MxD partners with our top-tier partners, academic researchers, startups and the U.S. government to launch digital manufacturing projects with commercial potential.
Making every single part better than the last is a goal too big for any one company to reach on its own. Collaborative projects like these help our partners solve digital problems outside of their core competencies.
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Exploring Blockchain for Supply Chain Integrity
Managing a supply chain is an inherently difficult task. From determining authenticity, enabling traceability to protecting proprietary information – there are many moving parts that need to be kept track of. The transactions taking place between companies or even within one organization require trust and a certain level of transparency that ensures agreed upon criteria are being met consistently. As manufacturers increasingly move towards digitization and Industry 4.0, it is important that the systems and methods used can keep up with the growing rapidity and complexity of daily operations.
Tool Management System Feasibility Study
As the Joint Center of Excellence for Lethality, Picatinny Arsenal provides prototyping capability for multiple ammunition jacket forming processes. To support these preproduction runs, multiple sets of tools are ordered and used. Due to the nature of the facility, flexibility necessitates use of these tool sets for many projects, and they may be broken or otherwise consumed. If a part of a set of tools is consumed or in use on other runs, it could be weeks before new set of tools is delivered to the arsenal. MxD is looking to engage with a partner to deliver a system design for a tool management system for future implementation.
Jacket Forming Process Feasibility Study
As the Joint Center of Excellence for Lethality, Picatinny Arsenal provides prototyping capability for small caliber jacket forming. Increasing the critical quality data captured during the process and packaging it in a concise Technical Data Package (TDP) for transfer to full production sites will enhance project transitions to full rate production. MxD is looking to engage with a partner to perform a study of the current system and plan a solution for future implementation with the goal of the production sites having a fast ramp-up to production levels upon receipt of the TDP.
5G Cellular Technology for Industrial Facility IIoT Applications
This program seeks to establish a methodology to investigate and test the various types of 5G cellular architecture, 5G cybersecurity, and IOT applications of 5G wireless technology to determine the appropriate configuration for use in manufacturing facilities. Items such as wireless sensors, control systems, and related equipment will be tested within the facility over various conditions. Test results, lessons learned, and best practices will be made available for publication. The 5G system will also serve as an ongoing testbed for industry and DoD for additional use cases in the future.
Classification & Remediation of Defects using AI
Many quality control programs are based on digital inspection methods but utilize manual evaluations to classify and remediate defects. While manual inspections are useful in catching defects and errors, they have limitations that can negatively impact the quality, efficiency, and cost-effectiveness of production. When set up properly automated inspection techniques, such as machine vision or artificial intelligence, can empower inspectors by providing more consistent, efficient, and objective quality control. MxD is releasing a proposal to enable manufacturers to make educated and informed decisions about AI based automated inspection systems and increase the adoption of Industry 4.0 practices.
Project Number: 20-01-A
Supply Chain Enhancements
This project will develop and implement supply chain visibility tasks within the Critical Infrastructure Resilience Institute (CIRI) Cybersecure Dashboard.
Project Number: 20-17-01
Rapid and Secure Deployment of Medical Devices
MxD has partnered with Siemens and Fast Radius to demonstrate how 3D printing, rapid prototyping, and other digital technology can improve response times in the manufacture of point-of-care of medical devices.
Project Number: 20-11-04
Physics-Guided Machine Learning for CNC Milling
The University of Tennessee, Knoxville, and Third Wave Systems will optimize computer numerically controlled (CNC) machining parameters using a combination of physics-based models, in-process data, and machine learning to reduce scrapped parts.
Project Number: 20-11-11
Digital Twin Tool for Cybersecurity
The University of North Carolina at Charlotte and Siemens will develop a digital twin tool that enables manufacturers to run cybersecurity tests on virtual replicas of the physical machines and networks on their factory floor.
Project Number: 20-13-01
Docent Phase 3 – Technology Transfer
This phase of the project continues development of the Docent Manufacturing Readiness Assessment software tool with the key objective of establishing a commercial-ready solution with a baseline sustainability model for the support and growth of the tool.
