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Supply Chain, optimization, data analysis

Location:
Chicago, IL
Posted:
January 03, 2018

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Resume:

XINYI WU

********@*****.*** ● 814-***-**** ● https://www.linkedin.com/in/wuxinyi8

SUMMARY

Data & Supply Chain enthusiast with professional consulting with top-tier companies and extensive project experiences, strong academic background in optimization modeling, supply chain planning, applied statistical analysis, and discrete event simulation. A well-organized, detail-oriented and analytical team player & problem solver, strive for continuous improvement. EDUCATION

The Pennsylvania State University CGPA: 3.65/4.00 University Park, PA Industrial Engineering, M.Eng. (Dual Degree in Operations Research) 08/14 - 05/16 Publication: Fourier Trajectory Analysis for Identifying System Congestion (Link: https://goo.gl/y34Twq)

• An innovative approach of using Fourier Transform method, to convert and translate queuing system simulation output to millions of time series data; Achieved a more effective system status change identifying process.

• Proceedings of WSC (Winter Simulation Conference) 2016; Invited talk to INFORMS Annual Meeting 2016, IEEE 2017 Beijing University of Posts & Telecommunications (BUPT) CGPA: 3.35/4.00 (Top 15%) Beijing, China Logistics Engineering, B.E. 2010 - 2014

University Scholarship for Academic Performance and Merit Student for consecutive years 2011, 2012, 2013 WORKING EXPERIENCES

A.T. Kearney, Inc. (Greater Chicago Area) Supply Chain Consultant 07/16 – Present l Develop end-to-end supply chain optimization model for Fortune100 global industrial manufacturer, identify multi-million cost reduction opportunity and potential supply chain management strategy change along varied global supply chains l Clean & integrate large scale manufacturing data in collaboration with client’s cross functional groups l Develop ad hoc customized data transform/ analysis tools and templates with SQL & excel to facilitate clients’ future analysis l Maintain model and create scenarios to evaluate and quantify clients’ supply chain management strategy l Visualize and present modeling outputs and analysis to stakeholders, support managerial strategy with ad hoc analysis Intel Mobile Communications Technology (Beijing, China) Operations Assistant Intern 01/14 – 05/14 l Maintained on-site inventory of over 5k cellphone prototypes and tool sets for multiple global developing projects l Coordinated flow of protos with supplier and 3PLs, communicated with project managers globally on daily basis TECHNICAL SKILLS

PROJECT EXPERIENCES

LINKS Supply Chain Management Simulation Competition (Global Top 10) 08/15 – 10/15 l Operated end-to-end global multi-region and multi-sales channel 4-tier supply chain with multiple products in set-top box industry l Conducted market research, developed pricing strategy combined with internal cost control in support of both long and short-term demand forecasting, raw material procurement and finished goods production, distribution and inventory planning l Achieved the best financial performance, maintained the most sustainable market share around 13% throughout competition Integrated Production and Distribution Planning for Perishable Food (Highest Project Score) 11/15 – 12/15 l Developed production and distribution plan for perishable food in a network of 3 plants, 6 DCs, over a 30-day time window l Solved mixed integer linear programming (MILP) optimization model with 19,087 decision variables with GAMS l Optimized planning strategy with 80% less cost and 33% higher customer responsiveness Empirical Study on Municipal Bond Portfolio Management 11/15 – 12/15 l Built a non-preemptive goal programming (GP) portfolio management model for a pool of 7,767 sample municipal bonds drew from Bloomberg, replicating Morningstar bond index, solved by GAMS using CPLEX solver SAIC Motor NLE Engine Assembly Line Layout Design by Simulation 03/15 - 05/15 Shanghai Automation Industry Corporation

l Established NLE assembly line with 38 workstations simulation model with TecnoMatix l Optimized input buffer allocation design by implementing DOE methods and bottleneck analysis for 15% higher machine utilization, 20% higher output rate and less line congestion

Supply Chain Engineering Optimization Methodology Statistical Analysis Software Skills

• Forecasting Model • Linear Programming • Six Sigma • VBA, R, SQL, Tableau

• Network Optimization • Integer Programming • Time Series Analysis • Supply Chain Guru

• Production & Inventory Planning • Dynamic Programming • Design of Experiments • Data Guru

• Discrete Event Simulation • Multi-criteria Programming • Hypothesis Testing • GAMS, LINDO



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