SPEC Innovations supports the DoD, Joint Staff, and OSD with their mission from concept to operations, providing unparalleled success.
A Data-Driven Approach to Mission Engineering
"ME [Mission Engineering] is an analytical and data-driven approach to decompose and analyze the constituent parts of a mission in order to identify measurable trade-offs and draw conclusions." - Mission Engineering Guide from the Office of the Deputy Director for Engineering at OUSD. SPEC Innovations has always believed in taking a data-driven approach to mission engineering through our services to our software.
Concept of Operations
From Diagrams to Documents
Our experts provide high-level requirements documents and graphical representations of the CONOPS with full traceability to all connecting aspects of the lifecycle.
Future and Current Capabilities
Taking a systems approach, develop, analyze, and curate data to determine the systems or missions' current capabilities and technologies and deliver smart predictions of the future.
Define the Mission and Goals
After thorough analysis, our team utilizes a data-driven approach to defining the mission and goals and tracks rationales, and requirements, other determining factors with Innoslate.
Measuring Mission Success
Determining the MOE and MOS
The last step in the Mission Scenarios stage is to determine a target attribute to measure the overall success and effectiveness after the mission is complete.
Data-driven modeling is the future of model-based systems engineering. Effortlessly develop models that contain attributes in every object and maintain relationships throughout the system or system of system.
Analyze complex models with the Monte-Carlo simulator. Determine confidence levels of mission success and analyze the variance of the model's attributes and relationship classes, such as time, cost, and resources.
After modeling and simulation, perform a gap analysis to understand possible issues and risks that would prevent the mission from being effective or successful. Document in an Innoslate digital document to maintain traceability to the identified issues and risks.
To-Be & As-Is Architecture
We use a middle-out approach by determining the state of the mission as it is currently, then using the results of the gap analysis to determine the architecture of the desired state for the mission to succeed.
Analysis of Alternatives
The results of the mission engineering process starts with analyzing alternative architectures for the mission and deciding on the most optimal path for effectiveness.
The set of artifacts that contain the requirements such as CONOPs, functional, non-functional, interface, data exchange, verification, and more. And any related information such as rationale and constraints.
Data Curation and Traceability
Taking a data-driven approach to mission engineering simplifies the data-curation process by labeling the data so it is easy to search, tracking updates, and maintaining full traceability to all links and sources. AI in Innoslate can help determine accuracy and validity of the data.
The solution architecture phase provides the knowledge transfer of the curated data, the optimal architecture, and the requirements in a format that the stakeholders can understand and utilize to achieve mission success.