Emergent IV BAA - Amendment 40.pdf

AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 1

1. CONTRACT ID CODE

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4. REQUISITION/PURCHASE REQUISITION NUMBER

5. PROJECT NUMBER (If applicable) 2. AMENDMENT/MODIFICATION

6. ISSUED BY CODE

3. EFFECTIVE DA TE

06/2/2026 SP4701 7. ADMINISTERED BY (If other than Item 6) CODE I

DLA Contracting Services Office - Philadelphia

700 Robbins Ave. Same as Block 6

Philadelphia, PA 19111

Attn: R&D CONTRACTING TEAM

8. NAME AND ADDRESS OF CONTRACTOR (Number, street, county, State and ZIP Code) (X) 9A. AMENDMENT OF SOLICITATION NUMBER

BM0001-22

9B. DATED (SEE ITEM 11)

06/13/2022

10A. MODIFICATION OF CONTRACT/ORDER NUMBE

10B. DATED (SEE ITEM 13)

CODE I FACILITY CODE

11. THIS ITEM ONLY APPLIES TO AMENDMENTS OF SOLICITATIONS

D The above numbered solicitation is amended as set forth in Item 14. The hour and date specified for receipt of Offers D is extended. � is not extended.

Offers must acknowledge receipt of this amendment prior to the hour and date specified in the solicitation or as amended, by one of the following methods:

(a) By completing items 8 and 15, and returning _____ copies of the amendment; (b) By acknowledging receipt of this amendment on each copy of the offer submitted;

or (c) By separate letter or electronic communication which includes a reference to the solicitation and amendment numbers. FAILURE OF YOUR ACKNOWLEDGMENT TO BE RECEIVED AT THE PLACE DESIGNATED FOR THE RECEIPT OF OFFERS PRIOR TO THE HOUR AND DATE SPECIFIED MAY RESULT IN REJECTION OF YOUR OFFER. If by virtue of this amendment you desire to change an offer already submitted, such change may be made by letter or electronic communication, provided each letter or electronic communication makes reference to the solicitation and this amendment, and is received prior to the opening hour and date specified.

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IT MODIFIES THE CONTRACT/ORDER NUMBER AS DESCRIBED IN ITEM 14.

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See following pages

Except as provided herein, all terms and conditions of the document referenced in Item 9A or 1 0A, as heretofore changed, remains unchanged and in full force and effect.

15A. NAME AND TITLE OF SIGNER (Type or print) 16A. NAME AND TITLE OF CONTRACTING OFFICER (Type or print)

15B. CONTRACTOR/OFFEROR 15C. DATE SIGNED 16B. UNITED STATES OF AMERICA 16C. DATE SIGNED

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Previous edition unusable STANDARD FORM 30 (REV. 11/2016) Prescribed by GSA FAR (48 CFR) 53.243 paa3817 Cross-Out

BAA0001-22 – Emergent IV BAA, Amendment 40

BAA0001-22 Emergent IV BAA, dated June 13, 2022, is hereby amended as follows:

1. AOI C - ADDITIVE & ADVANCED MANUFACTURING (AM ADVM) is hereby updated in BAA0001-22 Emergent IV BAA.

ATTACHMENT B: AREAS OF INTEREST

A. Medical Logistics

Research shall focus on solutions to identify and resolve medical logistics that support challenges at low cost. The research may leverage existing commercial capabilities that will integrate commercial supply chain best practices and help forge strategic partnerships with critical customers, manufacturers, suppliers, and other Federal government stakeholders and industry groups. The research must enhance medical logistics capabilities in both peacetime and operational environments. Research is limited to non-pharmaceutical classes and shall be directed to the following subtopics: (i) Data analytics and operational intelligence capabilities (ii) Fair and reasonable pricing of products in the supply chain (iii) Clinical standardization of medical products.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research and Development Project Transition Information.

