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Multi-Objective Optimization of System Capability Satisficing in Defense Acquisition

Authors :
Sauser, Brian
Ramirez-Marquez, Jose E.
Acquisition Management
Other Research Faculty
Publication Year :
2012

Abstract

Proceedings Paper (for Acquisition Research Program) Under support from the Acquisition Research Program and government/industry partnerships, previous research has successfully developed, tested, and implemented a system maturity measure (i.e., a system readiness level [SRL]); supporting optimization models; and an enhanced SRL hierarchy for multi-function, multi-capability (MFMC) systems. The later developments are predicated on what has become the accustomed challenge for managers and engineers to properly assess systems'' development and acquisition to ensure the achievement of critical capabilities and functions while deciding among multiple technologies with similar functionalities but different maturity levels and limited resources. Building on these developments, the proposed research responds to the question: How can we efficiently and effectively allocate available resources to ensure the maturity achievement of critical functions and capabilities in a MFMC system when facing competing technology alternatives? As an answer, we propose the development of multi-objective optimization models and solution approaches that can be used to evaluate systems'' development maturity, to track progress, to identify component criticality, and to form corresponding strategies for understanding trade-offs in technology and integration options. Further, this effort summarizes and document the previous and proposed research in cooperation with industry and government partners to produce a comprehensive guidebook for public distribution on the proper application of this research in methods, processes, and tools (MPT) for defense acquisition. Naval Postgraduate School Acquisition Research Program Approved for public release; distribution is unlimited.

Details

Database :
OpenAIRE
Accession number :
edsair.dedup.wf.001..9c9328cf2ef05f90bf176dcf06f2156a