ONHS Report: SP470126B0001

Military Unique Sustainment Technology III (MUST III) Research and Development SP4701-26-B-0001

Solicitation ID: SP470126B0001_

Agency: DLA/Research and Development

Type: Solicitation

Deadline: 2030-12-02T17:00:00 ET

Eligibility: Maybe (Unspecified)

Funding: Total government investment not to exceed $50 million over 5 years (Fiscal Years 2026-2030) to fund all contracts and projects.

Doc Type: BAA/IDIQ

Clearance: CUI

Program Manager: Andrea.Nicolucci@dla.mil

Last Updated: 2026-08-14 21:37

Analyzed File: SP4701-26-B-0001 MUST III BAA 002.pdf (with SF30 - Amendment 003.pdf)

Eligibility Reasoning

This is an unrestricted acquisition. All responsible sources capable of satisfying the Government’s needs will be considered by DLA. ... To be eligible for award, all prospective offerors must meet certain minimum standards... For additional information and guidance concerning qualifications and standards for responsibility of prospective contractors, please refer to Part 9 of the Federal Acquisition Regulation (FAR).

Note: This is an AI-generated summary...

Summary

The Defense Logistics Agency (DLA) is seeking research and development (R&D) partners for the Military Unique Sustainment Technology III (MUST III) program, a Department of Defense Manufacturing Technology initiative. The program aims to leverage commercial advancements in the clothing and textile industry, such as Industry 4.0/5.0 technologies, to modernize the design, engineering, and manufacturing of military Clothing and Individual Equipment (CIE). With a total planned investment of up to $50 million over five years, the BAA solicits proposals for short-term R&D projects (typically 3-24 months) across three primary technical areas of equal priority: 1) establishing 'Digital as an authoritative source' for product data through digital twins and model-based engineering; 2) enhancing 'Supply chain resilience' via adaptive manufacturing, predictive analytics, and surge readiness strategies; and 3) fostering 'Innovation in clothing and individual equipment' by exploring novel materials, advanced wearables, and automated production methods like 3D knitting. The government intends to award cost-type Indefinite Delivery, Indefinite Quantity (IDIQ) contracts to form a collaborative working group, as well as standalone project contracts, to enable rapid prototyping, scalable production, and cost-effective solutions for military textile applications.

Overall Technical Areas

Digital Twin & Thread TechnologiesModel-Based Systems EngineeringArtificial Intelligence / Machine LearningPredictive Analytics & SimulationAdvanced Manufacturing TechniquesAutomated Production & RoboticsNovel Materials & TextilesAdvanced Wearable TechnologiesPoint-of-Need ManufacturingDigital Technical Data ManagementProduct Lifecycle Management Systems3D Knitting TechnologyAugmented Reality ApplicationsIT Architecture & Cybersecurity

Probable LBNL Areas

CSAEESAESAETA

Focus Areas

Example Priorities:

Establishing a single, trusted digital version of clothing and individual equipment specifications, manufacturing data, and sourcing details to reduce errors, increase speed, and enable automation throughout the supply chain.
Emphasis should be placed on integrating model-based systems engineering, digital twins, and digital thread technologies.
Advanced technologies such as augmented reality, AI, and machine learning could be utilized to bridge business and technical workflows, enhancing accuracy and operational efficiency.
Establishing secure, “time of need” information sharing capability e.g. Application Program Interfaces to enable distribution of technical data over the product lifecycle.

Specific Technical Skills:

Model-Based Systems Engineering (MBSE)Digital TwinDigital ThreadProduct Lifecycle Management (PLM)Data InteroperabilityCybersecurityAugmented RealityArtificial IntelligenceMachine LearningApplication Programming Interfaces (API)

Potential PIs for this Area:

Name	Score	Organization
Talita Perciano Costa Leite	0.73	CSA \| SciData \| Data Science Research · Machine Learning
Michael Mahoney	0.73	CSA \| SciData \| Data Science Research · Machine Learning
Steven Hofmeyr	0.73	CSA \| AMCR \| Computer Science · Cybersecurity
Samuel Fernandes	0.72	ETA \| Building Tech. & Urban Sys. \| Whole Building Sys Dept · Digital Twin
Deborah Agarwal	0.72	CSA \| Computing · Data Interoperability
Anna Giannakou	0.72	CSA \| SciData \| Data Science Applications · Artificial Intelligence
Gregory Lemieux	0.71	EESA \| CESD \| Earth System Sciences · Application Programming Interfaces (API)
Arnur Nigmetov	0.70	CSA \| SciData \| Data Science Research · Digital Thread
Angelos Ioannou	0.70	CSA \| AMCR \| Computer Science · Augmented Reality
Thomas Hendrickson	0.69	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Product Lifecycle Management (PLM)

Example Priorities:

Developing and demonstrating adaptive manufacturing capabilities and buffer strategies—like material stockpiles or alternate sourcing—that help the industry continue operating during surge requirements, large-scale conflicts, disasters, or disruptions.
Research in this area could focus on mapping supply chains, identifying critical bottlenecks, or developing models to simulate and respond to various disruptions.
Tools like digital twin simulations of the supply chain and predictive analytics could be utilized to proactively address labor shortages, material delays, and capacity issues.
Develop capabilities to manufacture for low-volume or “made to measure” items, cost effectively with the very short lead-time needed to meet mission requirements (e.g. training goals).

