# Project TDM — 3D Tech Data Modernization / Model Based Enterprise

**Program element:** 0603680S — Manufacturing Technology Program (ManTech)  
**Project:** TDM  
**Component:** Defense-Wide  
**Appropriation:** 0400 — RDT&E, Defense-Wide  
**Budget Activity:** 3 — Advanced Technology Development  
**Vintage:** President's Budget PB2027  
**Canonical URL:** https://hitchintel.com/programs/0603680S/TDM  
**Parent:** https://hitchintel.com/programs/0603680S

## Summary

Project TDM — 3D Tech Data Modernization / Model Based Enterprise requests $9.1M in FY2027, 18% of the $49.8M requested for program element 0603680S, down 93% on FY2026. 1 R-2A activity decomposes the request.

## Funding profile

| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 55.4 |
| FY2026 | Enacted | 136.3 |
| FY2027 | Request | 9.1 |
| FY2028 | Outyear | 9.3 |
| FY2029 | Outyear | 9.5 |
| FY2030 | Outyear | 9.7 |
| FY2031 | Outyear | 9.9 |

> Estimate types are not summed. This project is one leaf of PE 0603680S; the PE total is the sum of its projects, never added to them.

## What project TDM buys

The three-dimensional (3D) Technical Data Modernization (TDM) / Model-Based Enterprise (MBE) includes efforts to improve and facilitate the exchange of engineering and logistics information among DLA, the Military Services, industry partners, and customers. This LOE includes the Military Unique Sustainment Technology (MUST), the Defense Logistics Information Research (DLIR), and the Emerging Requirements (EMR) portfolios. A primary focus of this LOE is to capitalize on the emerging “Model Based Enterprise” paradigm and the semantic web as an enabler to a logistics system that is smart and connected and down the supply chain and across all DLA Customers and suppliers. A major focus is to transform DoW engineering data from two-dimensional paper-based products to three-dimensional computer-based models, and to develop processes to move from “electronic paper” (i.e. PDF files) to technical data files that can interface directly with industries’ engineering systems. The benefits include shorter product introduction cycles, lower set up costs for parts production and more economical small batch production. Objectives for this LOE include: 1. Transform technical data into modern, machine-usable, neutral formats: support DoW’s digital modernization efforts and provide significant readiness improvements. 2. Create a model-enabled knowledge base shared among DLA, the Military Services and industry: streamline the delivery of accurate requirements and high-quality material and end-items throughout the supply chain. 3. Quickly develop emergent and breakthrough technologies into military significant capabilities. The Military Unique Sustainment Technology (MUST) program addresses GAO Report 12-707 recommendations for DoW to establish a “knowledge-based approach” to define, communicate, and collaborate on military unique Combat Uniforms and Individual Equipment (CUIE) requirements. DLA has the responsibility to manage and maintain the technical requirements among the Services and the Defense Industrial Base. Currently there is no common environment for collaborating on new requirements among the stakeholders. The strategic objective of the DLA MUST program is to identify, develop, and adopt technologies that can significantly improve the joint process from transitioning new item development to DLA sustainment and operations.

## Activities (R-2A) — 1

| Activity | FY2025 | FY2026 | FY2027 | Move | Page |
|---|---|---|---|---|---|
| Three-dimensional (3D) Technical Data Modernization (TDM) / Model-Based Enterprise (MBE) (R&D LOE 2) | 10.4 | 8.8 | 9.1 | +3% | — |

> Activities carry the prior, current and budget year only — no five-year plan. In the request year they partition this project exactly; in earlier years they can under-cover it.

### Three-dimensional (3D) Technical Data Modernization (TDM) / Model-Based Enterprise (MBE) (R&D LOE 2)

**FY2027 planned work.** In FY 2027, MUST will be under a new Broad Agency Announcement (to be released in FY2026) that will broaden the scope of MUST, incorporating efforts to validate digital technical data as the authoritative source, supply chain resilience in clothing and individual equipment, innovation in clothing and individual equipment, and strengthening collaboration with DLA Troop Support Clothing & Textiles, JCTMI, AFFOA, and various other DoW and industry partners. In FY27, DLIR will transition several innovative sourcing and industrial base modernization initiatives from development into operational capability. The innovative sourcing portfolio including the Manufacturer Database, MOSAIC, and FILOS will reach completion and deliver integrated capabilities for identifying, analyzing, and connecting manufacturing suppliers to DLA sustainment requirements. These tools will support more rapid identification of qualified manufacturers, accelerate engineering-to-production transitions, and strengthen domestic supplier participation in defense sustainment activities. DLIR will also continue Phase II of the OIB Modernization initiative, expanding AI-enabled manufacturing data extraction and shop capability mapping across additional Organic Industrial Base facilities while advancing automated procurement capabilities. FY27 will also mark the initiation of several new and expanded capabilities designed to enhance processes, circular economy operations, and sustainment sourcing. DLIR will begin execution of the ProDex project, focused on digital twins. The Reclamation, Recovery, and Resupply (R3) initiative will transition from prototype development to operational deployment, enabling DLA Disposition Services to better identify and reuse recoverable assets across the supply chain. DLIR will also support the Venly and Peake Fellowship, further expanding innovative sourcing capabilities by improving access to manufacturing capacity and supplier networks. DLIR will also explore containerized manufacturing opportunities. Together, these efforts will strengthen DLA’s ability to identify suppliers, leverage existing assets, and improve sustainment responsiveness across the defense logistics enterprise.

