MRLD
Making Robust Lifecycle Decisions
Making Robust Lifecycle Decision (MRLD or “emerald”) is an intuitive tradespace exploration software with 20-plus visualization tools. Developed collaboratively with the Air Force Research Lab, the MRLD software enables Multi-Attribute Tradespace Exploration (MATE), a scalable decision-analysis methodology. It addresses complex, multi-criteria decisions involving multiple stakeholders, dynamic contexts and uncertain futures where data complexity exceeds human cognitive ability. By evaluating potential solutions, MATE/MRLD provides key insights across various types of problems sets, making it a vital organizational capability.
Key Capabilities
Tradespace Analysis
Intuitive interface guides users through defining a value framework, generating alternative options and exploring data with extensive visualizations.
Existing Model Integration
External data is utilized for analysis, and a standard import option allows existing models to be leveraged.
Real-Time Collaboration
A web-based interface allows multiple users to work on the same project and see updates in real-time.
Value-Based Solutions
Value models capture stakeholder needs and priorities and are used to create a utility score that represents the “goodness” of an alternative.
Shared Understanding
Visualization tools can identify efficient and robust solutions across stakeholders and contexts and allow sensitivity analysis to find trade-offs and understand compromises.
Trusted Experience
Verified Pedigree
Methodology was developed at MIT and is rooted in value-focused thinking.
Customization
Flexible tool that can be used to conduct cost benefit analysis, analysis of alternatives and portfolio optimization.
Government-Owned Software
There are no licensing fees, and the software can be provided upon request.
Proven Application
MRLD has been used in efforts by Sustainable Aviation Fuel (SAF), the Air Force Research Laboratory (AFRL) Transformational Capabilities Office (TCO), and the F-35 Fleet Management Office (FMO).
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M8729-2023-KBR-06-2025