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Smart Manufacturing Systems based on Cyber-physical Manufacturing Services (CPMS)

Published

Author(s)

Yan Lu, Feng Ju

Abstract

The future of manufacturing lies in being smart – capable of agilely adapting to a wide variety of changing conditions. To enable an agile manufacturing system, production plants, supply chains and logistic systems have to be flexible in design and reconfigurable on the fly to respond quickly to customer needs, production uncertainty, and market changes. With the introduction of Internet of Things (IoT) technology to manufacturing and the concept of cyber-physical production systems, a promising approach to realize manufacturing agility is Service Oriented Architecture (SOA), which has been proved effective for business process adaptation and expected to revolutionize real time manufacturing in a similar fashion. The objective of this paper is to discuss the design perspectives for service oriented smart manufacturing systems based on a concept of cyber physical manufactur-ing services (CPMS). A modeling framework is proposed to provide appropriate conceptual models for developing and describing CPMS and enabling their compositions. Specifically, the modeling framework separates service provision models from service request models and proposes to use standardized functional taxonomies and a reference ontology to facilitate the mediation between service requests and service consumptions. Implementing a SOA based smart manufacturing system based on the proposed modeling framework is illustrated through a 3D printing use case.
Proceedings Title
The 20th World Congress of the International Federation of Automatic Control
Conference Dates
July 9-14, 2017
Conference Location
Toulouse
Conference Title
IFAC 2017 World Congress

Keywords

Service oriented architecture, cyber physical manufacturing service, real-time, smart manufacturing system, 3D printing

Citation

Lu, Y. and Ju, F. (2017), Smart Manufacturing Systems based on Cyber-physical Manufacturing Services (CPMS), The 20th World Congress of the International Federation of Automatic Control, Toulouse, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922349 (Accessed June 15, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 15, 2017, Updated November 8, 2017