**FY2026 to FY2027 change.** Slight increase due to inflation adjustment

**FY2026 plans — current year.** In FY 2026, MUST plans to continue the redevelopment of the Supply Request Package Tool to SharePoint Online, continue working with DLA Troop Support Clothing & Textiles on the adoption of the Interim Change Management Solution Tool, and further validate the AI based tools and technical data content in the digital model library (DML), which will continue to be expanded to make the DML information available throughout the supply chain. MUST continue to work with the Military Services to promote the use of data formats compatible with the digital document models and identify process touch points for the Joint Clothing & Textile Manufacturing Initiative (JCTMI). A new Broad Agency Announcement (BAA) will be issued to broaden the scope of MUST, incorporating expanded textile manufacturing efforts and strengthening collaboration with JCTMI and AFFOA. Under the new BAA MUST plans to include efforts utilizing containerized manufacturing at point-of-need, and improvements to the special measurements process of unique C&T items. In FY26, DLIR is expanding innovative sourcing capabilities while beginning integration planning to support sustainment and acquisition lifecycle activities. Efforts to enhance the Manufacturer Database are focused on expanding the number of manufacturers and capabilities represented in the system, incorporating additional company-level metadata, and developing more intuitive user dashboards to improve decision support for sourcing activities. MOSAIC enhancements will further refine AI algorithms that align engineering technical data with manufacturing capabilities, enabling faster transitions from design data to production solutions. Work is also underway to map military standards (MIL-STDs) to comparable commercial standards to broaden supplier participation and reduce barriers to entry for nontraditional manufacturers. FILOS development will continue expanding the pool of U.S.-based supplier options, improving sourcing flexibility and strengthening resilience against foreign supply chain dependencies. DLIR is also advancing Organic Industrial Base (OIB) modernization efforts in partnership with Air Force Materiel Command and Army TACOM. Phase I demonstrated the ability to apply AI and machine learning to automate manufacturing data extraction, streamline manufacturing catalogs, and improve shop capability matching. Phase II, currently undergoing government evaluation and funding approval, proposes to expand these capabilities to additional OIB facilities while introducing automated bid management functions and enhanced AI tools for data processing, automated bid generation, and financial system integration. In parallel, DLIR will continue efforts to pursue an Authority to Operate (ATO) for AR/VR-based remote expert capabilities, launch prototype development of the Reclamation, Recovery, and Resupply (R3) Lookup Tool for DLA Disposition Services, and finalize MSMM workforce development activities under the MxD CAPITAL project. The EMR program will continue to enable DLA's investigation of new disruptive technology advances that may be implemented in the nearer term, without degrading well established program efforts.

**FY2025 accomplishments.** MUST is working to further develop more powerful Artificial Intelligence based tools to incorporate interim change documents into base digital models, and to extract technical requirements from the digital models. Technical data content in the Digital Model Library (DML) is being expanded and the AI enhanced to make the DML information available throughout the supply chain. In addition, MUST is continuing to work with the Services to promote the use of data formats compatible with the digital document models and identify process touch points for the Joint Clothing & Textile Manufacturing Initiative (JCTMI). The digital document models can be efficiently managed (queried, analyzed, updated) and are capable of supplying data directly to test plans and manufacturing processes. Joint processes are currently being reengineered to take advantage of the digital model data. MUST is continuing to improve quality deficiency reporting at DLA Troop Support, and building new prototype tools and interfaces to improve digital model utility for the industrial base. In FY 2025, the DLIR program shifted its emphasis from digital engineering to digital manufacturing, prioritizing advanced manufacturing techniques and AI-driven large language models (LLMs) to strengthen the Defense and Organic Industrial Base. This strategic pivot aims to enhance supply network resilience through three interconnected initiatives focused on identifying alternative manufacturing sources to support weapon system sustainment and provide surge capacity. These efforts include: (1) Searchable Manufacturer Database: This initiative developed a comprehensive database mapping 84,000 manufacturers to approximately 1,400 predefined capability ontologies. Accessible to the broader DoD community, the database enables efficient identification of suppliers to support sustainment and surge requirements., (2) MOSAIC (Manufacturing Optimization & Supplier AI Connector): Leveraging machine learning, MOSAIC matches CAD data to manufacturing processes and suppliers, currently focusing on machining with a database of over 20,000 suppliers mapped to a predefined ontology. Designed for dual use by DoD/ DLA and private industries, MOSAIC enhances supplier selection and process optimization, and (3) FILOS (Flexible Industrial Logistics, Operations, and Supplier Networks): Utilizing generative AI, neuro-symbolic reasoning, and optimization, FILOS identifies U.S.-based suppliers to reduce reliance on foreign sources. This system enables flexible manufacturing to meet demand surges, bolstering operational resilience and responsiveness. DLIR will also advance Industry 4.0 and workforce development for Micro, Small, and Mid-Size Manufacturers (MSMMs) and pursue prototype development for remote expert capabilities using Augmented Reality/Virtual Reality (AR/VR), targeting Authority to Operate (ATO) certification. The EMR program will continue to enable DLA's investigation of new disruptive technology advances that may be implemented in the nearer term, without degrading well established program efforts. New funding has been received to develop domestic production of high purity nickel for use in Li-ion batteries.

## What is NOT on this page

Congressional marks, the R-2 mission description and acquisition strategy, the industry vs government split of the whole request, and related program elements are recorded at **program-element** grain — an NDAA mark lands on a PE, never on a project. They are at https://hitchintel.com/programs/0603680S.

## Source & machine access

- **Source:** FY2027 Office of the Secretary of Defense RDT&E Budget Justification, Exhibits R-2/R-2A/R-3, PE 0603680S project TDM (PB PB2027).
- **MCP:** `mcp.hitchintel.com` — `budget_get_program_element(pe="0603680S")`.

*HitchAI is an independent intelligence service, not affiliated with the U.S. Department of Defense. Budget figures are requests/estimates, not obligations.*