The Selection of Projects, for CESMII Roadmap Projects, Request for Proposals (RFP-2, Wave 4) – Smart Manufacturing (SM) Innovation Projects

This RFP was focused on soliciting SM Innovation Projects, which involve energy and productivity applications ( use cases)  that are intended to cover a diverse set of manufacturing problems that can be solved using SM technologies.  The projects impact key performance indices such as energy, productivity, quality, efficiency, and waste reduction.  The Innovation Projects are designed to rapidly develop innovative solutions to solve challenging manufacturing use cases for processes and equipment relevant for U.S. manufacturing.

These use cases are:

  1. Energy efficiency and/or energy productivity use cases
  2. Process performance and productivity use cases
  3. Process monitoring and predictive diagnostics use cases

The RFP required projects to bring rapid value (approximately 3-6 months) and be executed in an agile manner by an interdisciplinary team ideally led by a manufacturer.  Small and medium manufacturers were particularly encouraged to identify use cases in their respective manufacturing operations.

 CESMII will be providing the tools (provided separately by CESMII HQ ) necessary for creating structured information models and other support for  each of these projects. These tools are ready for use by the project teams.

 

Proposal Review Summary:

28 proposals were submitted in response to the RFP.  Eight members of the CESMII HQ staff conducted detailed evaluations of all the proposals and have recommended to DOE 14 projects for selection consideration.  The evaluation process, proposal rankings and proposals for all the projects reviewed were provided to DOE for its review. The projects recommended for selection have been reviewed and concurred on by the DOE Technology Manager.

 

Funding:

Funding for each SM Innovation Project is limited to $200K (Federal + cost share).  Federal funding dedicated to the 14 selected projects totals approximation $1.4M with and equal amount of non-federal funding being provided by the project teams.

 

Projects Selected for Award Negotiations:

Funding for each SM Innovation Project is limited to $200K (Federal + cost share).  Federal funding dedicated to the 14 selected projects totals approximation $1.4M with and equal amount of non-federal funding being provided by the project teams.

 

Projects Selected for Award Negotiations:

The proposals selected for award negotiations represent a portfolio of projects that tightly aligns with the goals and metrics of the institute, as well as the updated roadmap.  The portfolio addresses use cases that span energy consumption, productivity, precision, performance, asset monitoring, and predictive maintenance.  It contributes significantly to the creation of reusable information models and demonstrates extensive use of CESMII’s SM Innovation Platform.  The portfolio will expand the Institute’s reach into industry verticals ( Food & Beverage, Marine, Warehousing, Automotive, Engines/Agriculture, Aerospace, Bio Manufacturing, Discrete Manufacturing/Small Medium Manufacturer-SMM), Garment, Hydraulics/SMM, Industrial Valves)   and would bring in 23 new members, most of them from the industry and the SMM community.  Below is a brief description of each of the projects selected.

