MxD Projects

The LHAS aimed 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.

Leveraging artificial intelligence and machine learning (AI/ML) cloud models developed with manufacturing data, CODA helps design engineers reduce engineering change orders (ECOs).

This project’s goal was to survey, document, and provide guidance on implementation of state-of-the-art options for cybersecurity protection in a private 5G network system.

This project investigated disparities between designed multi-echelon inventory policies and their implementation and developed ways to mitigate them by improving policy design input or providing tools for better execution.

The goal of this project was to objectively determine an optimal configuration of 5G  for industrial buildings — specifically for industrial internet of things (IIoT) and digital applications — and to make this information publicly available for broad use including by the Department of Defense (DoD).

This project delivered an unbiased guidebook that 1) directs manufacturers on how to implement wireless network architecture in industrial facilities and 2) provides instruction on how to transition existing wired architecture to a 5G wireless network.

This project created and implemented a private 5G system on MxD’s factory floor that served as the base for a testbed and demonstrated and assessed 5G wireless network configurations for industrial applications.

This project will develop and implement supply chain visibility tasks within the Critical Infrastructure Resilience Institute (CIRI) Cybersecure Dashboard. CIRI is a Department of Homeland Security Center of Excellence research organization with a mission to positively impact the security and resilience of critical infrastructure around the nation.

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.

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.

The team demonstrated the technological feasibility and validity of a threat intelligence-driven cyber threat mission builder.

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.

The goal of this project was to develop an open architecture digital twin testbed enabling “plug-and-play” interoperability with technologies from various vendors for sensing, data aggregation, analytics, and control.

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.

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).

A middleware platform (application) along with educational documentation such as reports, recorded demonstrations, and a best practice supply chain playbook.

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.

MxD sponsors a study to assess how small and medium-sized manufacturers are complying with DoD’s new cybersecurity rules.

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.”

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.

The project team delivered a prototype Technical Data as a Service (TDaaS) solution that streamlines and enhances the management and utilization of technical data packages (TDPs) for a large manufacturer and its extensive ecosystem of suppliers and partners.

The Collaboration Project Team will develop a secure communication framework enabling virtual verification and validation of parts across additive manufacturing (AM) types and platforms. This includes universal data, types of sensors available per machine, sampling rate, and interdependence data.

The LHAS aimed 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.

Leveraging artificial intelligence and machine learning (AI/ML) cloud models developed with manufacturing data, CODA helps design engineers reduce engineering change orders (ECOs).

This project’s goal was to survey, document, and provide guidance on implementation of state-of-the-art options for cybersecurity protection in a private 5G network system.

This project investigated disparities between designed multi-echelon inventory policies and their implementation and developed ways to mitigate them by improving policy design input or providing tools for better execution.

The goal of this project was to objectively determine an optimal configuration of 5G  for industrial buildings — specifically for industrial internet of things (IIoT) and digital applications — and to make this information publicly available for broad use including by the Department of Defense (DoD).

This project delivered an unbiased guidebook that 1) directs manufacturers on how to implement wireless network architecture in industrial facilities and 2) provides instruction on how to transition existing wired architecture to a 5G wireless network.

This project created and implemented a private 5G system on MxD’s factory floor that served as the base for a testbed and demonstrated and assessed 5G wireless network configurations for industrial applications.

This project will develop and implement supply chain visibility tasks within the Critical Infrastructure Resilience Institute (CIRI) Cybersecure Dashboard. CIRI is a Department of Homeland Security Center of Excellence research organization with a mission to positively impact the security and resilience of critical infrastructure around the nation.

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.

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.

The team demonstrated the technological feasibility and validity of a threat intelligence-driven cyber threat mission builder.

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.

The goal of this project was to develop an open architecture digital twin testbed enabling “plug-and-play” interoperability with technologies from various vendors for sensing, data aggregation, analytics, and control.

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.

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).

A middleware platform (application) along with educational documentation such as reports, recorded demonstrations, and a best practice supply chain playbook.

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.

MxD sponsors a study to assess how small and medium-sized manufacturers are complying with DoD’s new cybersecurity rules.

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.”

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.

This project’s goal was to survey, document, and provide guidance on implementation of state-of-the-art options for cybersecurity protection in a private 5G network system.

This project investigated disparities between designed multi-echelon inventory policies and their implementation and developed ways to mitigate them by improving policy design input or providing tools for better execution.

The goal of this project was to objectively determine an optimal configuration of 5G  for industrial buildings — specifically for industrial internet of things (IIoT) and digital applications — and to make this information publicly available for broad use including by the Department of Defense (DoD).

This project delivered an unbiased guidebook that 1) directs manufacturers on how to implement wireless network architecture in industrial facilities and 2) provides instruction on how to transition existing wired architecture to a 5G wireless network.

This project created and implemented a private 5G system on MxD’s factory floor that served as the base for a testbed and demonstrated and assessed 5G wireless network configurations for industrial applications.

This project will develop and implement supply chain visibility tasks within the Critical Infrastructure Resilience Institute (CIRI) Cybersecure Dashboard. CIRI is a Department of Homeland Security Center of Excellence research organization with a mission to positively impact the security and resilience of critical infrastructure around the nation.

