YRC Freight Implements Network Optimization Plan Enhances service reliability, consistency with greater operational efficiencies PR Newswire OVERLAND PARK, Kan., May 21, 2013 OVERLAND PARK, Kan., May 21, 2013 /PRNewswire/ --YRC Freight, a subsidiary of YRC Worldwide (NASDAQ: YRCW), moves forward with continuous improvements, implementing a change in operations which will deliver even greater service reliability and consistency across their network. The network changes enhance operational efficiencies by increasing network density, reducing shipment touches, and reducing the number of empty miles. "Our primary goal is to provide our customers with consistent, reliable, damage-free service," said Jeff Rogers, president of YRC Freight. "The change in operations we are implementing today will give our customers an improved experience when they ship with us." A leader in North American LTL shipping, YRC Freight remains focused on continuous improvement efforts. The results of this directive are visible in its financial performance (three consecutive quarters of positive operating income), improved key safety measures, increased speed in more than 24,000 lanes, and investments in sustainability programs, such as the partnership with Clean Energy Fuels Corp. to test liquefied natural gas (LNG) trucks in the Port of Long Beach and other surrounding areas. About YRC Freight YRC Freight, a leading transporter of industrial, commercial and retail goods, specializes in less-than-truckload (LTL) shipping solutions for businesses. Based in Overland Park, Kan., YRC Freight provides comprehensive North American coverage and offers a broad portfolio of LTL services to bring flexibility and reliability to customers' supply chains. For more information, visit www.yrcfreight.com. Web site: www.yrcfreight.com Media Contact: Suzanne Dawson LAK Public Relations, Inc. 212-329-1420 firstname.lastname@example.org SOURCE YRC Worldwide; YRC Freight Website: http://www.yrcw.com Website: http://www.yrcfreight.com
YRC Freight Implements Network Optimization Plan
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