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Quality Data Co-op (Spring 2027)

BMW AG · Spartanburg, South Carolina, US · United States · On-site

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A good student experience is never hands-off. We are dedicated to fostering a dynamic learning environment where students actively engage in practical experiences throughout their time with us. From the beginning, students are entrusted with specific responsibilities, ensuring they play a significant role in their learning journey. As valued team members, students are also encouraged to share and implement their own ideas, enhancing both their personal growth and the collective success of the team. Description : Support the Assembly Test, Finish, Rework, and New Model Launch areas with the development of process improvements, innovations, and software tools. Engage in problem solving related to quality and process flow topics within the department. Collaborate with department management teams to iterate on existing concepts to improve transparency of the quality landscape, F1-F2 and Launch Processes, and Vehicle/Information Flow management. Also, envision the next generation of flow concepts and software tools, assessing their feasibility and potential benefits. Performs other duties as assigned by management. Assignment Duties Quality, Data Analytics, Problem Solving:  Engage in problem solving related to KPI impacts and quality. Develop new ways to display operations data that facilitate a faster and clearer path from problem recognition to solution. Participate in problem-solving activities to improve KPIs and develop new methods and tools. This may include developing new mobile software or hardware solutions to streamline the defect documentation process. Develop or enhance tools to improve visibility of plant quality process adherence and interface with existing plant quality management IT systems. Suggest and test new ideas that do not yet exist. Vehicle Flow Management:  Support management and quality teams to develop and enhance processes with software tools to manage offline vehicle flow more efficiently through multiple and complex testing and rework areas. Simplify and save labor by providing smarter tools to detect irregularities or inconsistencies in vehicle routing decisions to support faster resolution, feedback to issue sources, and improve on-time delivery. Vehicle Launch Preparations:  Support management and quality teams to enhance processes related to production, testing, and finishing in New Vehicle Launch processes. Dashboard Creation:  Create innovative dashboards to quantify, understand, and visualize the intricacies of launching future vehicles in Plant 10. Create process sheets for problem management and data quality activities Develop a tool to simulate process changes and impacts on vehicle flow, throughput times, and on-time delivery; test implementation where feasible Further develop Artificial Intelligence applications in Test, Finish, and Vehicle Launch areas Investigate innovation opportunities related to vehicle and information flow processes, such as developing a tool…