Technical R&D POC: Dr. Gloria Edwards, gloria.edwards@dla.mil

C. ADDITIVE & ADVANCED MANUFACTURING (AM ADVM)

DLA seeks innovative research and development proposals focused on the unique challenges of integrating Additive and Advanced Manufacturing (AdvM)—with an immediate and primary focus on Additive Manufacturing (AM)—across the Defense Logistics Agency (DLA) enterprise.

The goal is to resolve critical supply chain vulnerabilities, such as obsolete parts, long lead times, and the high cost of small-batch manufacturing, by leveraging the full spectrum of advanced manufacturing capabilities to improve Warfighter readiness in contested logistics environments.

DLA is soliciting white papers for projects that align with the core pillars of the AM Enterprise Charter: Precision, Posture, Partnerships, and People. Proposed solutions should contribute to a more agile, resilient, and efficient supply chain by addressing the specific technical areas below, which serve as a foundational model for the broader DOW Manufacturing ecosystem which includes the applications of subtractive. Hybrid, and additive manufacturing processes. Pillars of the program focus is applied research include to include Joint Force manufacturing that supports process for cross service collaboration that include the industrial bases. DLA MSC AM Ecosystem Modernization and optimization for manufacturing touch points. Critical Materials recovery for manufacturing feedstock.

mailto:gloria.edwards@dla.mil

Technical Areas of Interest

Offerors should propose solutions that align with one or more of the following technical areas.

These areas have been tailored to focus on AM / ADVM-centric challenges, distinct from other research topics in this BAA. The Pillars should address Joint Force Manufacturing - The Defense Industrial Base and the DLA AM Ecosystem- Depot Enterprise effort level.

Pillar 1: Precision — Establishing a Seamless AM / ADVM Digital Thread

• AM / ADVM-Specific Data and Digital Thread Management: Seeking solutions to establish and capitalize on a robust Digital Thread focused on product data for advanced and additive manufacturing. This includes managing digital data flows from initial design and material specification through manufacturing, post-processing, and quality validation.

We are interested in technologies that create an authoritative, traceable, and secure data package for each AM / ADVM part.

• Secure Licensing and Transfer of AM / ADVM Technical Data: Development of frameworks, potentially using blockchain or smart contracts, to manage intellectual property, licensing fees, and access permissions for AM / ADVM technical data packages.

This includes exploring methods to securely transmit build files to distributed advanced manufacturing sites.

• AM / ADVM Product Data Enhancement: Propose technologies for the high-fidelity conversion of 2D legacy drawings into 3D AM / ADVM-ready technical data packages (TDPs), ensuring all necessary Product and Manufacturing Information (PMI) is captured to accelerate part qualification and production across various advanced manufacturing modalities.

Pillar 2: Posture — Developing Agile and Multi-Capable AM / ADVM Strategies

• AI for Predictive AM / ADVM Candidate Identification: Seeking artificial intelligence and machine learning solutions designed to conduct predictive analysis across DLA’s inventory, supply chain metrics, and technical data to automatically identify and prioritize "hard-to-source" parts (e.g., obsolete, long lead time, high backorder) that are highly viable candidates for Advanced/Additive Manufacturing. Proposals should focus on multi-modal models capable of simultaneously evaluating economic feasibility (supply chain data) and technical printability (geometry, material requirements, and TDPs) to recommend immediate AM / ADVM interventions.

• Distributed and Forward-Edge Manufacturing Platforms: Seeking solutions for deployable advanced and additive manufacturing systems suitable for contested logistics environments (e.g., Logistics Enabling Nodes - LENs), self-contained mobile manufacturing platforms, and low-infrastructure solutions for austere environments.

• Sustainment of Legacy Systems via AM / ADVM: Development of rapid reverse engineering and qualification workflows for obsolete parts on critical legacy systems. This includes creating AM / ADVM-specific digital twins for predicting the performance and fatigue life of replacement parts produced via advanced manufacturing methods.

