Research Project

California Advanced Defense Ecosystem and National Consortia Effort

Abstract

The California Advanced Defense Ecosystems & National Consortia Effort (CADENCE) aims to strengthen the resiliency of the national security innovation and manufacturing base through technical and workforce development assistance to California suppliers in defense innovation and manufacturing who are involved in the advancement of specific national security key technologies or supply chains (KTS) including microelectronics, fifth-generation (5G) wireless technology, cyber, space, artificial intelligence, and fully networked command, control and communications (FNC3). By doing this, CADENCE aims to support critical manufacturing sectors that provide key resources to the American warfighter and to commercial innovation; address DoD’s modernization priorities, key policies, guidance and directives; and help maintain the national security manufacturing sector as one of the largest economic drivers in the State of California. CADENCE includes 15 project components executed by a consortium comprised of community, industry, non-profit, state agencies, and educational institutions.

Motivation/Research Problem

The Intergovernmental Panel on Climate Change report, “Climate Change and Land”, estimated that food waste and its loss as energy “caused between 8 and 10% of the emissions of the gases responsible for global warming in the period 2010-2016” (Shukla, et al., 2019). Of the total methane emissions released from landfills in a given year, food waste accounts for 20% (Environmental Protection Agency, 2018). The efficient capture and safe processing of food waste into energy will have an appreciable impact on reducing annual greenhouse gas emissions. The current process of sorting and processing organic waste is inefficient, hazardous, and undertaken primarily by low-wage temporary workers who lack job security, living wages and benefits. Jobs in the waste collection and processing industry consistently rank among the top ten most dangerous jobs in the United States.

Research Team

Lead Researchers

Bingbing Li – Manufacturing Systems Engineering & Management

Collaborators

Eileen Sanchez, California Governor’s Office of Planning and Research
Jose Anaya, El Camino College
Conrad Leiva, DOE Clean Energy Smart Manufacturing Innovation Institute

Student Team

Tongzi Wu, Statistics

Funding

Funding Agency: Department of Defense
Funding Program: Defense Manufacturing Community Support Program (DMCSP)
Other Funding Organization: Subaward from El Camino College

Alignment, Engagement and Contributions

Workforce challenges in the smart manufacturing

Research Questions and Objectives

CSUN is proposing to develop a few inputs for Workforce Development in Smart Manufacturing. As part of this initiative, CSUN will partner with El Camino College, Governor’s Office of Planning and Research, DOE CESMII, Autodesk and NASA JPL to implement the following:

Inventory of SM curricula and programs in the U.S., identification of SM skill sets working with industry and academia.
Development of certificate program in Smart Manufacturing (maybe 6-8 hours)

Research Methods

The Smart Manufacturing Certificate Program is designed for defense manufacturing employees seeking access to or advancement in smart manufacturing-related professions. Certified individuals will have knowledge of fundamental principles of smart manufacturing, additive manufacturing, supply chain management, data analytics (including machine learning and deep learning), data processing, infrastructure and platform, and data acquisition including sensors, virtual reality & augmented reality techniques. Certified personnel will contribute to meet industry and government needs for professionals in smart manufacturing-related positions. The Smart Manufacturing Certificate Program will be offered at El Camino College.

Research Deliverables and Products

AI-assisted object detection for manufacturing monitoring and ARVR demo for 3D printing training. One journal paper Smart Manufacturing short term certificate at El Camino College.

Research Timeline

18 months project 02/17/2021-08/31/2022