A Methodology for Continuous Quality Assurance of Production Data

Bokrantz, Jon, 1988 (author): Chalmers tekniska högskola,Chalmers University of Technology

Skoogh, Anders, 1980 (author): Chalmers tekniska högskola,Chalmers University of Technology

Andersson, Jon, 1985 (author): Chalmers tekniska högskola,Chalmers University of Technology

(creator_code:org_t)

2016
2016
English.
In: Proceedings - Winter Simulation Conference. - 0891-7736. ; 2016-February, s. 2088-2099

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Abstract Subject headings

High quality input data is a necessity for successful Discrete Event Simulation (DES) applications, and there are available methodologies for data collection in DES projects. However, in contrast to standalone projects, using DES as a day-to-day engineering tool requires high quality production data to be constantly available. Unfortunately, there are no detailed guidelines that describes how to achieve this. Therefore, this paper presents such a methodology, based on three concurrent engineering projects within the automotive industry. The methodology explains the necessary roles, responsibilities, meetings, and documents to achieve a continuous quality assurance of production data. It also specifies an approach to input data management for DES using the Generic Data Management Tool (GDM-Tool). The expected effects are increased availability of high quality production data and reduced lead time of input data management, especially valuable in manufacturing companies having advanced automated data collection methods and using DES on a daily basis.

By the author/editor: Bokrantz, Jon, 1 ...; Skoogh, Anders, ...; Andersson, Jon, ...; Ruda, Jacob; Lämkull, Dan, 19 ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Mechanical Engin ...; and Production Engin ...

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