Lockheed Martin received a $92 million Performance Based Logistics (PBL) contract in December 2013 from the U.S. Army for sustainment of the AH-64 Apache helicopter Modernized Target Acquisition Designation Sight/Pilot Night Vision Sensor (M-TADS/PNVS) system.

The firm, fixed-price contract is the foundation for a comprehensive sustainment solution that enables M-TADS/PNVS mission readiness, reduces operation and support costs, and drives reliability and maintainability improvements.

This is the second of three one-year options that support the initial $111 million PBL contract awarded in 2012. The total four-year contract value is $375 million.

"The M-TADS/PNVS PBL program provides critical sustainment support to Apache pilots conducting missions around the world every day," said Mike Taylor, program director of M-TADS/PNVS international and support programs at Lockheed Martin Missiles and Fire Control.

M-TADS/PNVS provides Apache helicopter pilots long-range, precision engagement and pilotage capabilities for mission success and flight safety day or night, or in adverse weather conditions.

Forward-looking infrared sensors provide enhanced image resolution that enables Apache aircrews to prosecute targets and provide situational awareness in support of ground troops outside detection ranges. Lockheed Martin has delivered more than 1,200 M-TADS/PNVS systems to the U.S. Army and international customers.

The Apache M-TADS/PNVS PBL program provides efficiencies in supply chain management and critical sustainment support worldwide. During its peak operational tempo of more than 200,000 flying hours, the M-TADS/PNVS PBL program averaged a worldwide supply availability rate of 98 percent.

The Apache PBL team was honored with a 2013 Secretary of Defense PBL Award recognizing outstanding achievements in providing soldiers with exceptional operational support.

The M-TADS/PNVS PBL program received the subsystem level PBL award, which is one of three presented annually to recognize government/industry teams that have demonstrated outstanding achievements. The team was also selected for this award in 2011.