  • G-W Process Optimization, Nutrition Bar Confectioners (NBC) and Central NY Tech Development Organization will develop a solution to improve cooling tunnel performance, product quality and energy consumption at NBCy creating reusable structured information models (SM Profiles) and a data driven predictive model demonstrated with the SM Innovation Platform.  With an anticipated throughput increase of 10% and a decreased need for rework of 12%, the energy cost/bar will go down significantly.
  • Oregon State University and Ectron Corporation will develop a solution to improve energy consumption and productivity of the hop drying process for four facilities in the Pacific Northwest by obtaining real-time data, creating reusable structured information models (SM Profiles) and a data driven predictive model to optimize operating parameters and improve energy consumption.  The project estimates that they can save 1-1.5 hours in total time from the long drying time of 6-11 hours, and thus saving energy and time.
  • Brunswick Corporation and Concurrency will develop and demonstrate a machine learning based forecasting model for supply chain fulfilment and inventory optimization for engines and boats, using a reusable structured information model (SM Profile) based on data from demand planning systems and manufacturing operation.  
  • Concurrency and Clover Imaging will use an AI based cognitive bot service to provide audio-visual instructions to workers with cognitive disabilities in a warehouse environment, combined with part location and identification information in a structured information model (SM Profile) for a warehouse application, demonstrated in the SM Innovation Platform environment.
  • GE Digital and J.M. Smucker will use the capabilities of the SM Innovation Platform to create and demonstrate an SM Profile based standard interface to synchronize product data in Product Lifecycle Management/Enterprise Resource Planning (PLM/ERP) with operations data in Manufacturing Execution Systems (MES)  systems, resulting in improved real-time decision making during disruptive business conditions.
  • Adapdix and Tesla will demonstrate a pre-configured, adaptive Station AI edge controller to improve uptime and yield by predicting and optimizing robotic cell performance during vehicle manufacturing, enabled by a structured information model (SM Profile) for real-time data collection on performance parameters, anomaly detection and cell operation data.
  • Toward Zero and Raytheon will develop and demonstrate a cost-effective connectivity solution for legacy machines (that need to be upgraded for sensors and connectivity) by integrating an  on-premise machine connectivity device (edge device), the SM Innovation Platform and structured information models (SM Profiles) including sensor and operational data, to improve operational efficiency, quality and predictive maintenance by at least 5-10% at four facilities.
  • Caterpillar will develop and demonstrate a data driven predictive model for reducing energy usage via early detection of engine test failures, enabled by data collection and contextualization in the SM Innovation Platform through a structured information model (SM Profile) for the test bed.  The project estimates that they can improve the ability to predict success / failure of engine test with greater than 85% confidence from the current 70%.
  • Rensselaer Polytechnic, Penn State University and Janssen/Johnson & Johnson will develop a model-based control solution for process and quality improvements in manufacture of monoclonal antibody (mAb) -based drugs, enabled by structured information model (SM Profiles), SM Innovation Platform based data contextualization, data driven algorithms for predicting morphology and a feed-forward scheme to control the process.  The project aims to understand how much they can improve purification process for improving the quality of mAb.
  • Advanced Manufacturing International will work with several partners and small manufacturers to demonstrate a cost-effective SM solution based on affordable on-premise machine connectivity device (edge hardware), SM Innovation Platform and structured information model (SM Profiles) to lower the cost for adopting smart manufacturing technologies at three small manufacturers of chemicals, furniture and precision manufacturing.  This project will help in understanding and reducing  the potential bottlenecks for SMMs in terms of  cost of adopting smart manufacturing technologies.
  • Fifth Generation Technologies (5G) will partner with Wipro to demonstrate how improvements can be made through use of SM technologies use cases for hydraulic component manufacturing by utilizing pre-built software applications and data access through the SM Innovation Platform and structured information models (SM Profiles) for Wipro’s assets.
  • Litmus Automation and Bray International will develop and demonstrate a monitoring and anomaly detection solution to improve throughput, reduce waste, and reduce scrap in industrial valve manufacturing by integrating an on-premise machine connectivity device (edge device), the SM Innovation Platform, structured information models (SM Profiles) and anomaly detection. 
  • Commonwealth Center for Advanced Manufacturing, Association for Manufacturing Technology and Beeond will develop tools for automatic generation of SM Profiles using OPC-UA-MTConnect companion specifications with the SM Innovation Platform, to enable rapid population of the SM Marketplace with SM Profiles for common MTConnect and OPC-UA compliant machines. This project will help CESMII in meeting one of their objective of helping manufacturers to rapidly adopt smart manufacturing technologies and reduce the cost of deployment.
  • Interface Technologies, Hickey-Freeman, Rensselaer Polytechnic and CGS, Inc will develop a structured information model (SM Profile), integrated with the SM Innovation Platform to connect robotic sewing work cell with existing shop floor control systems, and create an application for automated labor reporting to help improve productivity in apparel manufacturing.  The project estimates that both the SM Profile and the application will lower integration costs to increase adoption of the robotic system which itself targets a 30-50% increase in sewing operator productivity.

 

SUBSCRIBE TO OUR NEWSLETTER
BECOME A MEMBER
Our ecosystem is inclusive by design,
and everyone has a role to play.
Come find yours!


JOIN US >

LOCATION

Headquarters: Los Angeles, California
(888) 720-8096 | info@cesmii.org