Joshua Schneider

• Collaborated with product management, sales, and marketing teams to develop long-term product forecasts based on market trends and macro-level factors

• Translated product demand forecasts into commodity demand forecasts in alignment with capacity, inventory, and supply chain constraints

• Validated and refined Bill of Materials with configuration engineering, and ensured accurate translation of product demand into commodity demand

• Drove continuous improvement of supply chain, product management, sales operations, and order fulfillment processes to ensure accountability and improve business performance

• Partnered with supply chain to optimize lead times, reduce inventory, and support investment request activities for assigned commodities

• Leveraged spares demand model to identify key improvement areas and drive stakeholder engagement

• Conducted recurring check-in meetings with product management and supply chain to proactively address yield issues, lifetime, and future product transitions

• Led process improvement initiatives resulting in increased capacity and throughput for manufacturing and logistics operations

• Acted as a Program Manager for Global Capacity planning across five factories to ensure proactive investment was made to enable cost-effective demand ramps

• Developed simulation models and decision support tools to enable informed decision-making processes for critical business initiatives

• Streamlined resource demand forecasting processes, resulting in weekly execution, analysis, validation, and reporting of capacity requirements for Tualatin manufacturing operations

• Automated metrics and KPI reporting to manufacturing management, including a Statistical Process Control system coded in R to identify the most effective areas for process improvement

• Collaborated with professors and graduate students to support applied and theoretical research projects

• Developed and implemented CPLEX code to benchmark an algorithm for reliable hub-and-spoke network problems

• Designed and implemented a more efficient method for recording indirect time study data from video recordings, contributing to an applied simulation study for Daimler Trucks North America.

• Contributed to a reduction in defect rates and improved product quality by implementing changes to a wax mold structure, enhancing its stress resilience through investing and casting processes

• Designed an experiment that identified the source of a dimensional defect, leading to an increase in process capability and a reduction in rework

• Taught statistical tools for analyzing dimensional metrology to other engineers, increasing their analytical capabilitie

• Identified high-risk ergonomic scenarios and proposed more sustainable processes for operator safety, demonstrating a keen awareness of safety considerations in engineering