TY - GEN
T1 - A framework for interoperable sustainable manufacturing process analysis applications development
AU - Shao, Guodong
AU - Riddick, Frank
AU - Lee, Ju Yeon
AU - Kim, Duck Bong
AU - Lee, Yung Tsun Tina
AU - Campanelli, Mark
PY - 2012
Y1 - 2012
N2 - Sustainable manufacturing (SM) continues to grow in importance. However, analysis tools to assess the sustainability performance of SM processes are difficult to verify and validate. Additionally, the ability to share and reuse SM information is hampered by a lack of (1) standards to represent that information, (2) interoperability among the engineering applications that use that information, and (3) consistency across the current approaches for modeling that information. This paper focuses on an integrated approach required to address these limitations, proposing a framework that will enable sustainable manufacturing process analysis applications to be developed by manufacturers. The framework will facilitate the developing of analysis platforms and sustainable manufacturing information models by enabling the integration of simulation and optimization model components to analyze processes at different operational levels. An example is provided to illustrate the framework.
AB - Sustainable manufacturing (SM) continues to grow in importance. However, analysis tools to assess the sustainability performance of SM processes are difficult to verify and validate. Additionally, the ability to share and reuse SM information is hampered by a lack of (1) standards to represent that information, (2) interoperability among the engineering applications that use that information, and (3) consistency across the current approaches for modeling that information. This paper focuses on an integrated approach required to address these limitations, proposing a framework that will enable sustainable manufacturing process analysis applications to be developed by manufacturers. The framework will facilitate the developing of analysis platforms and sustainable manufacturing information models by enabling the integration of simulation and optimization model components to analyze processes at different operational levels. An example is provided to illustrate the framework.
UR - http://www.scopus.com/inward/record.url?scp=84874675889&partnerID=8YFLogxK
U2 - 10.1109/WSC.2012.6465076
DO - 10.1109/WSC.2012.6465076
M3 - Conference contribution
AN - SCOPUS:84874675889
SN - 9781467347792
T3 - Proceedings - Winter Simulation Conference
BT - Proceedings of the 2012 Winter Simulation Conference, WSC 2012
T2 - 2012 Winter Simulation Conference, WSC 2012
Y2 - 9 December 2012 through 12 December 2012
ER -