A Methodology for Continuous Quality Assurance of Production Data
Paper in proceeding, 2016

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.

Discrete Event Simulation


Data Quality


Jon Bokrantz

Chalmers, Product and Production Development, Production Systems

Anders Skoogh

Chalmers, Product and Production Development, Production Systems

Jon Andersson

Chalmers, Product and Production Development, Production Systems

Jacob Ruda

Volvo Cars

Dan Lämkull

Volvo Cars

Proceedings - Winter Simulation Conference

08917736 (ISSN)

Vol. 2016-February 2088-2099 7408323

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Driving Forces

Sustainable development

Areas of Advance




More information

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4/5/2022 6