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
“How advanced analytics can address agricultural supply chain shocks,” McKinsey & Company, April 2022
“How Chinese consumers are changing shopping habits in response to COVID-19,” McKinsey & Company, May 2020
“How China’s consumer companies managed through the COVID-19 crisis: A virtual roundtable,” McKinsey & Company, March 2020
“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