• AM / ADVM Material Reclamation and Derived Applications: Seeking solutions for point-of-need material reclamation and the conversion of scrap or end-of-life assets into viable feedstocks for advanced and additive manufacturing. Proposals should focus on utilizing reclaimed materials for specific downstream applications, including: the production of functional end-use parts, rapid prototyping, and industrial applications (such as advanced coatings and binders). This includes validating the performance and qualification pathways of these derived materials for DLA sustainment operations.

Pillar 3: Partnerships & Acceptability — Expanding Collaboration and Accelerating Part Acceptance

• Expedited AM / ADVM Source Approval and Acceptance Frameworks:

Development of frameworks for an expedited approval process for advanced manufacturing vendors and parts. This includes digital platforms for aggregating material certificates and building records, and AI-powered tools for automating compliance checks against military specifications. The goal is to reduce the cost and lead time of product acceptance for AM / ADVM.

• Remote Inspection for AM / ADVM: Technologies to enable remote inspection and acceptance of parts produced via advanced manufacturing, leveraging tools that can verify surface finish, dimensional accuracy, and internal structure to reduce lead times.

Pillar 4: People & Process Intelligence — Cultivating a Skilled Workforce and AM / ADVM- Specific Autonomous Systems

• AI for AM / ADVM Process Control and Optimization: Proposing AI-enhanced manufacturing systems capable of in-situ defect detection, real-time process adaptation, and generative design tailored for advanced manufacturing. The focus is on improving the reliability and performance of the manufacturing process itself.

• Advanced Hybrid Manufacturing Processes: Development of novel AM / ADVM platforms, such as hybrid additive-subtractive systems or those integrating closed-loop sensing and control, to produce parts with higher fidelity, tighter tolerances, and reduced post-processing needs.

• Autonomous / Robotics AM processing: Seeking solutions that integrate robotics and autonomous systems directly into the AM / ADVM workflow to enable "lights-out" or minimally supervised manufacturing. This includes automated part removal, robotic post-processing (e.g., support structure removal, machining, surface finishing), and autonomous material management (e.g., powder handling, automated build plate swapping). The goal is to reduce manual labor, increase production throughput, and improve safety in AM / ADVM operations.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research

Technical R&D POC: Lori Smith Mitchell, Lori.Smith-Mitchell@dla.mil.

D. Emerging Technologies to Enhance Part, Component and Logistical Product Data Granularity, Availability and Interoperability

Research must focus on developing solutions that support DoD’s Digital Engineering Strategy and Digital Modernization efforts for DLA by:

1. Using digital data in place of documents as the authoritative source of technical data;

2. Extending the model-based approach by incorporating digital engineering technologies and practices that connect business and technical data such as artificial intelligence, augmented realities, digital twin, and machine learning;

3. Providing a standards-based open system IT infrastructure that enables the digital thread, distributed manufacturing, advanced methods for cybersecurity, and protection of intellectual property; and

4. Preparing the workforce for change management and strategic communications necessary to transform DLA use of digital data.

1. Using digital data in place of documents as the authoritative source of data;

2. Extending the model-based approach by incorporating digital engineering technologies and practices that connect business and technical data;

3. Building Digital Twin of Organization (DTO) that simulates DLA’s business processes such as Acquire to Retire (A2R) and sub-processes such as supply chain (DTSC – Digital Twin of Supply Chain) that incorporates:

a. Human behavior in the business processes;

mailto:Lori.Smith-Mitchell@dla.mil

b. Technologies such as Machine Learning (ML), Artificial Intelligence (AI), Robotic Process Automation (RPA), etc.;

c. Real-time feedback loops to not only improve routine business processes but also predict abnormal situations such as supply chain disruptions;

4. Providing a standards-based open system IT infrastructure that enables the digital thread, distributed manufacturing, advanced methods for cybersecurity, and protection of intellectual property; and

5. Preparing the workforce for change management and strategic \ communications necessary to transform DLA use of digital data.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research

Technical R&D POC: Dr. Senthil Arul, Senthil.Arul@dla.mil.

