Reverse Logistics : Process & Strategy

• Led a cross-functional team to analyze project timelines, assess risks, and hold owners accountable using an Action-Item-Decision Matrix in JIRA.

• Participated in vendor technology selection based on design, cost, and after-sales support.

• Designed an interactive product/process portfolio dashboard in Excel for machine transfer per project growth wave. This dashboard assessed product viability, revenue potential, and served as a master tracker for cross-functional teams.

• Coordinated with tooling and engineering to develop quotes for need-based tool improvements/corrections.

• Developed a 3-year forecast model in Excel and Power BI for press requirements based on existing and forecasted growth. This model translated growth into production hours, ensuring timely orders to address longer lead times.

• Designed and implemented a Pre-Move Product Assessment process to identify high-risk product lines early and apply low-cost corrective actions. This process saved an estimated $45,000 per tool and prevented customer disruptions.

• Led the transfer product launch at a new manufacturing location. Successfully transferred 6 product lines on time, achieved a 20% reduction in stock usage, maintained zero quality issues, and avoided customer disruption.

• Conducted SQL-based analysis on transfer inventory data against actual sales to optimize stock levels. This resulted in a 3% reduction in excess inventory and $350,000 in associated carrying costs.

• Developed an automated dashboard in Power BI to track safety stock status and product/process performance pre- and post-transfer. This dashboard reduced management review time by 65% and provided insights into improvements and challenges.

• Built an automated internal budget tracker in Excel. This real-time tool monitored project spending across categories, identifying potential overruns and enabling proactive cost mitigation.

• Developed a Financial Feasibility Model to compare Factory Automation and Traditional Manufacturing. This model considered space, labor, technology, pricing, equipment, and robots to determine the most cost-effective approach with the fastest payback period.

• Created a Count Predictor Model (CPM) in Excel. By analyzing molding & assembly processes, press numbers, production volume, and delivery timing, this model determined the optimal number of Mobile Industrial Robots (MIRs) needed for each project growth phase, optimizing resource allocation.

• Leveraged SQL to analyze packaging data, uncovering patterns in replenishment behavior. This analysis identified and implemented measures to save $682,000 annually by reducing over-ordering and optimizing stocking strategies.

• Defined design requirements and process for the Automatic Storage Retrieval Systems (ASRS) using Visio.

• Designed an optimized material delivery process flow using Visio. This flow utilized Autonomous Mobile Robots (AMRs) communicating with SAP and ASRS, enhancing efficiency and reducing manual intervention.

• Analyzed future customer requirements to understand potential supply chain risks.

• Developed Master root cause file tracker for real time visibility of potential roadblock part number.

• Worked with manufacturing sites/vendors to confirm ability to meet future demands.

• Worked with plants/vendors to develop mitigation plans & suggest allocation of parts between GE manufacturing sites.