Abstract

With evolving technologies, changing requirements, and limited budgets, governments and industries need to consider new methodologies to help streamline program lifecycle management, from cradle to grave, to ensure projects are delivered on time, on budget, and to the expected performance standards. Traditional approaches fail to adequately address the added complexities of System of Systems programs such as integration, interoperability, and variable lifecycle of subcomponents. The objective of this study is to assess and address the research question - can a new acquisition approach be designed to address and improve program lifecycle management of complex systems? A comparison study, using the Modified Delphi Method, of this new approach to the traditional legacy systems engineering approaches of the Agile Framework, Evolutionary Acquisition, and Modular Open Systems Approach was conducted to validate the conceptual framework. The Genetic Acquisition strategy establishes an improved methodology to embrace uncertainty while focusing not only on the quantitative technology deployment but also the system's qualitative user adoption, thereby reducing risk to achieve cost, schedule, and performance objectives of a complex program. This ensures that any implemented technology remains "best-in-class" throughout the lifecycle of a program to address the gaps and historical failures identified through qualitative research.

Department(s)

Engineering Management and Systems Engineering

Publication Status

Early Access

Keywords and Phrases

acquisition; Artificial intelligence; artificial intelligence (AI); complex systems; Complex systems; Costs; decision-making under uncertainty; Government; leadership; Program management; Program management (PM); System of systems; systems of systems (SOS); Uncertainty

International Standard Serial Number (ISSN)

1937-4178; 0360-8581

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers; Technology & Engineering Management Society, All rights reserved.

Publication Date

01 Jan 2024

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