TY - GEN
T1 - Sustainability benefits analysis of cyber-manufacturing systems
AU - Song, Zhengyi
AU - Moon, Young
N1 - Publisher Copyright:
© 2020 The Author(s). This is an Open Access article under the CC BY license.
PY - 2020
Y1 - 2020
N2 - Cyber-Manufacturing System (CMS) is a vision for the factory of the future, where manufacturing processes and physical components are seamlessly integrated with computational processes to provide agile, adaptive, and scalable manufacturing services. Functional elements of CMS are digitized, registered, and shared with users and stakeholders through various computer networks and the Internet. CMS incorporates recent advances in the Internet of Things, Cloud Computing, Cyber-Physical System, Service-Oriented Technologies, Modeling and Simulation, Sensor Networks, Machine Learning, Data Analytics, and Advanced Manufacturing Processes. CMS possesses intelligence such as self-monitoring, self-adjustment, self-prediction, self-allocation, self-configuration, self-scalability, self-remediating, and self-reusing. Such intelligent capabilities enable CMS to contribute to manufacturing sustainability. However, prior studies are limited in addressing a narrow scope of CMS or in covering only a subset of sustainability dimensions. This paper addresses the research gap by developing a holistic CMS infrastructure and adopting a Distance-to-Target based sustainability assessment approach to measure the sustainability benefits of CMS. To illustrate how the infrastructure and metrics are used to analyze the sustainability benefits of CMS, an example case is presented. The results show that CMS can deliver substantial sustainability benefits through increased productivity, profitability & energy efficiencies, and reduction of working-in-process (WIP) inventory levels & logistics costs.
AB - Cyber-Manufacturing System (CMS) is a vision for the factory of the future, where manufacturing processes and physical components are seamlessly integrated with computational processes to provide agile, adaptive, and scalable manufacturing services. Functional elements of CMS are digitized, registered, and shared with users and stakeholders through various computer networks and the Internet. CMS incorporates recent advances in the Internet of Things, Cloud Computing, Cyber-Physical System, Service-Oriented Technologies, Modeling and Simulation, Sensor Networks, Machine Learning, Data Analytics, and Advanced Manufacturing Processes. CMS possesses intelligence such as self-monitoring, self-adjustment, self-prediction, self-allocation, self-configuration, self-scalability, self-remediating, and self-reusing. Such intelligent capabilities enable CMS to contribute to manufacturing sustainability. However, prior studies are limited in addressing a narrow scope of CMS or in covering only a subset of sustainability dimensions. This paper addresses the research gap by developing a holistic CMS infrastructure and adopting a Distance-to-Target based sustainability assessment approach to measure the sustainability benefits of CMS. To illustrate how the infrastructure and metrics are used to analyze the sustainability benefits of CMS, an example case is presented. The results show that CMS can deliver substantial sustainability benefits through increased productivity, profitability & energy efficiencies, and reduction of working-in-process (WIP) inventory levels & logistics costs.
KW - Cyber-Manufacturing system
KW - Cyber-Physical system
KW - Modeling and simulation
KW - Sustainability assessment
KW - Triple bottom line
UR - http://www.scopus.com/inward/record.url?scp=85101238808&partnerID=8YFLogxK
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U2 - 10.1115/IMECE2020-23231
DO - 10.1115/IMECE2020-23231
M3 - Conference contribution
AN - SCOPUS:85101238808
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advanced Manufacturing
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2020 International Mechanical Engineering Congress and Exposition, IMECE 2020
Y2 - 16 November 2020 through 19 November 2020
ER -