TOWARDS CONTINUOUSLY UPDATED SIMULATION MODELS: Combining Automated Raw Data Collection and Automated Data Processing

Published

December 10, 2010

Author(s)

John L. Michaloski, Anders Skoogh, Nils Bengtsson

Abstract

Discrete Event Simulation (DES) is a powerful tool for efficiency improvements in production. However, instead of integrating the tool in the daily work of production engineers, companies apply it mostly in single-purpose studies such as major investment projects. One significant reason is the extensive time-consumption for input data management, which has to be performed for every simulation analysis to avoid making decisions based upon obsolete facts. This paper presents an approach that combines automated raw data collection and automated processing of raw data to simulation information. MTConnect is used for collection of raw data and the GDM-Tool is applied for data processing. The purpose is to enable efficient reuse of DES models by reducing the time-consumption for input data management. Furthermore, the approach is evaluated using production data from aerospace industry.

Proceedings Title

Proceedings of the 2010 Winter Simulation Conference

Conference Dates

December 5-8, 2010

Conference Location

Baltimore, MD

Pub Type

Conferences

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Keywords

Discrete Event Simulation, MTConnect, Statistics, middleware, Data acquisition, Manufacturing

Citation

Michaloski, J. , Skoogh, A. and Bengtsson, N. (2010), TOWARDS CONTINUOUSLY UPDATED SIMULATION MODELS: Combining Automated Raw Data Collection and Automated Data Processing, Proceedings of the 2010 Winter Simulation Conference, Baltimore, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=905776 (Accessed December 30, 2024)