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We are problem solvers.

Since 1984, Dayton Aerospace has provided senior-level, hands-on support to government and industry customers worldwide. Our team possesses the background and expertise necessary to develop tightly focused products to support all phases of the DOD acquisition life cycle.

Dayton Aerospace helps government and industry teams…

  • Develop successful acquisition strategies and guide effective industry capture planning

  • Build integrated, cohesive RFPs and innovative proposals that result in executable programs

  • Achieve performance, cost and schedule objectives and optimize availability and service life

  • Perform critical analysis to solve unique technical, programmatic, and financial challenges

Our Experts at a Glance

  • Prior senior military, government civilian, or high-level industry executives—involved with all US military services

  • Average 30+ years of experience in all technical and management disciplines essential to weapon system acquisition and sustainment

  • Former product, logistics and test center commanders

  • Hands-on experience as program executive officers (PEOs), system program directors (SPDs), product support managers (PSMs), and key program managers

  • Led functional offices at the program, center, and command-levels as director of contracting, law center director, chief engineer, and more

Defense Acquisition Experts
Airworthiness Certification Library

USAF MIL-HDBK-516 Airworthiness Certification Library

Looking for the latest USAF military airworthiness certification documents? All of the current, publicly releasable documents can be found here.

Recent News

Toward an Effective Fleet Management Strategy: Analysis Modeling to Evaluate Alternatives

November 22nd, 2019|

If effective fleet management is a complex exercise in managing competing priorities, then it is also an exercise in analytics—the scientific process of transforming data into insights for the purpose of making better decisions. A program manager’s challenge is finding the analytic “sweet spot” within analysis data requirements, complexity, flexibility, and speed. Finding that ideal position, to a large extent, hinges on the chosen analytic model’s construct. The wrong construct will yield unrealistic data requirements, as well as undue complexity, thereby limiting understanding and hindering explanation of model dynamics. Inadequate flexibility and speed will yield a model unresponsive to the program manager’s needs for forecasting...