Project Number: 20-05-01
Achieving Resilience Through Proactive Supply Chain Risk Management
This project will knit together best-in-class technology to produce a modularized machine learning-enabled software component (Dynamic Risk Mitigation Engine) that integrates supplier, bill-of-material, and event-based risk information to produce recommendations aimed at preventing supply chain disruptions before they happen.
Project Number: 20-04-01
Digital Transformation Toolkit for SMMs
This project will develop actionable resources to help small and medium manufacturers (SMMs) “get started” in digital manufacturing through implementing detailed case studies at SMM testbeds.
Project Number: 20-25-01
Pathfinder Phase II: Securing 3D Printers in Manufacturing
Phase II of the Pathfinder project covers the implementation of the security measures that have been identified during Phase I for the evaluation a Markforged 3D printer. During Phase II, the project team will continue to expand and increase security in the manufacturing and use of 3D printers in order to provide assurance for the machines to connect to enterprise networks.
Project Number: 19-13-05
Human Workflow Digital Twin: Fatigue and Motion Analyses
This project will develop a new framework for a human-centered digital twin by developing and demonstrating a viable means to measure worker motion and fatigue during manufacturing assembly tasks.
Project Number: 20-11-01
Securing Voice Control Technology in Manufacturing with Cross-Domain Authentication
Rutgers is partnering with Texas A&M Engineering Experiment Station (TEES) to develop new methods to secure voice control technology and help manufacturers defend themselves against voice-based cyber attacks.
Project Number: 20-11-13
Preserving Privacy in Smart Manufacturing Analytics
Penn State will partner with Siemens to develop a technique to help manufacturers reduce the risk of privacy breaches during model inversion cyberattacks. In such attacks, an adversary uses model output to steal sensitive raw data.
Project Number: 19-12-02
Enabling Cybersecurity for the Digital Manufacturing Supply Chain
Techsolve, Inc. will partner with Siemens and several other MxD partners to benchmark and evaluate the OT and IT cybersecurity tools currently available to small and medium-size manufacturers.
Project Number: 19-02-01
SMART: Standards for Metrology-Aided Robot Technology
Boeing is leading this project, which will use metrology to develop standards for enhanced precision of industrial robots. Team members from Boeing, API, Georgia Institute of Technology, Hexagon and Missouri University of Science and Technology will then evaluate the standards on two testbeds.
Project Number: 21-10-06
Understanding the Discrepancy Between the Design and Implementation of Inventory Policies
The Rochester Institute of Technology is partnering with Dow on a project to optimize how multi-echelon inventory policies are designed and implemented.
Project Number: 21-10-03
Use of Deep Learning to Analyze Product Lifecycle Data and Identify Errors
Penn State Applied Research Lab leads this project that aims to create a way to use deep learning, a subset of machine learning, to perform automated analyses of product lifecycle management (PLM) system components and detect data anomalies.
Project Number: 20-18-01
Using Digital Twin Technology to Plan for Emergencies
MxD is partnering with Illumina, Horizon Controls Group, the International Academy of Automation Engineering, and MIT to demonstrate how Digital Twin technology can improve the medical product industry’s resiliency during emergencies.
Project Number: 21-24-01
Local Health Alert System (LHAS)
The LHAS aims to capture users’ health indicators, translate those indicators to create a risk assessment, and use that risk assessment data to inform the public health supply chain about possible demand surges.
Project Number: 21-01-05
Cognitive On-demand Design Advisor (CODA)
Leveraging artificial intelligence and machine learning (AI/ML) cloud models developed with manufacturing data, CODA will help design engineers reduce engineering change orders (ECOs).
Project Number: 21-06-01
Scheduling for Manufacturing Applications in Real-Time (SMART)
This project will demonstrate the benefits of real-time closed-loop production scheduling for large-scale as well as small- and medium-sized manufacturers.
Project Number: 21-10-04
Secure Online Digital Twin Incorporating Physics-Aware Machine Learning for Additive Manufacturing
The goal of this project is development and deployment of an online digital twin framework that will securely, reliably, and efficiently deliver the best part quality possible in additive manufacturing.