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.

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.

The team demonstrated the technological feasibility and validity of a threat intelligence-driven cyber threat mission builder.

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.

The goal of this project was to develop an open architecture digital twin testbed enabling “plug-and-play” interoperability with technologies from various vendors for sensing, data aggregation, analytics, and control.

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.

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).

A middleware platform (application) along with educational documentation such as reports, recorded demonstrations, and a best practice supply chain playbook.

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.

MxD sponsors a study to assess how small and medium-sized manufacturers are complying with DoD’s new cybersecurity rules.

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.”

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.

The project team delivered a prototype Technical Data as a Service (TDaaS) solution that streamlines and enhances the management and utilization of technical data packages (TDPs) for a large manufacturer and its extensive ecosystem of suppliers and partners.

The Collaboration Project Team will develop a secure communication framework enabling virtual verification and validation of parts across additive manufacturing (AM) types and platforms. This includes universal data, types of sensors available per machine, sampling rate, and interdependence data.

The LHAS aimed 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.

Leveraging artificial intelligence and machine learning (AI/ML) cloud models developed with manufacturing data, CODA helps design engineers reduce engineering change orders (ECOs).

This project’s goal was to survey, document, and provide guidance on implementation of state-of-the-art options for cybersecurity protection in a private 5G network system.

This project investigated disparities between designed multi-echelon inventory policies and their implementation and developed ways to mitigate them by improving policy design input or providing tools for better execution.

The goal of this project was to objectively determine an optimal configuration of 5G  for industrial buildings — specifically for industrial internet of things (IIoT) and digital applications — and to make this information publicly available for broad use including by the Department of Defense (DoD).

This project delivered an unbiased guidebook that 1) directs manufacturers on how to implement wireless network architecture in industrial facilities and 2) provides instruction on how to transition existing wired architecture to a 5G wireless network.

This project created and implemented a private 5G system on MxD’s factory floor that served as the base for a testbed and demonstrated and assessed 5G wireless network configurations for industrial applications.

This project will develop and implement supply chain visibility tasks within the Critical Infrastructure Resilience Institute (CIRI) Cybersecure Dashboard. CIRI is a Department of Homeland Security Center of Excellence research organization with a mission to positively impact the security and resilience of critical infrastructure around the nation.

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.

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.

The team demonstrated the technological feasibility and validity of a threat intelligence-driven cyber threat mission builder.

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.

The goal of this project was to develop an open architecture digital twin testbed enabling “plug-and-play” interoperability with technologies from various vendors for sensing, data aggregation, analytics, and control.

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.

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).

A middleware platform (application) along with educational documentation such as reports, recorded demonstrations, and a best practice supply chain playbook.

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.

MxD sponsors a study to assess how small and medium-sized manufacturers are complying with DoD’s new cybersecurity rules.

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.”

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.

The project team delivered a prototype Technical Data as a Service (TDaaS) solution that streamlines and enhances the management and utilization of technical data packages (TDPs) for a large manufacturer and its extensive ecosystem of suppliers and partners.

The Collaboration Project Team will develop a secure communication framework enabling virtual verification and validation of parts across additive manufacturing (AM) types and platforms. This includes universal data, types of sensors available per machine, sampling rate, and interdependence data.

The LHAS aimed 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.

Leveraging artificial intelligence and machine learning (AI/ML) cloud models developed with manufacturing data, CODA helps design engineers reduce engineering change orders (ECOs).

This project’s goal was to survey, document, and provide guidance on implementation of state-of-the-art options for cybersecurity protection in a private 5G network system.

This project investigated disparities between designed multi-echelon inventory policies and their implementation and developed ways to mitigate them by improving policy design input or providing tools for better execution.

The goal of this project was to objectively determine an optimal configuration of 5G  for industrial buildings — specifically for industrial internet of things (IIoT) and digital applications — and to make this information publicly available for broad use including by the Department of Defense (DoD).

This project delivered an unbiased guidebook that 1) directs manufacturers on how to implement wireless network architecture in industrial facilities and 2) provides instruction on how to transition existing wired architecture to a 5G wireless network.

This project created and implemented a private 5G system on MxD’s factory floor that served as the base for a testbed and demonstrated and assessed 5G wireless network configurations for industrial applications.

This project will develop and implement supply chain visibility tasks within the Critical Infrastructure Resilience Institute (CIRI) Cybersecure Dashboard. CIRI is a Department of Homeland Security Center of Excellence research organization with a mission to positively impact the security and resilience of critical infrastructure around the nation.

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.

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.

The team demonstrated the technological feasibility and validity of a threat intelligence-driven cyber threat mission builder.

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.

The goal of this project was to develop an open architecture digital twin testbed enabling “plug-and-play” interoperability with technologies from various vendors for sensing, data aggregation, analytics, and control.

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.

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).

A middleware platform (application) along with educational documentation such as reports, recorded demonstrations, and a best practice supply chain playbook.

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.

MxD sponsors a study to assess how small and medium-sized manufacturers are complying with DoD’s new cybersecurity rules.