E. Smart Connected Logistics

The Internet of Things (IoT) is often viewed as a network of linked devices. Each device is a smart, connected product characterized by its “awareness” of its state and its ability to communicate with other important “things” in its environment. Connectivity amplifies awareness and enables the device to be connected to many other devices and sources of data. DLA seeks projects that address connecting devices and users or systems to the data necessary to provide "cradle to grave" logistical sustainment; for example, the technology to acquire and organize the vast amount of data that will be supplied by these devices. The data must be transformed so it is coherent, relevant, and actionable by humans and machine-to-machine or system-to-system interfaces. To accomplish this, DLA expects a standard or open-source protocol solution that addresses a specific challenge that DLA currently faces. The data acquired from IoT devices will be independent from the constraints of the device suppliers or any singular data aggregator.

Technical R&D POCs: Dr. Barry Humphrey (Primary POC), Barry.Humphrey@dla.mil, and Dr. Senthil Arul, Senthil.Arul@dla.mil.

F. Anti-counterfeiting Technical Solution

Numerous reports and investigations have documented that there are counterfeit parts in DOD’s mailto:Senthil.Arul@dla.mil mailto:Barry.Humphrey@dla.mil mailto:Senthil.Arul@dla.mil

Supply Chain. In response to the threat, DLA is seeking research that focuses on providing a single low-cost anti- counterfeiting technical solution that can authenticate items in multiple Federal Supply Classes (FSCs) supporting various DLA supply chains. At a minimum, the single low-cost anti-counterfeiting technical solution must be effective in preventing counterfeits by authenticating items in all of the following FSCs:

1. FSC 5961 Semiconductor Devices.

2. FSC 5962 Microcircuits.

3. FSC 5935 Electrical Connectors.

4. FSC 4730 Fittings Hose, Pipe and Tube.

5. FSC 3110 Bearings, Anti-friction, Unmounted.

6. FSC 3120 Bearings, Plain, Unmounted.

7. FSC 2530 Vehicle Brake, Steer Axle, Wheel and Track Components.

8. FSC 2940 Engine Air and Oil Filters, Non-Aircraft.

9. FSC 2910 Engine Fuel System Components Non-Aircraft.

10. FSC 1680 Miscellaneous Aircraft Accessories and Components.

11. FSC 5330 Gaskets.

12. FSC 5331 O-Rings.

The research must also detail how the technical solution will be integrated into the supply chains of DLA suppliers (i.e., manufacturers, authorized distributions and independent distributors), the impact on the supply chains of implementing the technical solution, and the probability that DLA suppliers will adopt the technical solution.

Technical R&D POCs: Dr. Barry Humphrey, Barry.Humphrey@dla.mil.

G. Energy Research Program

Research shall focus on developing improvements to the DoD Class III Bulk Fuel Petroleum, Oil and Lubricants (POL) supply system. The research may include areas addressing, but not limited to, the following:

• Improvements to military acquisition specifications for POL, aerospace fuels/propellants and related products (e.g. additives);

• Development of new analytical methods, or improvements to existing methods, designed to determine product quality or identify anomalies;

• Enhancing military adoption and use of fuel products derived from alternatives to petroleum;

• Development of renewable energy technologies (e.g. wind, solar, hydro, geothermal) for military and government use;

• Improvements to DoD fuel storage, handling and distribution systems;

• Correction of known operational equipment issues connected to specification fuel use.

Technical POCs: Mr. Lindsey Hicks, Lindsey.Hicks@dla.mil.

Operational Energy Integration

DLA Energy’s ability to provide Petroleum Logistics in a contested environment presents unique challenges, will demand innovative solutions, assessment, and adaptation to provide rapid and continuous support to the warfighter especially in support of Expeditionary Advanced Based Operations (EABO).

