Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/2564
Title: Multi-Objective Optimization of System Capability Satisficing in Defense Acquisition
Authors: Brian J. Sauser
Jose E. Ramirez-Marquez
Keywords: System Capability
System Maturity Measure
System Readiness Level (SRL)
Optimization Model
Multifunction Multicapability (MFMC)
Issue Date: 16-Jan-2013
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Multi-Objective Optimization
SIT-AM-13-004
Abstract: Previous research in this area has developed, tested, and implemented a system maturity measure, i.e. 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 amongst multiple technologies with similar functionalities but different maturity levels and limited resources. Building upon these developments, this research asked: How can we efficiently and effectively allocate available resources to ensure the maturity achievement of critical functions and capabilities in an MFMC system when facing competing technology alternatives? To address this question, this work developed a multi-objective optimization model and solution approach that can be used to evaluate systems development maturity, track progress, identify component criticality, and form corresponding strategies for understanding trade-offs in technology and integration options.
Description: Acquisition Management / Grant-funded Research
URI: https://dair.nps.edu/handle/123456789/2564
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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