radically. This offers a good occasion to revise how the team uses these process maps, and to adapt these tools to the unusually wide WPRS product portfolio. The proposed internship project consists of putting in place improved process mapping methods, based on industry best practices, adapted to the large number of product variants. A major challenge would be how to present the alternative flows, to facilitate analysis. While this project focuses only on the WPRS manufacturing activities, it should be documented in a way that can be later used by other manufacturing centers with similar portfolio.
The intern acquires knowledge about practical matching design. RF design challenges, PWB design and assembly, RF measurements and design validation.
The future intern will start their project by refreshing (or improving) their knowledge of Lean Six Sigma (LSS) tools. With the help of their supervisor, they will review published best practices, how these tools were adapted to different product portfolios by other companies. In the meantime, they will also spend time with the team to get to know our workshop and our products. The intern will have to select the practices that best fit our product portfolio and environment, with eventual improvements to better adapt them to the way we work. They should also suggest visualization tools to help our team understand the product flow, so they can make it more efficient. As part of the project, the intern should present the prepare maps for one of the product families, using the methods they proposed, based on data they collected themselves, with the help of the workshop team.