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Technology Review

Manufacturing of Smart Goods: Current State, Future Potential, and Research Recommendations

[+] Author and Article Information
Brian K. Paul

School of Mechanical, Industrial
and Manufacturing Engineering,
Oregon State University,
Corvallis, OR 97330
e-mail: Brian.Paul@oregonstate.edu

Rahul Panat

School of Mechanical and Materials Engineering,
Washington State University,
Pullman, WA 99163

Christina Mastrangelo

Industrial & Systems Engineering,
University of Washington,
Seattle, WA 98195

Dave Kim

Department of Mechanical Engineering,
Washington State University,
Vancouver, WA 98686

David Johnson

Department of Chemistry and Biochemistry,
University of Oregon,
Eugene, OR 97403

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MICRO- AND NANO-MANUFACTURING. Manuscript received January 5, 2016; final manuscript received June 15, 2016; published online October 19, 2016. Editor: Jian Cao.

J. Micro Nano-Manuf 4(4), 044001 (Oct 19, 2016) (12 pages) Paper No: JMNM-16-1001; doi: 10.1115/1.4033968 History: Received January 05, 2016; Revised June 15, 2016

Smart goods are everyday products with wireless connection to cloud computing enabling cost-effective strategies for embedded computation, memory and sensing. A 2015 workshop sponsored by the National Science Foundation and the Oregon Nanoscience and Microtechnologies Institute brought industry and academic leaders together in the Pacific Northwest to help identify future manufacturing research needs in this emerging industry. Workshop findings show that the impetus exists to drive the costs of smart goods lower and several technological challenges stand in the way. This paper summarizes the outcomes of the workshop including the current state of practice, future potential, technological gaps, and research recommendations to realize lower cost routes to manufacture smart goods.

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References

Figures

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Fig. 1

A case study in smart goods: The Microsoft Band. (Reproduced with permission from Simplexity Product Develoment, Inc., San Diego, CA. Copyright 2016 by Simplexity).

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Fig. 2

Energy harvesting research needs for smart meters

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Fig. 3

Number of devices connected to the internet as of 2014. (Reproduced with permission from Business Insider, New York. Copyright 2016 by Business Insider Intelligence).

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Fig. 4

2014 forecast for average sensor cost. (Reproduced with permission from Business Insider, New York. Copyright 2016 by Business Insider Intelligence).

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Fig. 5

Si perspective of the building blocks for IoT (ON Semiconductor). The diagram identifies key research areas that can be addressed by academia to help industry address its critical problems. (Reproduced with permission from ON Semiconductor, Phoenix, AZ. Copyright 2016 by ON Semiconductor).

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Fig. 6

The Si-based power management areas for research. (Reproduced with permission from ON Semiconductor, Phoenix, AZ. Copyright 2016 by ON Semiconductor).

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Fig. 7

Surface power density from various harvested energy sources. (Reproduced with permission from Thermogen, Corvallis, OR. Copyright 2016 by Thermogen)

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Fig. 8

An open source “modular” approach at STMicroelectronics. MEMS-based sensors available to developers and consumers. (Reproduced with permission from STMicroelectronics, Amsterdam, The Netherlands. Copyright 2016 by STMicroelectronics).

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Fig. 9

A Google smart device: (a) contact lens that (b) senses glucose levels and (c) uses an antenna to wirelessly transmit the reading to a smart phone [27]. (Reproduced with permission from Google, Mountain View, CA. Copyright 2016 by Google).

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