Research should focus on potential ideas for enhancing the security and resilience of petroleum logistics in contested environments, recognizing that implementing these solutions will require collaboration between government agencies, private industry, and research institutions.

The research may include areas addressing, but not limited to, the following:

Resilient Infrastructure & Delivery:

• Mobile Refining & Modular Infrastructure: Invest in deployable, modular refining units and mobile fuel storage solutions to create a decentralized and agile network less susceptible to disruption.

• Autonomous Delivery Systems: Develop and deploy unmanned ground vehicles (UGVs) and drones for secure and efficient fuel transportation in high-risk zones, reducing reliance on vulnerable convoys.

Fuel Source Flexibility & Efficiency:

• Alternative Fuel Production: Research and develop technologies for producing synthetic fuels or alternative energy sources (e.g., hydrogen) from readily available mailto:Lindsey.Hicks@dla.mil feedstocks in theater, reducing dependence on traditional fossil fuel supply chains.

• Fuel Efficiency Optimization: Develop and implement technologies for real-time monitoring and optimization of fuel consumption in vehicles and equipment, extending operational range and minimizing logistical burdens.

• Energy Storage & Microgrids: Invest in advanced energy storage solutions and develop deployable microgrids to enhance operational resilience and reduce reliance on vulnerable power grids.

Advanced Materials & Manufacturing:

• Self-Sealing Fuel Tanks: Develop self-sealing materials for fuel tanks and containers to mitigate the impact of ballistic damage and minimize fuel loss in hostile environments.

• Additive Manufacturing for Spare Parts: Utilize 3D printing technologies to enable on-demand production of critical spare parts for fuel infrastructure and equipment, reducing reliance on vulnerable supply lines.

• Lightweight & Durable Materials: Research and develop lightweight, high-strength materials for constructing fuel containers, pipelines, and infrastructure, enhancing transportability and resilience.

Data Analytics & Predictive Modeling:

• Supply Chain Simulation & Wargaming: Develop sophisticated simulation environments to model and analyze various scenarios, optimize supply chain resilience, and enhance preparedness for potential disruptions.

• Dynamic Routing & Optimization: Develop algorithms and software for dynamic route planning and optimization, considering real-time threat assessments and fuel efficiency factors to ensure secure and efficient delivery.

• Predictive Maintenance for Infrastructure: Utilize data analytics and machine learning to develop predictive maintenance models for pipelines and other critical infrastructure, anticipated failures and minimizing downtime.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research and Development Project Transition Information.

Technical R&D POC: Guno Kletter, Guno.Kletter@dla.mil.

H. Artificial Intelligence/Machine Learning Applications mailto:Guno.Kletter@dla.mil

Responses shall focus on artificial intelligence (AI) or machine learning (ML) applications to aid in planning, acquisition, and technical/quality processes across the DLA Enterprise. The research may leverage commercial best-in-class concepts and practices that will integrate existing data and metrics with various AI or ML tools to provide narrowly focused solutions to specific challenges.

Due to security concerns with use of sensitive DLA data, projects that include processing of DLA data will be required to do so either (a) in the DLA R&D Azure cloud environment, or (b) on standalone computers with no internet access provided as Government Furnished Equipment (GFE) using data provided by DLA on CD-ROM media. No other access to DLA data will be allowed without a waiver from the DLA Chief Data Officer.

Research shall be directed to one or more of the following subtopics:

1. Business decision analytics.

2. Demand forecasting & inventory optimization.

3. Production lead time planning.

4. Supplier selection & supplier relationship management.

5. Contract drafting, execution, & management.

6. Diminishing manufacturing sources & material shortages.

7. Risk identification & management.

8. Counterfeit detection & avoidance.

9. eCommerce.

10. Cybersecurity.

11. Generative Artificial Intelligence:

a. Content Generation: The capability to generate text, image, content, code, video, or audio based on some given parameters or examples.

b. Data Manipulation: The capability to enhance or modify existing content or data (grammar, proofreading, tone change, style of image), data augmentation, anomaly detection, or model training.

c. Content Assistance: The capability of leveraging conversational agents, interactive design, or retrieval of documentation.

