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

A Methodology for Input Data Management in Discrete Event Simulation Projects

Anders Skoogh (Institutionen för produkt- och produktionsutveckling, Produktionssystem) ; Björn Johansson (Institutionen för produkt- och produktionsutveckling, Produktionssystem)
In Proceedings of the 2008 Winter Simulation Conference p. 1727-1735. (2008)
[Konferensbidrag, refereegranskat]

Discrete event simulation (DES) projects rely heavily on high input data quality. Therefore, the input data management process is very important and, thus, consumes an extensive amount of time. To secure quality and increase rapidity in DES projects, there are well structured methodologies to follow, but a detailed guideline for how to perform the crucial process of handling input data, is missing. This paper presents such a structured methodology, including description of 13 activities and their internal connections. Having this kind of methodology available, our hypothesis is that the structured way to work increases rapidity for input data management and, consequently, also for entire DES projects. The improvement is expected to be larger in companies with low or medium experience in DES.

Nyckelord: Input data management, Discrete event simulation, Production

Conference Information: 2008 Winter Simulation Conference Miami, FL, DEC 07-10, 2008 Amer Stat Assoc; ACM SIGSIM; IEEE Syst, Man & Cybernet Soc; Inst Ind Engineers; INFORMS, Simulat Soc; NIST; Soc Modeling & Simulat Int

Den här publikationen ingår i följande styrkeområden:

Läs mer om Chalmers styrkeområden  

Denna post skapades 2008-12-04. Senast ändrad 2015-01-16.
CPL Pubid: 79631