Specific Technical Skills:

Supply Chain MappingPredictive AnalyticsSimulation and ModelingRisk ManagementIndustrial Base AnalysisSurge Capacity PlanningAdaptive ManufacturingLogistics ManagementLow-Volume ManufacturingMade-to-Measure Production

Potential PIs for this Area:

Name	Score	Organization
Thomas Hendrickson	0.74	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Industrial Base Analysis
Alex Newkirk	0.73	ETA \| Building Tech. & Urban Sys. \| Bldg & Industrial App Dpt · Industrial Base Analysis
Nica Campbell	0.72	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Risk Management
Alexander Sim	0.71	CSA \| SciData \| Data Science Research · Simulation and Modeling
Prakash Rao	0.71	ETA \| Building Tech. & Urban Sys. \| Bldg & Industrial App Dpt · Low-Volume Manufacturing
Unique Karki	0.71	ETA \| Building Tech. & Urban Sys. \| Bldg & Industrial App Dpt · Adaptive Manufacturing
Amol Phadke	0.71	ETA \| Energy Analysis \| Energy Markets & Planning · Surge Capacity Planning
Cristian Poliziani	0.71	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Logistics Management
Kelly Kissock	0.70	ETA \| Building Tech. & Urban Sys. \| Bldg Technologies Dept · Made-to-Measure Production
Satyarth Praveen	0.70	CSA \| SciData \| Data Science Applications · Predictive Analytics

Example Priorities:

Encouraging research and development in novel materials, garment designs, and production methods (e.g. 3D knitting, advanced wearables, automated sewing) to enhance the performance, comfort, and scalability of military clothing and individual equipment.
Research to encourage exploration into wearable technologies, self-healing fabrics, and automated production techniques such as 3D knitting and robotics.
This includes advanced manufacturing techniques. containerized and point-of-need manufacturing capabilities that allow rapid setup and deployment in remote or austere environments.
Digital representations of product lifecycles and materials performance, paired with a workforce trained in AI and digital tools, will ensure that new capabilities are both scalable and resilient.

Specific Technical Skills:

Materials ScienceTextile EngineeringWearable TechnologiesSelf-Healing FabricsAdvanced Manufacturing3D KnittingRoboticsAutomated SewingPoint-of-Need ManufacturingGarment Design

Potential PIs for this Area:

Name	Score	Organization
Francesco Ricci	0.75	ESA \| MSD \| Material Physics · Materials Science
Kristin Persson	0.75	ESA \| MSD \| Material Physics · Materials Science
Ting Xu	0.73	ESA \| MSD \| Material Physics · Self-Healing Fabrics
Ronald Pandolfi	0.72	CSA \| AMCR \| Mathematics · 3D Knitting
Minok Park	0.72	ETA \| ESDR \| Energy Storage & Dist Dpt · Advanced Manufacturing
Unique Karki	0.72	ETA \| Building Tech. & Urban Sys. \| Bldg & Industrial App Dpt · Garment Design
Kelly Kissock	0.72	ETA \| Building Tech. & Urban Sys. \| Bldg Technologies Dept · Textile Engineering
Prakash Rao	0.72	ETA \| Building Tech. & Urban Sys. \| Bldg & Industrial App Dpt · Robotics
Kenny Higa	0.72	ETA \| ESDR \| Energy Storage & Dist Dpt · Point-of-Need Manufacturing
Alan Meier	0.71	ETA \| Building Tech. & Urban Sys. \| Bldg Technologies Dept · Wearable Technologies

Potential LBNL PIs (Overall)

Note on PI Matching: These suggestions are generated through an AI-driven semantic analysis of LBNL staff profiles.

Name	Score	Organization
Gazi Mahmud	0.75	BSA \| Env. Genomics & Sys. Biology \| Molecular Ecosystems Bio · IT Architecture & Cybersecurity
Talita Perciano Costa Leite	0.75	CSA \| SciData \| Data Science Research · Artificial Intelligence / Machine Learning
Kenny Higa	0.75	ETA \| ESDR \| Energy Storage & Dist Dpt · Advanced Manufacturing Techniques
Thomas Hendrickson	0.73	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Product Lifecycle Management Systems
Prabal Dutta	0.73	ETA \| Building Tech. & Urban Sys. \| Bldg Technologies Dept · Digital Twin & Thread Technologies
Zachary Needell	0.73	ETA \| Energy Analysis \| Systems & Energy Tech Analysis · Predictive Analytics & Simulation
Alan Meier	0.73	ETA \| Building Tech. & Urban Sys. \| Bldg Technologies Dept · Advanced Wearable Technologies
Lane Martin	0.73	· Novel Materials & Textiles
Devarshi Ghoshal	0.73	CSA \| SciData \| Data Science Applications · Digital Technical Data Management
Gregory Lemieux	0.72	EESA \| CESD \| Earth System Sciences · Model-Based Systems Engineering

Fundamental Research Exemption (FRE)

(1) Defense articles or defense services included on the United States Munitions List set forth in the International Traffic in Arms Regulations under subchapter M of chapter I of title 22, Code of Federal Regulations;