Woolpert is excited to work with existing ELS clients to help them achieve even greater levels of efficiency
DAYTON, Ohio (PRWEB) June 23, 2014
Woolpert, a national geospatial, infrastructure management and design firm headquartered in Dayton, announced its acquisition of Electronic Logging System (ELS), the aviation industry’s leading software for airport operations management, record keeping and Federal Aviation Regulation (FAR) Part 139 compliance reporting from Landrum & Brown.
ELS expedites and automates for airport managers several critical functions, including labor-intensive inspection reporting tasks and collaborative processes required for airfield safety operations, compliance reporting and correcting FAR Part 139 discrepancies.
“Woolpert is excited to work with existing ELS clients to help them achieve even greater levels of efficiency,” said Tom Mochty, Woolpert’s senior vice president and aviation practice leader. “We also look forward to assisting new clients who have been looking for the right opportunity to modernize the tools in their operational toolkit.”
ELS simplifies record keeping on certification inspections and compliance with Federal Aviation Administration (FAA) requirements. The tool also offers a collaborative work platform and common operational picture for airport operations staff.
Additional system features include real-time Notice to Airmen (NOTAM) information workflows, vehicle tracking, wildlife-hazard reporting, Safety Management System (SMS) reporting and computerized maintenance-management system (CMMS) support.
“We intend to leverage our strengths in enterprise GIS, mobile data-management tools, integration of CMMS and related systems to further enhance the functionality of ELS,” said Kevin Shirer, Woolpert’s ELS program manager.
Woolpert is providing 24/7 support for existing users of the system, which has been continually improved since its original design by Landrum & Brown in 1997. The firm is currently working on advancing the system to enhance mobile capabilities and automate processes for SMS trend analysis.