NDLI: Building a rigorous foundation for performance assurance assessment techniques for “smart” manufacturing systems

Content Provider	IEEE Xplore Digital Library
Author	Roy, U. Yunpeng Li Bicheng Zhu
Copyright Year	2014
Description	Author affiliation: Dept. of Mech. & Aerosp. Eng., Syracuse Univ., Syracuse, NY, USA (Roy, U.; Yunpeng Li; Bicheng Zhu)
Abstract	The highly networked and real-time data analysis features of smart manufacturing systems (SMS) require different information infrastructure, data analytics technology, and performance assurance methodologies. The main purpose of this paper is to (i) explore the complete product-process performance assurance space to identify the key performance indicators that help evaluate and quantify system performance at different abstraction levels, (ii) discuss models and methodologies for data analytics, and (iii) suggest a digital factory-based simulation technique to evaluate those key indicators for performance prediction. The paper presents a systematic and rigorous approach towards establishing these performance assurance methodologies applicable to complex value chains of smart manufacturing systems by extensively exploring all possible product and process related performance issues. A hypercube information model is proposed for the purpose of formal representation of the highly dimensional and correlated information among different actors in a smart manufacturing system, thus providing a rigorous foundation for the performance assurance space. The relevant taxonomy and an ontology-based framework are then developed for formal representation of the entities, activities and knowledge involved in the performance assurance domain. It provides a detailed insight into the PA space and defines appropriate measures which can be applied to predict and improve system performance assurances.
Starting Page	1015
Ending Page	1023
File Size	1725288
Page Count	9
File Format	PDF
ISBN	9781479956661
DOI	10.1109/BigData.2014.7004335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance assurance Object oriented modeling Ontology Supply chains Hypercube Ontologies Hypercubes Digital factory Manufacturing systems Smart manufacturing
Content Type	Text
Resource Type	Article

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