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AuthorLechevalier D.
AuthorShin S.-J.
AuthorRachuri S.
AuthorFoufou S.
AuthorLee Y.T.
AuthorBouras A.
Available date2020-04-16T06:56:46Z
Publication Date2019
Publication NameJournal of Intelligent Manufacturing
AbstractMonitoring the performance of manufacturing equipment is critical to ensure the efficiency of manufacturing processes. Machine-monitoring data allows measuring manufacturing equipment efficiency. However, acquiring real and useful machine-monitoring data is expensive and time consuming. An alternative method of getting data is to generate machine-monitoring data using simulation. The simulation data mimic operations and operational failure. In addition, the data can also be used to fill in real data sets with missing values from real-time data collection. The mimicking of real manufacturing systems in computer-based systems is called virtual manufacturing. The computer-based systems execute the manufacturing system models that represent real manufacturing systems. In this paper, we introduce a virtual machining model of milling operations. We developed a prototype virtual machining model that represents 3-axis milling operations. This model is a digital mock-up of a real milling machine; it can generate machine-monitoring data from a process plan. The prototype model provides energy consumption data based on physics-based equations. The model uses the standard interfaces of Step-compliant data interface for Numeric Controls and MTConnect to represent process plan and machine-monitoring data, respectively. With machine-monitoring data for a given process plan, manufacturing engineers can anticipate the impact of a modification in their actual manufacturing systems. This paper describes also how the virtual machining model is integrated into an agent-based model in a simulation environment. While facilitating the use of the virtual machining model, the agent-based model also contributes to the generation of more complex manufacturing system models, such as a virtual shop-floor model. The paper describes initial building steps towards a shop-floor model. Aggregating the data generated during the execution of a virtual shop-floor model allows one to take advantage of data analytics techniques to predict performance at the shop-floor level.
SponsorThe research in this paper was conducted as part of the NIST Program on the Design and Analysis of Smart Manufacturing Systems and supported in part by National Institute of Standards and Technologys Foreign Guest Researcher Program. This research was partially supported by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (MSIP) (No. 2016R1C1B1008820). The authors would like to acknowledge KC Morris and Moneer Helu whose suggestions helped improve and clarify this manuscript.
PublisherSpringer New York LLC
SubjectAdvanced analytics
SubjectData generator
SubjectManufacturing simulation
TitleSimulating a virtual machining model in an agent-based model for advanced analytics
Issue Number4
Volume Number30

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