Global Manufacturing and the Future of...

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Carnegie Mellon University Global Manufacturing and the Future of Technology Erica R.H. Fuchs Dept. Engineering & Public Policy Carnegie Mellon University [email protected]

Transcript of Global Manufacturing and the Future of...

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Carnegie Mellon University

Global Manufacturing and the Future of Technology

Erica R.H. Fuchs Dept. Engineering & Public Policy

Carnegie Mellon University [email protected]

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Global Redistribution of Production

May 24, 2017 1

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Does offshoring to developing East Asia change the innovation trajectory of the firm and the industry?

Two emerging technologies:

Automotive Industry: Fiber-reinforced Polymer Composite Unibody Vehicle Light-weighting

Telecommunications and Computing Industry: Monolithic Integration of Optoelectronic Components Originally small telecom firms ITRS 2012: Moore’s Law

Two Industries: Automobiles, Communications

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Fuchs, Bruce, Ram, Kirchain (2006) Process-Based Cost Modeling of Photonics Manufacture Journal of Lightwave Technology. 24(8): 3175-3186.

U.S. Production: Emerging Wins

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Fuchs and Kirchain (2010) Design for Location: The Impact of Manufacturing Offshore on Technology Competitiveness in the Optoelectronics Industry. Management Science. 56(12): 2323-2349.

Global Production: Prevailing Wins

Not devaluing Yuan wages in PRC

Cheaper to make the old product. But we don’t want the old product!

Unfortunately, not what public firms do…

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Global redistribution of manufacturing changing what products profitable for firms to pursue

Can’t use “one-size-fits-all” policy: Relationship between manufacturing and innovation varies by technology

Optoelectronics Case: Extremely Constrained! Difficulty separating manufacturing from R&D Small market, only able to afford one manufacturing facility Typical of small, process-based, high-tech firms? (Pisano 1997, Bohn 2005,

Lecuyer 2006)

… Only private, venture- and govt-supported firms stay…

In less constrained cases, global manufacturing footprint can support diversifying product portfolio

Not all Technologies are Created Equal

Fuchs, E. (2015) Global Manufacturing and the Future of Technology. Science. 354(6196): 519-520.

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What role for the State?

Manufacturing Extraordinary challenges Critical in certain sectors

Technological nuance

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Example 1: DARPA

DARPA program manager: embedded network agent Not “picking winners” Not the one’s with the ideas, but rather the central node

to which ideas flow And yet, need “vision” To orchestrate the research community

Understanding emerging themes Matching themes to military needs Betting on the right people Connecting disconnected communities Standing up competing technologies against each other Maintaining critical birds-eye perspective

May 24, 2017 Hassan Khan 7

Fuchs, E., "Rethinking the Role of the State in Technology Development: DARPA and the Case for Embedded Network Governance”, Lead article, Research Policy, 39(2010): 1133-1147, 2010

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Example 2: Semiconductor Research Corporation

1982: founded by SIA Horizontal industry collaboration Fund research at universities (Silicon IC) Industry seeks government (local and national) funds Not SEMATECH (1987; vertical collab.; 3-5 yr upgrading)

Extraordinary success coordinating research within existing technological paradigm

For what technological challenges is a PPP not the right organizational form? Scaling Moore’s Law: New tech. paradigm SRC’s Nanoelectronics Research Initiative Fragmentation of collaborative incentives, GPT

May 24, 2017 Hassan Khan 8

Khan, H., Hounshell, D. and Fuchs, E. 2014. Scaling Moore's Wall: A Public Private Partnership in Search of a Technological Revolution. Revise and Resubmit. Research Policy.

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Matching Organizational Form to Goals

DARPA: Prevent technological surprise NSF: Advancement of peer-reviewed science PPP:

SRC: 5-7 yr advancement w/in paradigm (horizontal) SEMATECH: 3-5 yr upgrading (vertical) NNMI: TR 4-7; Platform technologies???

Technology selection by embedded network agents? Aligned concentrated interests?

With the importance of manufacturing for economic growth, national security… is toolkit right? Enough?

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Fuchs, E., "Rethinking the Role of the State in Technology Development:” Research Policy, 39(2010): 1133-1147, 2010 Khan, H., Hounshell, D. and Fuchs, E. 2014. Scaling Moore's Wall” Revise and Resubmit. Research Policy. Bonnin-Roca, J., Vaishnav, P., Morgan, M.G., Mendoca, J., Fuchs, E. When Risks Cannot be Seen” Research Policy. Accepted

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Thank you.

NSF Science of Science Policy (CAREER, SBE, GOALI)

… NIST and many others…

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Fuchs and Kirchain (2010) Design for Location: The Impact of Manufacturing Offshore on Technology Competitiveness in the Optoelectronics Industry. Management Science. 56(12): 2323-2349.

Base Case

10% 16%

100% 10%*US

67% 97%

15% 5%

105% 75%*US

$4.51 $0.57/hr

Global Production: Location Matters

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Fuchs and Kirchain (2010) Design for Location: The Impact of Manufacturing Offshore on Technology Competitiveness in the Optoelectronics Industry. Management Science. 56(12): 2323-2349.

Global Production: Prevailing Wins

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Fuchs and Kirchain (2010) Design for Location: The Impact of Manufacturing Offshore on Technology Competitiveness in the Optoelectronics Industry. Management Science. 56(12): 2323-2349.

Can U.S.-Based Emerging Compete?

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Manuf. Location

Manufacturing Characteristics

Most Economic Design

Technology Trajectory

Manufacturing Characteristics

Targeted Market

Offshoring & Innovation (More?)

Design for Location (2010) Plastic Cars in China (2011)

Will subsidies drive… (2014)

Gains from Others (2015)

Manufacturing Variety (2015) Learning in Multi-product… (2015)

Firm ? Industry ?

Automobile bodies: Opportunities missed? Innovative low-volume, high-mix production China: Largest demand, production of automobiles Consumers more willing to pay for electric vehicles

in China than the U.S. (Helveston et al 2014)

(Egelman et al. 2015, Treado & Fuchs 2015)

(Fuchs et al 2011)

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U.S. Manufacturing Employment Declines

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Who will produce what, where?

Workforce policy informed by inadequate data Can we leverage insights from engineering models

based on industrial data to inform the link between technology and workforce changes?

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Four categories of technology change

Automation (Robots) H: more net jobs, more bottom and top?

Component Integration H: fewer net jobs, more middle?

Product Variety (Customization) H: more net jobs, more middle?

Artificial Intelligence H: more net jobs, only at the top … in all cases also changing what products are possible…

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