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AI Software Tool optimizes supplier performance.

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February 25, 2014 - Based on stochastic Hidden Markov Model, Supplier Performance Monitor uses artificial intelligence and probability methods to evaluate existing mass data from ERP systems, including data on orders, deliveries, and cancellations as well as master, financial, and quality data. Users receive information on past, current, and future performance as well as status of specific measures and indicators. SPM system optimizes collaboration between all supply chain functions, revealing potential risks early.

BorgWarner Launches Sophisticated Software Tool To Optimize Supplier Performance


BorgWarner Inc.
3800 Automation Ave., Suite 500
Auburn Hills, MI, 48326
USA



Press release date: February 18, 2014

BorgWarner's Award-Winning Software Constantly Monitors Its Supply Chain to Significantly Improve Delivery, Reduce Risk and Simplify Processes

AUBURN HILLS, Mich., -- BorgWarner's Supplier Performance Monitor (SPM) system uses artificial intelligence and sophisticated mathematical theories to analyze current supplier performance and forecast future trends. The easy-to-install software can be transferred to new locations and improves supply chain response times significantly. Originally launched in Germany and Ireland, BorgWarner intends to implement the user-friendly software in the United States and other parts of Europe beginning in early 2014 followed by India and China later this year. BorgWarner's SPM system has been awarded several honors such as the Supply Chain Innovation Award 2012 and the VDA (German Automotive Industry Association) Logistics Award 2013.

"BorgWarner's Supplier Performance Monitor system analyzes actual data on quantity and delivery reliability, and significantly simplifies processes," said Brady Ericson, President and General Manager, BorgWarner BERU Systems. "We have received fantastic feedback from our suppliers on this ground-breaking innovation. The SPM system helps us jointly identify problems and proactively manage situations at an early stage."

To accommodate the dynamic global economy where suppliers must work in close partnership with their customers throughout the supply chain, BorgWarner developed the SPM system to optimize its supplier network as well as its own performance. Based on the stochastic Hidden Markov Model, BorgWarner's software tool uses artificial intelligence and probability methods to evaluate existing mass data from enterprise resource planning (ERP) systems including data on orders, deliveries and cancellations as well as master, financial and quality data. Users receive information on past, current and future performance as well as the status of specific measures and indicators. BorgWarner's SPM system improves collaboration between all supply chain functions by involving all suppliers, revealing potential risks early.

More than 90 percent of BorgWarner BERU Systems' suppliers currently participate in the SPM system, which has optimized delivery performance and reduced delivery times by 60 percent. In addition, BorgWarner BERU Systems achieved a 33 percent drop in parts failure (PPM) from suppliers in 2012 compared with the previous year.

About BorgWarner
BorgWarner Inc. (NYSE: BWA) is a product leader in highly engineered components and systems for powertrains around the world. Operating manufacturing and technical facilities in 56 locations in 19 countries, the company delivers innovative powertrain solutions to improve fuel economy, reduce emissions and enhance performance. For more information, please visit borgwarner.com.

CONTACT: Erika Nielsen, 248.754.0422

Web Site: http://www.borgwarner.com
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