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Smart manufacturing and DVSM based on an Ontological approach
Journal article   Peer reviewed

Smart manufacturing and DVSM based on an Ontological approach

Zhuoyu Huang, Casey Jowers, Ali Dehghan-Manshadi and Matthew S Dargusch
Computers in Industry, Vol.117, 103189
2020
url
https://doi.org/10.1016/j.compind.2020.103189View
Published Version

Abstract

Neo4j semantic ontology CHAMP CPS DVSM
Smart manufacturing is characterized as transparent shop floor production, rapid and intelligentresponses to dynamic changes, and a utilization of high-performance inter-cooperation networks. Smartmanufacturing and a global appetite for personalized products have transitioned industry from massproduction into the age of mass customization. Increased autonomy is slowly changing customer expecta-tions as well, enabling customers to modify a product design not only during an order, but sometimes evenlong after placing an order. In this context, this paper fills a gap by presenting a data-centric infrastructureto enable interaction with a "global, virtual data space," which overcomes the problems with traditionaldirect access methods such as interoperability and compatibility. Using a Cyber-Physical System (CPS),resource monitoring on the shopfloor as well as multiple parities beyond the enterprise boundary willbe interconnected through this data-centric infrastructure. A semantic knowledge management sys-tem, which encompasses product lifecycle knowledge and manufacturing process ontology, is developedas the data schema in the data-centric infrastructure. In comparison to relational databases which areeffective at handling paper forms and tabular structure, the flexible schema of graph databases enablethese to handle dynamic and uncertain variables. These capabilities are deemed critical for a platformsupporting real-time information exchange between customer, manufacturer and collaborators. Oneadvantage of such a system allowing for real-time information exchange is that it enables last minuteorder changes by the customer, allowing for product design changes even after production has startedon the order. The other advantage is that it allows manufacturing managers to monitor the productivityof customer-directed, dynamic manufacturing processes by utilizing Dynamic Value Stream Mapping(DVSM) methods.

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Collaboration types
Domestic collaboration
Web Of Science research areas
Computer Science, Interdisciplinary Applications

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#9 Industry, Innovation and Infrastructure
#12 Responsible Consumption & Production

Source: InCites

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