This appendix is a reprint of the Appendix C text of the National Academies Interim Report: DoD Engagement with Its Manufacturing Innovation Institutes: Phase 2 Study (The National Academies Press, Washington, D.C., 2021) by the Committee on DoD Engagement with Its Manufacturing USA MIIs Phase 2 Study.
Information on Manufacturing Innovation Institute (MII) best practices in education and workforce development (EWD) is provided by the committee to supplement material on EWD under Question 3.
Currently, MIIs collect institute-specific data on the numbers of those trained and reached in their EWD programs. While such data is useful, more macroscopic data on actual jobs created in the MII’s targeted technology area and in the region influenced by the MII are also desirable. While such data provides a useful metric for MII performance, the committee has done a detailed review of the kinds of EWD programs undertaken by MIIs and developed a list of “best practices” that various MIIs are undertaking. While these best practices are less amenable to metrics, they represent important indicators of program quality. They are also indicative of the reach, both potential and ongoing, of the MII’s EWD programs in improving workforce education skills in the MII’s technology area. While no single institute is undertaking all of the program elements delineated below, the ability to perform a number, with quality efforts, can be an important indicator of program strength. Accordingly, the committee believes that as part of MII assessment, best EWD practices listed below could be considered in addition to numerical training and job numbers.
MIIs could evaluate and periodically update the knowledge, skills, and assessments (KSAs) required in their technology fields. These could be used to define competencies then create course materials potentially usable in industry and education institutions.
MIIs could engage closely with their membership and ecosystem—particularly industry and state education institutions (technical high schools, community colleges and universities)—in both creating these materials and using them. Optimally, the EWD program could be tied to state economic development needs and state education plans, programs, and needs.
MIIs could undertake EWD engagements in the economic regions where they have facilities and programs and where they can make a substantial impact—for example, an area of a high concentration of companies that can benefit from MII’s offerings. Alliances with states and local governments, area industry, Manufacturing Extension Partnerships (MEPs), and educational institutions will be key to disseminating EWD programs in their new technologies. Regional approaches can assure relevance of EWD efforts to actual needs and priorities, and pilots at the regional level can then be scaled at a national level.
Hence, they could also consider broader advanced manufacturing EWD offerings beyond their specific technology area in their regional efforts.
Mapping skill demand—MIIs could map and periodically update future employer demand in MII technology skill areas, both in the MII’s region and nationally.
Skill roadmaps—MIIs could develop and periodically update “skill roadmaps” (with worker demand in the MII’s technology and corresponding education planning) to meet skill needs for adoption in the MII’s region and nationally, that coordinate with the MII’s technology roadmaps.
MIIs could develop online course materials and modules for use by employers and education institutions in their technology areas where there are gaps in education offerings. MIIs could also consider development of augmented reality (AR) and virtual reality (VR) material as an alternative for some hands-on learning aspects. These online materials could be available for posting on ManTech’s pending Open edX platform.
The MII could be seeking outside funding to supplement its core funding from ManTech in order to get its programs to appropriate scale. The nature of the funding available and sought could be aligned with the role the MII plays—that is, is the technology “close in” to adoption, which may require focus on both technician and engineering training, or “further out” from implementation and scaling, so requiring more engineering education focus, consistent with the corresponding EWD mission.
The MII could obtain experienced staff to work on EWD efforts, with experience working with industry education programs of particular use.
The MII could clearly define the MII’s role in the credentialing EWD space. It could evaluate available credential offerings in the MII’s technology area, then work with industry to fill in credential gaps—it could examine how existing credential systems are utilized relevant to its technology areas and assess possible collaborations with manufacturing associations relevant to meet the credential needs for their advanced manufacturing technology sector. In the interest of scaling new credentials and building their widespread acceptance, MIIs could generally avoid
setting up credentialing as a short- and mid-term profit center. Where MIIs are developing new credentials, they could generally use independent third-party credential assessment organizations. In developing credentialing efforts, they could tap into the industry technology experts, not simply industry human resource officials, for credential development advice. A system could be in place for periodically updating credentials.
The DoD workforce, in depots and arsenals as well at defense contractors, will have need for skills being developed by the MIIs in their technology areas. MII EWD programs could actively pursue such collaborations. For “closer in” skills (robotics, digital production, additive, etc.) the need will be at both the engineering and technician level; for “further out” technologies (photonics, advanced fibers, flexible hybrid electronics, etc.), the need may be largely at the engineering level. For evaluation purposes, such a review of technology maturation can be tied to TRL or MRL levels. Mechanisms to engage the DoD workforce, in collaboration with other MIIs and ManTech, could be under active consideration and implementation by MII EWD programs.
Military veterans can be an important source of talent for manufacturing jobs if they receive workforce skill training. Participation in MII-developed “Operation Next” for advanced manufacturing training for military personnel who are
planning to enter the civilian sector (as well as for National Guard and military spouses) is one option MIIs could consider for teaching this potential talent pool.
Particularly in “further out” technologies, MIIs could leverage existing programs and develop new ones to engage and educate entrepreneurial and start-up firms in their technologies.
Ultimately the success of an MII should lead to growth in economic activity in the targeted technology area, certainly regionally, and perhaps nationally. For a sufficiently mature MII, one would expect to observe growth in demand (regionally, and perhaps nationally) for skilled workers in the target technology area, and eventually job growth. Data could be compiled over time to indicate this.
Regarding numbers trained—In addition to collecting numbers of those trained, MIIs could attempt to track what happens to students and trainees that engage in MII EWD programs, including, to the extent possible, information on how many students and trainees began to work in the field. Because the extent of an MII’s industry and education institution engagement in competency development and training may improve industry uptake, numbers could include those reached by
industry and education programs MIIs have participated in or assisted. Numbers of those reached by MII programs could be compared to levels for demand and skill needs undertaken in mapping activities.