About Ferran

Ferran is a trusted advisor to heavy-industries clients from the chemicals, metals and mining, power, and private-equity sectors. He helps executives strengthen their digital and analytical capabilities in pursuit of stronger productivity.

Since joining McKinsey in 2006, Ferran has honed his expertise in operations and machine learning while advising leading global companies. He has led numerous operations-improvement projects across Europe and North and South America, helping companies achieve top-notch operations.

In particular, he helps executives with throughput increase, yield improvement, operational-costs reduction, and purchasing and logistics optimization. He helps complex, large companies achieve success by applying rigor and advanced analytics to remove bottlenecks.

Examples of his work include the following:

  • using machine learning to improve availability, maintenance, throughput, and yield for a global specialty-chemicals and mining company, resulting in increased availability and reduced maintenance costs
  • creating a company-wide lean-management program for a global mining company, resulting in safety improvements and a 20 percent production increase while reducing costs
  • conducting a six-week cost-savings and throughput diagnostic for a Chilean mining company, identifying $100 million in savings
  • generating 25 percent cost savings in general and operational services for a mining company during the first wave of a purchasing transformation
  • using advanced analytics to optimize maintenance strategies in a North American open-pit-mine mobile fleet, resulting in a 12 percent maintenance cost reduction

Ferran has shared insights from his pioneering operational-transformation work in numerous McKinsey publications. A distinguished speaker at industry conferences, he covers cutting-edge topics in advanced analytics, productivity improvement, and operational transformation.

Before joining McKinsey, Ferran held several positions at General Electric in France, Germany, Spain, and the United States. He also led the global advanced-manufacturing engineering division at GE Wind Energy. Ferran is a Six Sigma Black Belt.

Published work

Mining for leadership with lean management, McKinsey & Company, March 2017

How digital innovation can improve mining productivity, McKinsey & Company, November 2015

Mining’s next performance horizon: Capturing productivity gains from innovation, McKinsey & Company, September 2015

Past experience

General Electric
Engineering manager, wind energy manufacturing

GE Wind Energy
Lean Black Belt

Education

École Centrale Paris
MS, engineering

UPC Barcelona
MS, engineering