Technical R&D POCs: Dr. Barry Humphreys, Barry.Humphrey@dla.mil, and Ms. Laura Schreiber, Laura.Funk@dla.mil.

K. Lithium Battery Deactivation mailto:Laura.Funk@dla.mil

End of life rechargeable and non-rechargeable lithium batteries are currently handled and transported as hazardous waste. These batteries must be shipped according to international shipping regulations and packaging requirements, thereby incurring significant transportation and processing costs for their disposal. DLA seeks projects to implement a preferred lithium battery deactivation technology at key Continental U.S. (CONUS) and Outside the Continental U.S.

(OCONUS) locations. The goal is to install and commission local pilot processes to deactivate lithium batteries received from U.S. military installations for the purpose of recycling non-hazardous materials locally and shipping valuable battery materials back to the U.S. for further direct recycling. Projects will utilize already developed deactivation and partial disassembly technology designed for lithium-ion and primary lithium military batteries and include cost-share of all equipment costs – mobile, expeditionary systems are preferred. Projects will include collaboration with deactivation technology provider, identification of operational locations, training, transportation, set up and operation of equipment for the collection and processing of batteries for a period up to one year.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research

Technical R&D POC: Mr. Mather Hutchens, Matt.Hutchens@dla.mil.

L. Blockchain Logistics

Blockchain has become more than just a digital distributed ledger that is used for cryptocurrency.

Blockchain has become a system of recording information in ways that make it difficult or impossible to change, hack, or cheat the system. Within the supply chain blockchain can now be used to provide all parties within the supply chain with access to the same information which reduces communication or transfer data errors. Research in this area shall focus on ways to enable DLA to increase efficiency through process automation, transparency, traceability, and transaction verification more efficient. Research shall also focus on using this technology in order to make the supply chains more secure as the origin and authenticity of the data and products shared and providing a more secure means of collaboration between DLA and its customers and partners.”

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research

Technical R&D POC: Dr. Barry Humphrey, Barry.Humphrey@dla.mil.

M. Edge Computing

Edge computing is unique in that data is processed by the device itself or by a local computer or server, rather than being transmitted to a data center. Edge computing is important because it creates and improves ways for industrial and enterprise-level businesses to maximize operational efficiency, improve performance and safety, automate all core business processes, and ensures mailto:Matt.Hutchens@dla.mil availability at all times. Research in this area shall focus on the ability to digitally connect and automate DLA processes at the edge and allow for organizations within DLA to extend the reach and visibility of their supply chains. Research will also focus on using edge computing to reduce the amount of sensitive data that must be transmitted over networks and how to reduce supply chain vulnerabilities by reducing congestion within the DLA network.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research

Technical R&D POC: Dr. Barry Humphrey, Barry.Humphrey@dla.mil.

O. Human-Machine Teaming for the following DLA operational organizations –

Disposition Services Warehouse Management

Disposition Services Warehouse Management:

Response must focus on various ways to help ensure worker’s safety, efficiencies, and effectiveness in disposition warehouses by automating repetitive and mundane tasks and provide data on improved performance. The labor-saving devices must demonstrate a significant increase in improving disposal efficiencies, automated material transport within the warehouse, tracking and tracing of returned materials, the rate of palletizing and depalletizing of large containers and offloading of trucks. Technology must help prevent overexertion among human workers involved in lifting, moving, bending, stooping and synchronize well with human centered activities and business processes. Solutions must work autonomously in cleaning and vacuuming floors while neatly avoiding walls and obstacles. Technology must enable production efficiency simulations that reduce disorganization and unnecessary complexity in disposition warehouse planning and operations.

Technical R&D POC: Danielle Williams, Danielle.Williams@dla.mil.

