Cloud-Based Manufacturing: Drivers, Current Status, and Future Trends

Dazhong Wu; Matthew J. Greer; David W. Rosen; Dirk Schaefer

Cloud-Based Manufacturing: Drivers, Current Status, and Future Trends

Dazhong Wu, Matthew J. Greer, David W. Rosen, Dirk Schaefer

Department of Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

Cloud Manufacturing (CM) refers to a customer-centric manufacturing model that exploits on-demand access to a shared collection of diversified and distributed manufacturing resources to form temporary, reconfigurable production lines which enhance efficiency, reduce product lifecycle costs, and allow for optimal resource loading in response to variable demand customer generated tasking. Our objective is to present the drivers, current status of research and development, and future trends of CM. We also discuss the potential short term and long term impacts of CM on various sectors.

Original language	English
Publication status	Published - 2013
Event	ASME 2013 International Manufacturing Science and Engineering Conference, MSEC2013 - Madison, Wisconsin, USA United States Duration: 10 Jun 2013 → 14 Jun 2014

Conference

Conference	ASME 2013 International Manufacturing Science and Engineering Conference, MSEC2013
Country/Territory	USA United States
City	Madison, Wisconsin
Period	10/06/13 → 14/06/14

Keywords

Cloud manufacturing

Cite this

@conference{6a38fdbd43f442ad9b71430216c5e5d2,

title = "Cloud-Based Manufacturing: Drivers, Current Status, and Future Trends",

abstract = "Cloud Manufacturing (CM) refers to a customer-centric manufacturing model that exploits on-demand access to a shared collection of diversified and distributed manufacturing resources to form temporary, reconfigurable production lines which enhance efficiency, reduce product lifecycle costs, and allow for optimal resource loading in response to variable demand customer generated tasking. Our objective is to present the drivers, current status of research and development, and future trends of CM. We also discuss the potential short term and long term impacts of CM on various sectors.",

keywords = "Cloud manufacturing",

author = "Dazhong Wu and Greer, {Matthew J.} and Rosen, {David W.} and Dirk Schaefer",

year = "2013",

language = "English",

note = "ASME 2013 International Manufacturing Science and Engineering Conference, MSEC2013 ; Conference date: 10-06-2013 Through 14-06-2014",

}

TY - CONF

T1 - Cloud-Based Manufacturing: Drivers, Current Status, and Future Trends

AU - Wu, Dazhong

AU - Greer, Matthew J.

AU - Rosen, David W.

AU - Schaefer, Dirk

PY - 2013

Y1 - 2013

N2 - Cloud Manufacturing (CM) refers to a customer-centric manufacturing model that exploits on-demand access to a shared collection of diversified and distributed manufacturing resources to form temporary, reconfigurable production lines which enhance efficiency, reduce product lifecycle costs, and allow for optimal resource loading in response to variable demand customer generated tasking. Our objective is to present the drivers, current status of research and development, and future trends of CM. We also discuss the potential short term and long term impacts of CM on various sectors.

AB - Cloud Manufacturing (CM) refers to a customer-centric manufacturing model that exploits on-demand access to a shared collection of diversified and distributed manufacturing resources to form temporary, reconfigurable production lines which enhance efficiency, reduce product lifecycle costs, and allow for optimal resource loading in response to variable demand customer generated tasking. Our objective is to present the drivers, current status of research and development, and future trends of CM. We also discuss the potential short term and long term impacts of CM on various sectors.

KW - Cloud manufacturing

M3 - Paper

T2 - ASME 2013 International Manufacturing Science and Engineering Conference, MSEC2013

Y2 - 10 June 2013 through 14 June 2014

ER -

Cloud-Based Manufacturing: Drivers, Current Status, and Future Trends

Abstract

Conference

Keywords

Fingerprint

Cite this