CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Information structure to support Discrete Event Simulation in Manufacturing Systems

Björn Johansson (Institutionen för produkt- och produktionsutveckling) ; Joacim Johnsson ; Anders Kinnander (Institutionen för produkt- och produktionsutveckling)
In Proceedings of the 2003 Winter Simulation Conference p. 1290-1295. (2003)
[Konferensbidrag, refereegranskat]

Discrete Event Simulation (DES) is ranked among the top three tools for management support. However, it lags in becoming the successful tool in the industry that many ex-perts have predicted. In this paper, sixteen projects ac-complished in the area of DES have been analyzed in order to find the reasons for this delay. Most important is the lack of reliable manufacturing data in companies. This is due to inadequate practices within the organization, thus forcing users to build simulation models with estimated data. The paper also answers other questions as to why DES is an underutilized decision tool. DES is an informa-tion-intensive tool for decision-making, but has weak sup-port concerning working procedures within organizations. Continuous generation of manufacturing data at all levels has to be supported by the working procedure in order to increase the use of DES as an everyday tool. How to im-prove this situation also is discussed.

Nyckelord: Discrete Event Simulation, Input data

Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2006-08-28. Senast ändrad 2014-12-09.
CPL Pubid: 7559


Läs direkt!

Lokal fulltext (fritt tillgänglig)

Länk till annan sajt (kan kräva inloggning)

Institutioner (Chalmers)

Institutionen för produkt- och produktionsutveckling (1991-2017)


Hållbar utveckling
Teknisk mekanik

Chalmers infrastruktur

Relaterade publikationer

Denna publikation ingår i:

Discrete Event Simulation -present situation and future potential

On Virtual Development of Manufacturing Systems -Proposal for a Modular Discrete Event Simulation Methodology