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A Methodology for Continuous Quality Assurance of Production Data

Jon Bokrantz (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Anders Skoogh (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Jon Andersson (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Jacob Ruda ; Dan Lämkull
Winter Simulation Conference, WSC 2015, Huntington Beach, United States, 6-9 December 2015 (0891-7736). p. 2088-2099. (2015)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Discrete Event Simulation, Production, Data Quality

Article number 7408323

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Denna post skapades 2015-12-05. Senast ändrad 2016-09-08.
CPL Pubid: 227337


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Institutioner (Chalmers)

Institutionen för produkt- och produktionsutveckling, Produktionssystem (2005-2017)


Hållbar utveckling

Chalmers infrastruktur