About Xin

Since joining McKinsey, Xin has worked with leading companies across different sectors to design and implement end-to-end supply-chain transformations. Industries served include advanced industries, basic materials, chemicals, consumer goods, high tech, medical products, and pharmaceuticals.

Xin has served clients on wide range of supply-chain-management issues, including strategy design, forecasting, end-to-end planning, production scheduling, footprint optimization, distribution and logistics optimization, organization design, and capability building.

Xin also works with clients to design and implement digital supply-chain transformations with advanced analytics. Sample issues include automated planning, dynamic routing, multi-echelon supply-chain optimization, forecasting with advanced analytics, cost-to-serve optimization, real-time performance management, and transformation approach (including organization design) enabled by digital.

Prior to joining McKinsey, Xin was a consultant with Analytics Operations, focusing on helping companies to solve technical and complex operations problems.

Published work

Digital transformation: Raising supply-chain performance to new levels,” McKinsey & Company, November 2017

Digitization and advanced planning in CPG,” McKinsey & Company, April 2017

Bridging the Procurement-Supply Chain Divide,” Supply Chain Management Review, September 2012

Education

Massachusetts Institute of Technology
PhD, supply-chain management; MSc, electrical engineering

University of Waterloo
BMath, computer science