Ford Wins 2013 INFORMS Prize for Company-Wide Efforts in Analytics and Data Science
DEARBORN, Mich., April 8, 2013 /PRNewswire/ --
Ford Motor Company (NYSE: F) today received the 2013 INFORMS Prize from the Institute for Operations Research and the Management Sciences. The award recognizes Ford's long-running, company-wide effort to use data science and predictive analytics to improve overall operations and performance.
Applying rigorous analytics, including machine learning, operations research, data mining and big data throughout the business has played a key role in the resurgence of Ford in the past seven years. When chief executive officer Alan Mulally came to Ford in 2006, he helped to expand and institutionalize data-driven decision making throughout all aspects of the company.
"Analytics and operations research was a major enabler of our turnaround and our ongoing success as a data-driven company," said Bob Shanks, Ford Motor Company executive vice president and chief financial officer. "Receiving the INFORMS Prize is recognition of the significant role and impact of analytics at Ford."
A long history of data
In the early 1980s Ford again took a leadership position in American industry as one of the first U.S. companies to implement statistical process control methods pioneered by W. Edwards Deming.
"We continue to build on our history of data-driven decision making," said John Ginder, manager, systems analytics and environmental sciences in Ford's Research and Innovation group. "Throughout the company, we're using data science to create smarter business strategies, make better product decisions, assist dealers to be more successful, and improve customer satisfaction."
Centers of excellence
Ford Motor Credit Company, the financing subsidiary of Ford, houses a major center of excellence in analytics. The Global Analytics team, established 20 years ago, developed proprietary scorecards to facilitate consumer and dealer lending and effective account management, and provides sophisticated analysis to support other areas of the business.
The Ford Marketing, Sales and Service Global Lifecycle Analytics team developed a range of models that help determine how to distribute cars to dealers and fleets, establish pricing and project residual values.
The Systems Analytics and Environmental Sciences group within Ford Research and Advanced Engineering harnesses the power of super-computing and advanced mathematics to mine big data, model market trends and optimize decisions.
Ford developed the Just-in-time Execution & Distribution Information system, or JEDI, to help schedule the production and delivery of body panels from stamping plants to assembly facilities when they are needed. This minimizes premium shipping and overtime expenses when there is a mismatch between supply and demand for parts.
One component of the Blueprint for Sustainability, the overarching framework that guides Ford's product, operational and social sustainability planning, is its CO2 stabilization target glidepath. Ford calculated the glidepath required to meet future CO2 emissions targets and projected the costs for various technologies – including diesel, hybrid and plug-in electric and hydrogen fuel cells – over the next two decades, then developed a strategy to meet those targets. In the near term, reducing weight and downsizing engines provides the biggest overall impact on CO2 emissions for the most customers at the best value. The data suggest that as technology improves and costs come down over time, consumer interest is likely to shift more toward plug-in electric vehicles and potentially hydrogen fuel cells.
"Social media and the vast amount of online conversation is helping us get a faster and more specific data set to help us make product decisions. We now use text-mining algorithms to formulate a more complete picture of what consumers want that is not available using traditional market research," said Michael Cavaretta, Ford technical leader for predictive analytics and data mining.
While developing the all-new 2013 Ford Escape, the vehicle engineering team made tens of thousands of decisions such as determining the liftgate configuration. Extensive analysis of customer satisfaction data was used to decide whether to retain the flip-glass system from the previous-generation Escape, adopt a power liftgate, or both.
"The picture that emerged was a four-to-one preference for power liftgates that could open and close with the touch of a button," added Cavaretta. "The result was a design that provided improved customer satisfaction while reducing manufacturing complexity and cost."
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SOURCE Ford Motor Company