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Real-time shop-floor production performance analysis method for the internet of manufacturing things
School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
2014 (English)In: Advances in Mechanical Engineering, ISSN 1687-8132, E-ISSN 1687-8140, Vol. 6, article id 270749Article in journal (Refereed) Published
Abstract [en]

Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources. As a result, it is difficult to analyze the real-time production performance for the shopfloor. In this paper, the definition and overall architecture of the internet of manufacturing things is presented to provide a new paradigm by extending the techniques of internet of things (IoT) to manufacturing field. Under this architecture, the real-time primitive events which occurred at different manufacturing things such as operators, machines, pallets, key materials, and so forth can be easily sensed. Based on these distributed primitive events, a critical event model is established to automatically analyze the real-time production performance. Here, the up-level production performance analysis is regarded as a series of critical events, and the real-time value of each critical event can be easily calculated according to the logical and sequence relationships among these multilevel events. Finally, a case study is used to illustrate how to apply the designed methods to analyze the real-time production performance.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2014. Vol. 6, article id 270749
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-253509DOI: 10.1155/2014/270749ISI: 000335698300001Scopus ID: 2-s2.0-84901370773OAI: oai:DiVA.org:kth-253509DiVA, id: diva2:1325421
Note

QC 20190617

Available from: 2019-06-15 Created: 2019-06-15 Last updated: 2019-06-17Bibliographically approved

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