Developing a Human Performance Model Based Systems Engineering System Architecture (MBSE‐SA) for Defense Applications

Author:

Sarathi Tara1,Cyr Jillian1,Morris Heather1,DeLaura Rich1,Balcius James1,Collins Paula1,Shatz Michael1

Affiliation:

1. MIT Lincoln Laboratory 244 Wood St Lexington MA 02421

Abstract

AbstractThe military has limited means to objectively evaluate soldier and squad performance, leading to sub‐optimal operational, training, and acquisition decisions. Part of this limitation stems from the fact that the ability to monitor, predict, and enhance soldier and squad performance is a complex System of Systems (SoS) undertaking. To address this integration challenge, we developed a comprehensive conceptual framework that maps mission‐level success to measures of task effectiveness and human performance that quantify the impact of emerging technologies and interventions. In addition, by leveraging lessons learned from a previous effort that developed a Wearables MBSE system architecture (MBSE‐SA) and methodology for military health monitoring systems, we developed a Human Performance MBSE‐SA to capture and apply the conceptual framework, which provides the foundation for several system‐level and program‐level analyses, including gap identification. This paper presents the Human Performance MBSE‐SA and an illustration of its utility in showing the connections among ongoing military research efforts, strategic source requirements, and operational use cases.

Publisher

Wiley

Subject

Automotive Engineering

Reference10 articles.

1. ATP 3-21.8 Infantry Platoon and Squad Headquarters Department of the Army 2016.

2. DeLaura R Young W &Collins P 2018 ‘DOD wearables integration initiative roadmap final report project report PSM-11‘ MIT Lincoln Laboratory Lexington MA US

3. DorstK VermaasP ‘John Gero's Function-Behavior-Structure model of designing: a critical analysis’ Research in Engineering Design vol 16 2005 17–26.

4. Elkin-Frankston Ph.D. Seth & U.S. Army DEVCOM Soldier Center ‘Enhancing Data Drive Decision Making through Optimized Performance’ 2021.

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