P. Critical Emerging Technologies Transition and Adoption

In support of DLA strategic priorities and modernization initiatives, the Research and Development Program has interest in research to address Critical Emerging Technologies Transition and Adoption as follows:

1. Identify, test, pilot, and prototype emerging technologies and build collaborative partnerships to enhance efficacy, efficiency, and effectiveness.

mailto:Danielle.Williams@dla.mil

2. Forge Strategic Partnerships – Establish and nurture partnerships with industry, academia, and other organizations to leverage knowledge, resources, and expertise in the pursuit of innovation.

3. Promote a Culture of Early-Adoption of Emerging Technologies – Foster a culture within the organization that embraces change, encourages experimentation, and supports continuous learning and improvement.

4. Provide effective and efficient transition of programs from prototype to production.

This includes setting goals, timelines, milestones, roles, responsibilities, and deliverables for the transition of the program from the R&D environment into the line operations of DLA. Include but not be limited to:

• Conduct Enterprise user-centered needs analysis to define opportunities focused on emerging technologies.

• Lead or advise executive leadership on the launch of new technology initiative for adoption in production.

• Identify and align emerging technologies to Enterprise efforts for synergy.

Technical R&D POC: Maniphone ‘Mani’ Sourivong, Maniphone.Sourivong@dla.mil.

Q. Research for DLA Troop Support Construction and Equipment (Class IV), following three new areas of research

Troop Support Construction and Barrier Procurement Studies

Response must focus on various ways to consolidate short and medium-term global procurement challenges and requirements for Construction and Barrier Class IV (CLIV) supply chain materials for every CLIV Supplier found in-country to reduce cost, increase productivity, and provide predictable budgeting and CLIV inventory management. The labor-saving studies and authoritative databases provide proactive monitoring of the Trade Agreements Act (TAA) compliant CLIV suppliers in Geographic Combatant Commands’ area of responsibility to ensure continuity of sustainment in military construction. Solutions include country TAA designation and status including purchase thresholds, country-level customs information and domestic CLIV production capacity and imports, potential foreign ownership control and influence (FOCI) for every CLIV supplier in-country and closest alternative TAA-compliant vendors and materials.

Solutions must be contained in a menu-driven database where data is categorized by country, by CLIV material type, CLIV product type, National Stock Number (NSN) numbers and mailto:Maniphone.Sourivong@dla.mil comprehensive vendor profile per country with contact details, compliance validation information and details for flagged FOCI and other risks.

Shelf Life and Pre-hydration of Calcium Sulfoaluminate (CSA) Cement

The shelf life of calcium sulfoaluminate (CSA) cement depends on its CSA content, brand, and storage conditions. In general, CSA cement remains usable for at least six months, but due to pre-hydration issues, its long-term performance can be compromised. In practice, the shelf life of rapid-setting cementitious binders and mortars is typically limited to six months to one year, even when stored properly. Pre-hydration often manifests as hard lumps in the cement, reducing its hydraulic reactivity. DLA is looking at chemical improvements that enhance cement’s resistance to moisture uptake and other innovative cost-effective ways to produce cement with a shelf life of seven years.

Self-Consolidating Cementitious Systems for Ballistic-Damaged Airfields

Existing Airfield Damage Repair (ADR) approaches rely on heavy equipment, mixing infrastructure, vibration or imported aggregates. DLA is looking for a rapid, low logistics airfield damage repair solution that uses minimal to no equipment, allows for imperfect execution, tolerates seawater, brackish water, and gains rapid strength supporting aircraft operations in hours.

Solution must function on remote islands and austere bases with no electricity under extreme climatic conditions. Must be able to fix craters larger than 30 feet in diameter. Following clearance and minimal trimming, the missile crater could be filled with on-site fractured concrete and pavement debris. A highly flowable, self-consolidating cementitious binder is gravity-placed to infiltrate the crater mixing with the rubbles and water on-site resulting in a cement-stabilized composite. Performance targets include initial set in 15 minutes; walk-on time less than 90 minutes; compressive strength reaching 1,500 psi or higher in 2 hours and 3,000 psi in 4 hours or less.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research

Technical R&D POC: Dr. Imes Chiu, Imes.Chiu@dla.mil.

