Inventory Management Quality Control

MAITREYA SANJAY RANJANE

602-***-**** • ********@***.*** • linkedin.com/in/maitreyaranjane/

EDUCATION

M.S. Industrial Engineering May 2024

Arizona State University, Tempe, AZ

B.E. Mechanical Engineering May 2021

Savitribai Phule Pune University, Pune, India

TECHNICAL SKILLS

Skills: SPC, Overall Equipment Effectiveness (OEE), OTD, Value Stream Mapping, Procurement, DoE, Quality Control, Process Control, DFM, Root Cause Analysis, CAD and GD&T, Inventory Management, FMEA, Material Requirement Planning. Data Analysis and Statistics: JMP, Minitab, SPSS (Hypothesis Test and ANOVA), Power BI, Tableau. Programming: AMPL, R, C++.

Database Management: Microsoft Access, SAP, SQL.

Certifications: Lean Six Sigma Green Belt, Data Science Using Python. (Link) EXPERIENCE

Manufacturing Engineer Volunteer, Arizona state University, United States, Aug 2024 - Present

• Delivered DFM (Design for Manufacturability) input to the design team, driving process optimization and yield improve- ments. Streamlined material selection and manufacturing techniques, reducing production time by 15%.

• Utilized AutoCAD for 2D conceptual line design and SolidWorks for 3D mechanical tooling design to develop a cus- tomized production line layout, optimizing equipment placement resulting in a 20% increase in production throughput.

• Developed a scalable manufacturing process that can adapt to increasing production demands, laying the groundwork for future growth and expansion of the product line.

Inventory Management Team Member, Follett Corporation, United States, Aug 2023 - Jan 2024

• Improved inventory management system by implementing "5S" lean methodology and Value Stream Mapping, reducing processing time by 25% and improving order fulfillment speed by 15%.

• Streamlined quality management system by implementing SPC reducing customer returns by 5% and significantly improving product consistency and Assure clear identification, physical control and competent disposition of nonconformities.

• Engineered and executed an item tracking system for efficient retrieval of online-ordered items from inventory, thereby reduc- ing retrieval time by 50% and enhancing operational excellence. Assistant Procurement Manager, Reliance JIO, India, Apr 2022 - Aug 2022

• Specialized in SAP Procure-to-Pay (P2P) process, including the creation of Purchase Requisitions (PR) and Purchase Orders

(PO), while leading the analytics team in the Procurement process.

• Developed Power BI dashboards using SAP MM data conducting ABC and XYZ analysis to categorize inventory leading to strategic procurement and 8% reduction in inventory costs, thereby boosting operational effectiveness.

• Conducted Spend analysis by analyzing Purchase Order history data on SAP to identify hidden tail, resulting in reduced procurement costs by 5%, improving supply efficiency, and monitoring compliance. Industrial Engineer, Nayan Engineers, India, Jun 2021 - Mar 2022

• Conducted PFMEA on sheet metal stamping machines to identify and mitigate potential failure modes like die misalignment, reducing defect rates by 30% and significantly enhancing production reliability.

• Collaborated with equipment integrators to design and manufacture custom automated fixtures, such as CNC-controlled welding jigs, for medium to high-volume sheet metal fabrication. resulting in a 25% increase in output capacity.

• Implemented Kanban System to streamline inventory management, reducing excess inventory by 30% and improving material flow efficiency, thereby reducing storage costs by 20%. PROJECTS

Operational Efficiency Analysis - Packmile Pvt. Ltd. - Arizona State University May 2023- Jul 2023

• Utilized planning tools like Workstation Constraints Reports, and GANTT charts to identify and address workstation constraints, resulting in a 20% improvement in operational efficiency.

• Monitored key bottlenecks and priority workstations throughout shifts, implementing real-time adjustments to maintain optimal efficiency and reduce production delays.

• Identified and resolved chronic inefficiencies through Continuous Improvement, staff training catalogues, and area-specific suggestions, reducing downtime by 15%.

• Implemented DoE and Excel for data-driven optimization of production schedules, utilizing regression analysis and scenario comparison to identify an optimal cell mix, achieving a 15% efficiency boost and 10% cycle time reduction. Design of Experiment - Arizona State University Jan 2023- May 2023

• Designed and executed a comprehensive experiment to optimize electric scooter battery performance by analyzing key factors impacting battery life, resulting in actionable insights that improved efficiency and extended battery lifespan.

• Analyzed the impact of design factors, including two-factor and three-factor interactions, using JMP to compute their effects on battery performance. This analysis provided valuable insights for optimizing design and extending battery life.

Contact this candidate