Project Number: 21-11-04
Cybersecurity Solutions for SMMs’ Operational Technology Equipment
This project will identify the cybersecurity problems that small- and medium-sized manufacturers (SMMs) face with the increase in networked operational technology (OT) equipment on the factory floor. It will then recommend solutions and build a case for investment in cybersecurity infrastructure.
Project Number: 21-07-04
Secure Wireless for Factory Operation
This project will investigate the various wireless technologies that can be used for secure factory operation in industrial environments and will provide guidance via an interactive selection tool.
Project Number: 21-07-02
MxD Cyber-Secure Wireless Test Bed
This project will create an interactive test bed on MxD’s Factory Floor that will demonstrate the various wireless technologies available for secure factory operation in industrial environments.
Project Number: 21-26-01
Rx Product Marketplace Orchestrator
This project will create an online system to link consumers, manufacturers, and designers to meet urgent needs during healthcare emergencies that disrupt supply chains.
Project Number: 21-19-01
This project will create a software-based data-exchange platform to enable the sharing of technical information throughout a product’s lifecycle to securely increase collaboration among suppliers.
Reducing Waste in Manufacturing Large Die-Cast Parts
Discrete manufacturers waste material when die-casting complex metal parts.
Helping Businesses Counter Cyber-Attacks
More than half of all small-to-medium-size businesses have experienced a cyberattack in the last 12 months.
Cost Share Guidelines
MxD encourages contributions of voluntary or mandatory cost share to support the digital manufacturing institute ecosystem. Please review the Cost Share Guidelines to learn more or begin the cost share donation process here.
More Success Stories
1. Cybersecurity in the DoD Supply Chain
MxD sponsors a study to assess how small and medium-sized manufacturers are complying with DoD’s new cybersecurity rules.
2. Digitizing Legacy Machines
The National Center for Manufacturing Sciences leads a team to develop a sensor retrofit kit. The kit communicates data through an industry standard MTConnect interface to a cloud dashboard.
3. Defining Manufacturing Jobs of the Future
MxD and ManpowerGroup release a digital workforce taxonomy, a groundbreaking analysis that identifies 165 new data-centric manufacturing jobs—roles like “collaborative robotics technician” and “predictive maintenance systems specialist.”
4. Warning Manufacturers of Part, Materials Delays
Dow, Microsoft, ITAMCO, and two universities team up to build a supply chain risk alert system that will warn manufacturers further down the supply chain of delays caused by emergencies, weather, or natural disasters.
5. Digital Twin Testbed for Process Manufacturing
The process demonstration skid (PDS) built at the MxD Future Factory is accompanied by a full software stack designed to demonstrate the use of modern mobile technologies.
6. Pathfinder Phase I: Securing 3D Printers in Manufacturing
The project outcomes contained reporting documents such as, the System Security Plan which documents detailed system categorization and system boundaries along with a risk assessment report which is a workbook identifying current system vulnerabilities and security objectives and finally, a STIG checklist which provides a grading sale for each security technical implement guide (rule).
7. Supply Chain Risk Alert II (SCRA2)
A middleware platform (application) along with educational documentation such as reports, recorded demonstrations, and a best practice supply chain playbook.
8. Model-Based Systems Engineering for Digital Manufacturing: A Proof of Concept
The team developed a manufacturing/production system model to be integrated within a digital enterprise (data, models, etc.) that will provide decision-makers with a methodology aimed at capturing manufacturing and production system considerations in a model-based environment.
9. Smart Monitoring and Automated Real-Time Visual Inspection of Sealant Application (SMART VIStA)
The objective of the project is to develop a close-loop AI inspection system integrated with Digital Thread to provide timely, actionable insights about the quality of the current adhesive dots.
10. Cyber Threat Mission Builder
The team demonstrated the technological feasibility and validity of a threat intelligence-driven cyber threat mission builder.
Facts & Figures
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How many projects has MxD funded?
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More than 60 external projects across more than 35 states.
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How much has MxD invested in R&D projects?
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How does digitization improve a factory’s bottom line?
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Through operational efficiencies, predictive and preventative maintenance, better supply chain management, and inventory optimization.
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Are Industry 4.0, The Fourth Revolution and smart manufacturing the same thing?
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They boil down to the same concept: it’s all about applying information and communication technology to manufacturing.