R. Develop and Validate a Novel High-Performance Graphite and Graphite-Oxide based Firefighting Foams for Critical Military Applications

The objective of this BAA topic is to solicit proposals for the research, development, testing, and validation of a next-generation, high-performance firefighting foam based on graphite and graphite-oxide technology. The proposed solution must serve as a direct replacement for legacy AFFF, demonstrating equivalent or superior firefighting capability.

mailto:Imes.Chiu@dla.mil

The foam must be cost-effective, environmentally friendly, and fully compatible with existing DoW firefighting equipment and infrastructure. Special emphasis will be placed on solutions that demonstrate robust performance in extreme cold-weather and saltwater environments, addressing the specific performance gaps identified in GAO-24-107322.

Offerors shall propose a comprehensive plan to develop and validate a novel graphite-based foam formulation. The proposal must, at a minimum, address the following technical requirements:

• Formulation Development: Describe the scientific approach and formulation of the proposed graphite-oxide based foam.

• Performance Testing in Extreme Environments: Include a detailed test plan to demonstrate the foam's effectiveness in both extreme cold (e.g., -20°C and below) and saltwater conditions.

• Military Specification Validation: The plan must include testing to validate the formulation against the criteria outlined in MIL-PRF-32725, with the modification of using saltwater instead of freshwater for all relevant tests. Testing should also address the performance of aged foam concentrate and various concentration levels.

• Large-Scale Operational Testing: Outline a plan for conducting large-scale, operationally relevant tests (e.g., simulated aircraft or fuel-tanker fires) using existing DoW-relevant firefighting equipment to validate performance and compatibility.

• Supply Chain and Manufacturing Plan: Provide a preliminary plan for scaling production, with a focus on integrating domestic material sources to ensure a secure and resilient supply chain.

• Environmental and Toxicological Analysis: Include a plan for comprehensive environmental and toxicological testing of the final formulation to verify its safety.

Technical R&D POC: Gloria Edwards, Gloria.Edwards@dla.mil

S. Rocket Cargo Experimentation and Space Logistics Integration

The objective of this BAA topic is to solicit proposals for the research, development, testing, and validation of the next-generation rocket cargo experimentation and space logistics integration. The Defense Logistics Agency Supply Chain Management and Sustainability Program in partnership with the United States Transportation Command (USTRANSCOM) Futures and Capabilities Branch is seeking sources capable of supporting the program’s research into the impact of space domain travel on cargo. The program is specifically interested in characterizing, quantifying, and mitigating the impact of the space environment on cargo. This research aims to observe, quantify, and mitigate issues encountered during launch, Low Earth Orbit (LEO) transit, and atmospheric reentry, ensuring the full functionality of payloads upon return to the Earth.

Cargo categories of particular interest for this study include rapid airway and port repair materials, medical equipment and supplies, pharmaceuticals, and blood components. The program seeks to characterize the occurrences of specific environmental effects on these critical construction and medical assets during all phases of space flight. By identifying the physical, thermal, and radiological stressors inherent in space-based transport, the joint initiative intends to develop novel approaches to improve cargo movement and survivability within this burgeoning logistics domain.

To achieve these goals, offeror must demonstrate experience working with the Department of War on space experiment techniques, specialized devices, and space delivery systems to include the diagnostics to measure system impacts and the evaluation of protective measures for sensitive cargo. The ultimate objective is to establish a comprehensive understanding of space flight profile's effect on cargo.

Efforts may also include transition of R&D Projects as outlined in Section, B.10 Research

Technical R&D POC: Dr. Imes Chiu, Imes.Chiu@dla.mil

2. All other terms and conditions in the BAA remain unchanged.