Industrial Engineer
Current• Analyze manufacturing systems/processes and present data outcomes to drive data-based decision making.• Complete project management efforts to include reporting to senior leaders on assignment progress, challenges, ROI, and next steps.• Utilize software environments as applicable for data analytics such as performance stability, confidence interval determination, outcome prediction, sample size determination, and simulation.• Gather data manually or via implementation of a measuring system such as time studies, data mining from systems, or through SAP.• Use lean principles such as waste identification and elimination, theory of constraints, and 1-piece flow to evaluate opportunities for improvement.• Develop assigned projects to meet strategic business objectives by including developing KPI’s, measurement system needs, resource requirements, and expected outcomes.• Implement business strategic initiatives in a sustainable manner by working with cross functional teams and communicating with key stakeholders.• Evaluate physical workstations and layouts for ergonomic improvements, waste, repeatability, visual management, and operator satisfaction.• Implement recommended material storage and presentation methods to the assembly line.• Build best-in-class predictive and prescriptive models considering business constraints.• Perform data integration, data set cleansing, and data analysis, and deploy analytical models through the development of scripts and custom workflows.• Monitor the performance and accuracy of existing data models.• Create proactive and reactive custom reports based on client needs.• Trouble issues, prepare summaries, document processes and workflows, propose solutions, and collaborate and communicate with internal team members.• Build and maintain trusted relationships with information managers, architects, and business units for knowledge sharing, mentoring, and training.
